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23,902 | ALPRS - A New Approach for License Plate Recognition using the Sift
Algorithm | cs.CV | This paper presents a new approach for the automatic license plate
recognition, which includes the SIFT algorithm in step to locate the plate in
the input image. In this new approach, besides the comparison of the features
obtained with the SIFT algorithm, the correspondence between the spatial
orientations and the pos... | computer science |
23,903 | Simplifying Energy Optimization using Partial Enumeration | cs.CV | Energies with high-order non-submodular interactions have been shown to be
very useful in vision due to their high modeling power. Optimization of such
energies, however, is generally NP-hard. A naive approach that works for small
problem instances is exhaustive search, that is, enumeration of all possible
labelings of... | computer science |
23,904 | Improving Automatic Emotion Recognition from speech using Rhythm and
Temporal feature | cs.CV | This paper is devoted to improve automatic emotion recognition from speech by
incorporating rhythm and temporal features. Research on automatic emotion
recognition so far has mostly been based on applying features like MFCCs, pitch
and energy or intensity. The idea focuses on borrowing rhythm features from
linguistic a... | computer science |
23,905 | Watersheds on edge or node weighted graphs "par l'exemple" | cs.CV | Watersheds have been defined both for node and edge weighted graphs. We show
that they are identical: for each edge (resp.\ node) weighted graph exists a
node (resp. edge) weighted graph with the same minima and catchment basin. | computer science |
23,906 | Least-Squares FIR Models of Low-Resolution MR data for Efficient
Phase-Error Compensation with Simultaneous Artefact Removal | cs.CV | Signal space models in both phase-encode, and frequency-encode directions are
presented for extrapolation of 2D partial kspace. Using the boxcar
representation of low-resolution spatial data, and a geometrical representation
of signal space vectors in both positive and negative phase-encode directions,
a robust predict... | computer science |
23,907 | Voxel-wise Weighted MR Image Enhancement using an Extended Neighborhood
Filter | cs.CV | We present an edge preserving and denoising filter for enhancing the features
in images, which contain an ROI having a narrow spatial extent. Typical
examples include angiograms, or ROI spatially distributed in multiple locations
and contained within an outlying region, such as in multiple-sclerosis. The
filtering invo... | computer science |
23,908 | A Low-Complexity Algorithm for Static Background Estimation from
Cluttered Image Sequences in Surveillance Contexts | cs.CV | For the purposes of foreground estimation, the true background model is
unavailable in many practical circumstances and needs to be estimated from
cluttered image sequences. We propose a sequential technique for static
background estimation in such conditions, with low computational and memory
requirements. Image seque... | computer science |
23,909 | Joint optimization of fitting & matching in multi-view reconstruction | cs.CV | Many standard approaches for geometric model fitting are based on pre-matched
image features. Typically, such pre-matching uses only feature appearances
(e.g. SIFT) and a large number of non-unique features must be discarded in
order to control the false positive rate. In contrast, we solve feature
matching and multi-m... | computer science |
23,910 | Kernel Sparse Models for Automated Tumor Segmentation | cs.CV | In this paper, we propose sparse coding-based approaches for segmentation of
tumor regions from MR images. Sparse coding with data-adapted dictionaries has
been successfully employed in several image recovery and vision problems. The
proposed approaches obtain sparse codes for each pixel in brain magnetic
resonance ima... | computer science |
23,911 | Bilateral Filter: Graph Spectral Interpretation and Extensions | cs.CV | In this paper we study the bilateral filter proposed by Tomasi and Manduchi,
as a spectral domain transform defined on a weighted graph. The nodes of this
graph represent the pixels in the image and a graph signal defined on the nodes
represents the intensity values. Edge weights in the graph correspond to the
bilatera... | computer science |
23,912 | Gaussian Mixture Model for Handwritten Script Identification | cs.CV | This paper presents a Gaussian Mixture Model (GMM) to identify the script of
handwritten words of Roman, Devanagari, Kannada and Telugu scripts. It
emphasizes the significance of directional energies for identification of
script of the word. It is robust to varied image sizes and different styles of
writing. A GMM is m... | computer science |
23,913 | Combined Learning of Salient Local Descriptors and Distance Metrics for
Image Set Face Verification | cs.CV | In contrast to comparing faces via single exemplars, matching sets of face
images increases robustness and discrimination performance. Recent image set
matching approaches typically measure similarities between subspaces or
manifolds, while representing faces in a rigid and holistic manner. Such
representations are eas... | computer science |
23,914 | A Stochastic Grammar for Natural Shapes | cs.CV | We consider object detection using a generic model for natural shapes. A
common approach for object recognition involves matching object models directly
to images. Another approach involves building intermediate representations via
a generic grouping processes. We argue that these two processes (model-based
recognition... | computer science |
23,915 | Statistical Texture Features based Handwritten and Printed Text
Classification in South Indian Documents | cs.CV | In this paper, we use statistical texture features for handwritten and
printed text classification. We primarily aim for word level classification in
south Indian scripts. Words are first extracted from the scanned document. For
each extracted word, statistical texture features are computed such as mean,
standard devia... | computer science |
23,916 | Material quality assessment of silk nanofibers based on swarm
