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23,702 | Segmentation of Camera Captured Business Card Images for Mobile Devices | cs