intelligence | cs.CV | In this paper, we propose a novel approach for texture analysis based on
artificial crawler model. Our method assumes that each agent can interact with
the environment and each other. The evolution process converges to an
equilibrium state according to the set of rules. For each textured image, the
feature vector is co... | computer science |
23,917 | Improved Foreground Detection via Block-based Classifier Cascade with
Probabilistic Decision Integration | cs.CV | Background subtraction is a fundamental low-level processing task in numerous
computer vision applications. The vast majority of algorithms process images on
a pixel-by-pixel basis, where an independent decision is made for each pixel. A
general limitation of such processing is that rich contextual information is
not t... | computer science |
23,918 | Handwritten and Printed Text Separation in Real Document | cs.CV | The aim of the paper is to separate handwritten and printed text from a real
document embedded with noise, graphics including annotations. Relying on
run-length smoothing algorithm (RLSA), the extracted pseudo-lines and
pseudo-words are used as basic blocks for classification. To handle this, a
multi-class support vect... | computer science |
23,919 | A Survey of Appearance Models in Visual Object Tracking | cs.CV | Visual object tracking is a significant computer vision task which can be
applied to many domains such as visual surveillance, human computer
interaction, and video compression. In the literature, researchers have
proposed a variety of 2D appearance models. To help readers swiftly learn the
recent advances in 2D appear... | computer science |
23,920 | The State of the Art Recognize in Arabic Script through Combination of
Online and Offline | cs.CV | Handwriting recognition refers to the identification of written characters.
Handwriting recognition has become an acute research area in recent years for
the ease of access of computer science. In this paper primarily discussed
On-line and Off-line handwriting recognition methods for Arabic words which are
often used a... | computer science |
23,921 | Asynchronous Cellular Operations on Gray Images Extracting Topographic
Shape Features and Their Relations | cs.CV | A variety of operations of cellular automata on gray images is presented. All
operations are of a wave-front nature finishing in a stable state. They are
used to extract shape descripting gray objects robust to a variety of pattern
distortions. Topographic terms are used: "lakes", "dales", "dales of dales". It
is shown... | computer science |
23,922 | On Constructing the Value Function for Optimal Trajectory Problem and
its Application to Image Processing | cs.CV | We proposed an algorithm for solving Hamilton-Jacobi equation associated to
an optimal trajectory problem for a vehicle moving inside the pre-specified
domain with the speed depending upon the direction of the motion and current
position of the vehicle. The dynamics of the vehicle is defined by an ordinary
differential... | computer science |
23,923 | A Robust Rapid Approach to Image Segmentation with Optimal Thresholding
and Watershed Transform | cs.CV | This paper describes a novel method for partitioning image into meaningful
segments. The proposed method employs watershed transform, a well-known image
segmentation technique. Along with that, it uses various auxiliary schemes such
as Binary Gradient Masking, dilation which segment the image in proper way. The
algorit... | computer science |
23,924 | Cortical Surface Co-Registration based on MRI Images and Photos | cs.CV | Brain shift, i.e. the change in configuration of the brain after opening the
dura mater, is a key problem in neuronavigation. We present an approach to
co-register intra-operative microscope images with pre-operative MRI to adapt
and optimize intra-operative neuronavigation. The tools are a robust
classification of sul... | computer science |
23,925 | Asymmetric Pruning for Learning Cascade Detectors | cs.CV | Cascade classifiers are one of the most important contributions to real-time
object detection. Nonetheless, there are many challenging problems arising in
training cascade detectors. One common issue is that the node classifier is
trained with a symmetric classifier. Having a low misclassification error rate
does not g... | computer science |
23,926 | Performance Evaluation of Edge-Directed Interpolation Methods for Images | cs.CV | Many interpolation methods have been developed for high visual quality, but
fail for inability to preserve image structures. Edges carry heavy structural
information for detection, determination and classification. Edge-adaptive
interpolation approaches become a center of focus. In this paper, performance
of four edge-... | computer science |
23,927 | An N-dimensional approach towards object based classification of
remotely sensed imagery | cs.CV | Remote sensing techniques are widely used for land cover classification and
urban analysis. The availability of high resolution remote sensing imagery
limits the level of classification accuracy attainable from pixel-based
approach. In this paper object-based classification scheme based on a
hierarchical support vector... | computer science |
23,928 | An intelligent approach towards automatic shape modeling and object
extraction from satellite images using cellular automata based algorithm | cs.CV | Automatic feature extraction domain has witnessed the application of many
intelligent methodologies over past decade; however detection accuracy of these
approaches were limited as object geometry and contextual knowledge were not
given enough consideration. In this paper, we propose a frame work for accurate
detection... | computer science |
23,929 | A Comparative Analysis on the Applicability of Entropy in remote sensing | cs.CV | Entropy is the measure of uncertainty in any data and is adopted for
maximisation of mutual information in many remote sensing operations. The
availability of wide entropy variations motivated us for an investigation over
the suitability preference of these versions to specific operations.
Methodologies were implemente... | computer science |
23,930 | An investigation towards wavelet based optimization of automatic image
registration techniques | cs.CV | Image registration is the process of transforming different sets of data into
one coordinate system and is required for various remote sensing applications
like change detection, image fusion, and other related areas. The effect of
increased relief displacement, requirement of more control points, and
increased data vo... | computer science |
23,931 | Geometric tree kernels: Classification of COPD from airway tree geometry | cs.CV | Methodological contributions: This paper introduces a family of kernels for
analyzing (anatomical) trees endowed with vector valued measurements made along
the tree. While state-of-the-art graph and tree kernels use combinatorial
tree/graph structure with discrete node and edge labels, the kernels presented
in this pap... | computer science |
23,932 | A Robust Alternating Direction Method for Constrained Hybrid Variational
Deblurring Model | cs.CV | In this work, a new constrained hybrid variational deblurring model is
developed by combining the non-convex first- and second-order total variation
regularizers. Moreover, a box constraint is imposed on the proposed model to
guarantee high deblurring performance. The developed constrained hybrid
variational model coul... | computer science |
23,933 | Learning to Rank for Blind Image Quality Assessment | cs.CV | Blind image quality assessment (BIQA) aims to predict perceptual image
quality scores without access to reference images. State-of-the-art BIQA
methods typically require subjects to score a large number of images to train a
robust model. However, the acquisition of image quality scores has several
limitations: 1) score... | computer science |
23,934 | Multi-Column Deep Neural Networks for Offline Handwritten Chinese
Character Classification | cs.CV | Our Multi-Column Deep Neural Networks achieve best known recognition rates on
Chinese characters from the ICDAR 2011 and 2013 offline handwriting
competitions, approaching human performance. | computer science |
23,935 | A Study on Unsupervised Dictionary Learning and Feature Encoding for
Action Classification | cs.CV | Many efforts have been devoted to develop alternative methods to traditional
vector quantization in image domain such as sparse coding and soft-assignment.
These approaches can be split into a dictionary learning phase and a feature
encoding phase which are often closely connected. In this paper, we investigate
the eff... | computer science |
23,936 | Minutiae Based Thermal Face Recognition using Blood Perfusion Data | cs.CV | This paper describes an efficient approach for human face recognition based
on blood perfusion data from infra-red face images. Blood perfusion data are
characterized by the regional blood flow in human tissue and therefore do not
depend entirely on surrounding temperature. These data bear a great potential
for derivin... | computer science |
23,937 | Automated Thermal Face recognition based on Minutiae Extraction | cs.CV | In this paper an efficient approach for human face recognition based on the
use of minutiae points in thermal face image is proposed. The thermogram of
human face is captured by thermal infra-red camera. Image processing methods
are used to pre-process the captured thermogram, from which different
physiological feature... | computer science |
23,938 | A Comparative Study of Human thermal face recognition based on Haar
wavelet transform (HWT) and Local Binary Pattern (LBP) | cs.CV | Thermal infra-red (IR) images focus on changes of temperature distribution on
facial muscles and blood vessels. These temperature changes can be regarded as
texture features of images. A comparative study of face recognition methods
working in thermal spectrum is carried out in this paper. In these study two
local-matc... | computer science |
23,939 | Boosting in Location Space | cs.CV | The goal of object detection is to find objects in an image. An object
detector accepts an image and produces a list of locations as $(x,y)$ pairs.
Here we introduce a new concept: {\bf location-based boosting}. Location-based
boosting differs from previous boosting algorithms because it optimizes a new
spatial loss fu... | computer science |
23,940 | Minutiae Based Thermal Human Face Recognition using Label Connected
Component Algorithm | cs.CV | In this paper, a thermal infra red face recognition system for human
identification and verification using blood perfusion data and back propagation
feed forward neural network is proposed. The system consists of three steps. At
the very first step face region is cropped from the colour 24-bit input images.
Secondly fa... | computer science |
23,941 | Thermal Human face recognition based on Haar wavelet transform and
series matching technique | cs.CV | Thermal infrared (IR) images represent the heat patterns emitted from hot
object and they do not consider the energies reflected from an object. Objects
living or non-living emit different amounts of IR energy according to their
body temperature and characteristics. Humans are homoeothermic and hence
capable of maintai... | computer science |
23,942 | Practical Matrix Completion and Corruption Recovery using Proximal
Alternating Robust Subspace Minimization | cs.CV | Low-rank matrix completion is a problem of immense practical importance.
Recent works on the subject often use nuclear norm as a convex surrogate of the
rank function. Despite its solid theoretical foundation, the convex version of
the problem often fails to work satisfactorily in real-life applications. Real
data ofte... | computer science |
23,943 | Topology preserving thinning for cell complexes | cs.CV | A topology preserving skeleton is a synthetic representation of an object
that retains its topology and many of its significant morphological properties.
The process of obtaining the skeleton, referred to as skeletonization or
thinning, is a very active research area. It plays a central role in reducing
the amount of i... | computer science |
23,944 | Radar shadow detection in SAR images using DEM and projections | cs.CV | Synthetic aperture radar (SAR) images are widely used in target recognition
tasks nowadays. In this letter, we propose an automatic approach for radar
shadow detection and extraction from SAR images utilizing geometric projections
along with the digital elevation model (DEM) which corresponds to the given
geo-reference... | computer science |
23,945 | Single image super resolution in spatial and wavelet domain | cs.CV | Recently single image super resolution is very important research area to
generate high resolution image from given low resolution image. Algorithms of
single image resolution are mainly based on wavelet domain and spatial domain.
Filters support to model the regularity of natural images is exploited in
wavelet domain ... | computer science |
23,946 | A multi-stream hmm approach to offline handwritten arabic word
recognition | cs.CV | In This paper we presented new approach for cursive Arabic text recognition
system. The objective is to propose methodology analytical offline recognition
of handwritten Arabic for rapid implementation. The first part in the writing
recognition system is the preprocessing phase is the preprocessing phase to
prepare the... | computer science |
23,947 | Robust Periocular Recognition By Fusing Sparse Representations of Color
and Geometry Information | cs.CV | In this paper, we propose a re-weighted elastic net (REN) model for biometric
recognition. The new model is applied to data separated into geometric and
color spatial components. The geometric information is extracted using a fast
cartoon - texture decomposition model based on a dual formulation of the total
variation ... | computer science |
23,948 | The Classification Accuracy of Multiple-Metric Learning Algorithm on
Multi-Sensor Fusion | cs.CV | This paper focuses on two main issues; first one is the impact of Similarity
Search to learning the training sample in metric space, and searching based on
supervised learning classi-fication. In particular, four metrics space
searching are based on spatial information that are introduced as the
following; Cheby-shev D... | computer science |
23,949 | A Novel Approach in detecting pose orientation of a 3D face required for
face | cs.CV | In this paper we present a novel approach that takes as input a 3D image and
gives as output its pose i.e. it tells whether the face is oriented with
respect the X, Y or Z axes with angles of rotation up to 40 degree. All the
experiments have been performed on the FRAV3D Database. After applying the
proposed algorithm ... | computer science |
23,950 | A method for nose-tip based 3D face registration using maximum intensity
algorithm | cs.CV | In this paper we present a novel technique of registering 3D images across
pose. In this context, we have taken into account the images which are aligned
across X, Y and Z axes. We have first determined the angle across which the
image is rotated with respect to X, Y and Z axes and then translation is
performed on the ... | computer science |
23,951 | SEEDS: Superpixels Extracted via Energy-Driven Sampling | cs.CV | Superpixel algorithms aim to over-segment the image by grouping pixels that
belong to the same object. Many state-of-the-art superpixel algorithms rely on
minimizing objective functions to enforce color ho- mogeneity. The optimization
is accomplished by sophis- ticated methods that progressively build the
superpix- els... | computer science |
23,952 | GRED: Graph-Regularized 3D Shape Reconstruction from Highly Anisotropic
and Noisy Images | cs.CV | Analysis of microscopy images can provide insight into many biological
processes. One particularly challenging problem is cell nuclear segmentation in
highly anisotropic and noisy 3D image data. Manually localizing and segmenting
each and every cell nuclei is very time consuming, which remains a bottleneck
in large sca... | computer science |
23,953 | A novel approach for nose tip detection using smoothing by weighted
median filtering applied to 3D face images in variant poses | cs.CV | This paper is based on an application of smoothing of 3D face images followed
by feature detection i.e. detecting the nose tip. The present method uses a
weighted mesh median filtering technique for smoothing. In this present
smoothing technique we have built the neighborhood surrounding a particular
point in 3D face a... | computer science |
23,954 | Detection of pose orientation across single and multiple axes in case of
3D face images | cs.CV | In this paper, we propose a new approach that takes as input a 3D face image
across X, Y and Z axes as well as both Y and X axes and gives output as its
pose i.e. it tells whether the face is oriented with respect the X, Y or Z axes
or is it oriented across multiple axes with angles of rotation up to 42 degree.
All the... | computer science |
23,955 | A novel approach to nose-tip and eye corners detection using H-K
Curvature Analysis in case of 3D images | cs.CV | In this paper we present a novel method that combines a HK curvature-based
approach for three-dimensional (3D) face detection in different poses (X-axis,
Y-axis and Z-axis). Salient face features, such as the eyes and nose, are
detected through an analysis of the curvature of the entire facial surface. All
the experime... | computer science |
23,956 | Blind Deconvolution via Maximum Kurtosis Adaptive Filtering | cs.CV | In this paper, we present an algorithm for identifying a parametrically
described destructive unknown system based on a non-gaussianity measure. It is
known that under certain conditions the output of a linear system is more
gaussian than the input. Hence, an inverse filter is searched, such that its
output is minimall... | computer science |
23,957 | Development of Comprehensive Devnagari Numeral and Character Database
for Offline Handwritten Character Recognition | cs.CV | In handwritten character recognition, benchmark database plays an important
role in evaluating the performance of various algorithms and the results
obtained by various researchers. In Devnagari script, there is lack of such
official benchmark. This paper focuses on the generation of offline benchmark
database for Devn... | computer science |
23,958 | Generic Image Classification Approaches Excel on Face Recognition | cs.CV | The main finding of this work is that the standard image classification
pipeline, which consists of dictionary learning, feature encoding, spatial
pyramid pooling and linear classification, outperforms all state-of-the-art
face recognition methods on the tested benchmark datasets (we have tested on
AR, Extended Yale B,... | computer science |
23,959 | Scan-based Compressed Terahertz Imaging and Real-Time Reconstruction via
the Complex-valued Fast Block Sparse Bayesian Learning Algorithm | cs.CV | Compressed Sensing based Terahertz imaging (CS-THz) is a computational
imaging technique. It uses only one THz receiver to accumulate the random
modulated image measurements where the original THz image is reconstruct from
these measurements using compressed sensing solvers. The advantage of the
CS-THz is its reduced a... | computer science |
23,960 | Diffeomorphic Metric Mapping and Probabilistic Atlas Generation of
Hybrid Diffusion Imaging based on BFOR Signal Basis | cs.CV | We propose a large deformation diffeomorphic metric mapping algorithm to
align multiple b-value diffusion weighted imaging (mDWI) data, specifically
acquired via hybrid diffusion imaging (HYDI), denoted as LDDMM-HYDI. We then
propose a Bayesian model for estimating the white matter atlas from HYDIs. We
adopt the work g... | computer science |
23,961 | Contextually learnt detection of unusual motion-based behaviour in
crowded public spaces | cs.CV | In this paper we are interested in analyzing behaviour in crowded public
places at the level of holistic motion. Our aim is to learn, without user
input, strong scene priors or labelled data, the scope of "normal behaviour"
for a particular scene and thus alert to novelty in unseen footage. The first
contribution is a ... | computer science |
23,962 | Multiple-object tracking in cluttered and crowded public spaces | cs.CV | This paper addresses the problem of tracking moving objects of variable
appearance in challenging scenes rich with features and texture. Reliable
tracking is of pivotal importance in surveillance applications. It is made
particularly difficult by the nature of objects encountered in such scenes:
these too change in app... | computer science |
23,963 | Characterness: An Indicator of Text in the Wild | cs.CV | Text in an image provides vital information for interpreting its contents,
and text in a scene can aide with a variety of tasks from navigation, to
obstacle avoidance, and odometry. Despite its value, however, identifying
general text in images remains a challenging research problem. Motivated by the
need to consider t... | computer science |
23,964 | Online Algorithms for Factorization-Based Structure from Motion | cs.CV | We present a family of online algorithms for real-time factorization-based
structure from motion, leveraging a relationship between incremental singular
value decomposition and recently proposed methods for online matrix completion.
Our methods are orders of magnitude faster than previous state of the art, can
handle m... | computer science |
23,965 | Adopting level set theory based algorithms to segment human ear | cs.CV | Human identification has always been a topic that interested researchers
around the world. Biometric methods are found to be more effective and much
easier for the users than the traditional identification methods like keys,
smart cards and passwords. Unlike with the traditional methods, with biometric
methods the data... | computer science |
23,966 | Face Verification Using Boosted Cross-Image Features | cs.CV | This paper proposes a new approach for face verification, where a pair of
images needs to be classified as belonging to the same person or not. This
problem is relatively new and not well-explored in the literature. Current
methods mostly adopt techniques borrowed from face recognition, and process
each of the images i... | computer science |
23,967 | CSIFT Based Locality-constrained Linear Coding for Image Classification | cs.CV | In the past decade, SIFT descriptor has been witnessed as one of the most
robust local invariant feature descriptors and widely used in various vision
tasks. Most traditional image classification systems depend on the
luminance-based SIFT descriptors, which only analyze the gray level variations
of the images. Misclass... | computer science |
23,968 | Identificación y Registro Catastral de Cuerpos de Agua mediante
Técnicas de Procesamiento Digital de Imagenes | cs.CV | The effects of global climate change on Peruvian glaciers have brought about
several processes of deglaciation during the last few years. The immediate
effect is the change of size of lakes and rivers. Public institutions that
monitor water resources currently have only recent studies which make up less
than 10% of the... | computer science |
23,969 | Correcting Multi-focus Images via Simple Standard Deviation for Image
Fusion | cs.CV | Image fusion is one of the recent trends in image registration which is an
essential field of image processing. The basic principle of this paper is to
fuse multi-focus images using simple statistical standard deviation. Firstly,
the simple standard deviation for the k-by-k window inside each of the
multi-focus images ... | computer science |
23,970 | An Image-Based Fluid Surface Pattern Model | cs.CV | This work aims at generating a model of the ocean surface and its dynamics
from one or more video cameras. The idea is to model wave patterns from video
as a first step towards a larger system of photogrammetric monitoring of marine
conditions for use in offshore oil drilling platforms. The first part of the
proposed a... | computer science |
23,971 | Overlapping and Non-overlapping Camera Layouts for Robot Pose Estimation | cs.CV | We study the use of overlapping and non-overlapping camera layouts in
estimating the ego-motion of a moving robot. To estimate the location and
orientation of the robot, we investigate using four cameras as non-overlapping
individuals, and as two stereo pairs. The pros and cons of the two approaches
are elucidated. The... | computer science |
23,972 | Pose Induction for Novel Object Categories | cs.CV | We address the task of predicting pose for objects of unannotated object
categories from a small seed set of annotated object classes. We present a
generalized classifier that can reliably induce pose given a single instance of
a novel category. In case of availability of a large collection of novel
instances, our appr... | computer science |
23,973 | Image Denoising using Optimally Weighted Bilateral Filters: A Sure and
Fast Approach | cs.CV | The bilateral filter is known to be quite effective in denoising images
corrupted with small dosages of additive Gaussian noise. The denoising
performance of the filter, however, is known to degrade quickly with the
increase in noise level. Several adaptations of the filter have been proposed
in the literature to addre... | computer science |
23,974 | Fast and Accurate Bilateral Filtering using Gauss-Polynomial
Decomposition | cs.CV | The bilateral filter is a versatile non-linear filter that has found diverse
applications in image processing, computer vision, computer graphics, and
computational photography. A widely-used form of the filter is the Gaussian
bilateral filter in which both the spatial and range kernels are Gaussian. A
direct implement... | computer science |
23,975 | The Cross-Depiction Problem: Computer Vision Algorithms for Recognising
Objects in Artwork and in Photographs | cs.CV | The cross-depiction problem is that of recognising visual objects regardless
of whether they are photographed, painted, drawn, etc. It is a potentially
significant yet under-researched problem. Emulating the remarkable human
ability to recognise objects in an astonishingly wide variety of depictive
forms is likely to a... | computer science |
23,976 | SynthCam3D: Semantic Understanding With Synthetic Indoor Scenes | cs.CV | We are interested in automatic scene understanding from geometric cues. To
this end, we aim to bring semantic segmentation in the loop of real-time
reconstruction. Our semantic segmentation is built on a deep autoencoder stack
trained exclusively on synthetic depth data generated from our novel 3D scene
library, SynthC... | computer science |
23,977 | Application of S-Transform on Hyper kurtosis based Modified Duo
Histogram Equalized DIC images for Pre-cancer Detection | cs.CV | Our proposed hyper kurtosis based histogram equalized DIC images enhances the
contrast by preserving the brightness. The evolution and development of
precancerous activity among tissues are studied through S-transform (ST). The
significant variations of amplitude spectra can be observed due to increased
medium roughnes... | computer science |
23,978 | Volumetric Bias in Segmentation and Reconstruction: Secrets and
Solutions | cs.CV | Many standard optimization methods for segmentation and reconstruction
compute ML model estimates for appearance or geometry of segments, e.g.
Zhu-Yuille 1996, Torr 1998, Chan-Vese 2001, GrabCut 2004, Delong et al. 2012.
We observe that the standard likelihood term in these formulations corresponds
to a generalized pro... | computer science |
23,979 | Image Segmentation by Size-Dependent Single Linkage Clustering of a
Watershed Basin Graph | cs.CV | We present a method for hierarchical image segmentation that defines a
disaffinity graph on the image, over-segments it into watershed basins, defines
a new graph on the basins, and then merges basins with a modified,
size-dependent version of single linkage clustering. The quasilinear runtime of
the method makes it su... | computer science |
23,980 | DeepDriving: Learning Affordance for Direct Perception in Autonomous
Driving | cs.CV | Today, there are two major paradigms for vision-based autonomous driving
systems: mediated perception approaches that parse an entire scene to make a
driving decision, and behavior reflex approaches that directly map an input
image to a driving action by a regressor. In this paper, we propose a third
paradigm: a direct... | computer science |
23,981 | Joint Object and Part Segmentation using Deep Learned Potentials | cs.CV | Segmenting semantic objects from images and parsing them into their
respective semantic parts are fundamental steps towards detailed object
understanding in computer vision. In this paper, we propose a joint solution
that tackles semantic object and part segmentation simultaneously, in which
higher object-level context... | computer science |
23,982 | Dense Optical Flow Prediction from a Static Image | cs.CV | Given a scene, what is going to move, and in what direction will it move?
Such a question could be considered a non-semantic form of action prediction.
In this work, we present a convolutional neural network (CNN) based approach
for motion prediction. Given a static image, this CNN predicts the future
motion of each an... | computer science |
23,983 | Object-Scene Convolutional Neural Networks for Event Recognition in
Images | cs.CV | Event recognition from still images is of great importance for image
understanding. However, compared with event recognition in videos, there are
much fewer research works on event recognition in images. This paper addresses
the issue of event recognition from images and proposes an effective method
with deep neural ne... | computer science |
23,984 | Learning Temporal Embeddings for Complex Video Analysis | cs.CV | In this paper, we propose to learn temporal embeddings of video frames for
complex video analysis. Large quantities of unlabeled video data can be easily
obtained from the Internet. These videos possess the implicit weak label that
they are sequences of temporally and semantically coherent images. We leverage
this info... | computer science |
23,985 | Joint Multi-Leaf Segmentation, Alignment and Tracking from Fluorescence
Plant Videos | cs.CV | This paper proposes a novel framework for fluorescence plant video
processing. The plant research community is interested in the leaf-level
photosynthetic analysis within a plant. A prerequisite for such analysis is to
segment all leaves, estimate their structures, and track them over time. We
identify this as a joint ... | computer science |
23,986 | Detail-preserving and Content-aware Variational Multi-view Stereo
Reconstruction | cs.CV | Accurate recovery of 3D geometrical surfaces from calibrated 2D multi-view
images is a fundamental yet active research area in computer vision. Despite
the steady progress in multi-view stereo reconstruction, most existing methods
are still limited in recovering fine-scale details and sharp features while
suppressing n... | computer science |
23,987 | ReNet: A Recurrent Neural Network Based Alternative to Convolutional
Networks | cs.CV | In this paper, we propose a deep neural network architecture for object
recognition based on recurrent neural networks. The proposed network, called
ReNet, replaces the ubiquitous convolution+pooling layer of the deep
convolutional neural network with four recurrent neural networks that sweep
horizontally and verticall... | computer science |
23,988 | On a fast bilateral filtering formulation using functional
rearrangements | cs.CV | We introduce an exact reformulation of a broad class of neighborhood filters,
among which the bilateral filters, in terms of two functional rearrangements:
the decreasing and the relative rearrangements.
Independently of the image spatial dimension (one-dimensional signal, image,
volume of images, etc.), we reformula... | computer science |
23,989 | Object Class Detection and Classification using Multi Scale Gradient and
Corner Point based Shape Descriptors | cs.CV | This paper presents a novel multi scale gradient and a corner point based
shape descriptors. The novel multi scale gradient based shape descriptor is
combined with generic Fourier descriptors to extract contour and region based
shape information. Shape information based object class detection and
classification techniq... | computer science |
23,990 | Sequence to Sequence -- Video to Text | cs.CV | Real-world videos often have complex dynamics; and methods for generating
open-domain video descriptions should be sensitive to temporal structure and
allow both input (sequence of frames) and output (sequence of words) of
variable length. To approach this problem, we propose a novel end-to-end
sequence-to-sequence mod... | computer science |
23,991 | Modeling Representation of Videos for Anomaly Detection using Deep
Learning: A Review | cs.CV | This review article surveys the current progresses made toward video-based
anomaly detection. We address the most fundamental aspect for video anomaly
detection, that is, video feature representation. Much research works have been
done in finding the right representation to perform anomaly detection in video
streams ac... | computer science |
23,992 | Learning Document Image Binarization from Data | cs.CV | In this paper we present a fully trainable binarization solution for degraded
document images. Unlike previous attempts that often used simple features with
a series of pre- and post-processing, our solution encodes all heuristics about
whether or not a pixel is foreground text into a high-dimensional feature
vector an... | computer science |
23,993 | Activity recognition from videos with parallel hypergraph matching on
GPUs | cs.CV | In this paper, we propose a method for activity recognition from videos based
on sparse local features and hypergraph matching. We benefit from special
properties of the temporal domain in the data to derive a sequential and fast
graph matching algorithm for GPUs.
Traditionally, graphs and hypergraphs are frequently ... | computer science |
23,994 | See the Difference: Direct Pre-Image Reconstruction and Pose Estimation
by Differentiating HOG | cs.CV | The Histogram of Oriented Gradient (HOG) descriptor has led to many advances
in computer vision over the last decade and is still part of many state of the
art approaches. We realize that the associated feature computation is piecewise
differentiable and therefore many pipelines which build on HOG can be made
different... | computer science |
23,995 | Unsupervised Learning of Visual Representations using Videos | cs.CV | Is strong supervision necessary for learning a good visual representation? Do
we really need millions of semantically-labeled images to train a Convolutional
Neural Network (CNN)? In this paper, we present a simple yet surprisingly
powerful approach for unsupervised learning of CNN. Specifically, we use
hundreds of tho... | computer science |
23,996 | A Gaussian Scale Space Approach For Exudates Detection, Classification
And Severity Prediction | cs.CV | In the context of Computer Aided Diagnosis system for diabetic retinopathy,
we present a novel method for detection of exudates and their classification
for disease severity prediction. The method is based on Gaussian scale space
based interest map and mathematical morphology. It makes use of support vector
machine for... | computer science |
23,997 | Adaptive diffusion constrained total variation scheme with application
to `cartoon + texture + edge' image decomposition | cs.CV | We consider an image decomposition model involving a variational
(minimization) problem and an evolutionary partial differential equation (PDE).
We utilize a linear inhomogenuous diffusion constrained and weighted total
variation (TV) scheme for image adaptive decomposition. An adaptive weight
along with TV regularizat... | computer science |
23,998 | Fast Guided Filter | cs.CV | The guided filter is a technique for edge-aware image filtering. Because of
its nice visual quality, fast speed, and ease of implementation, the guided
filter has witnessed various applications in real products, such as image
editing apps in phones and stereo reconstruction, and has been included in
official MATLAB and... | computer science |
23,999 | Proceedings of The 39th Annual Workshop of the Austrian Association for
Pattern Recognition (OAGM), 2015 | cs.CV | The 39th annual workshop of the Austrian Association for Pattern Recognition
(OAGM/AAPR) provides a platform for presentation and discussion of research
progress as well as research projects within the OAGM/AAPR community. | computer science |
24,000 | Fusion of Range and Thermal Images for Person Detection | cs.CV | Detecting people in images is a challenging problem. Differences in pose,
clothing and lighting, along with other factors, cause a lot of variation in
their appearance. To overcome these issues, we propose a system based on fused
range and thermal infrared images. These measurements show considerably less
variation and... | computer science |
24,001 | Saliency Driven Image Manipulation | cs.CV | Have you ever taken a picture only to find out that an unimportant background
object ended up being overly salient? Or one of those team sports photos where
your favorite player blends with the rest? Wouldn't it be nice if you could
tweak these pictures just a little bit so that the distractor would be
attenuated and y... | computer science |
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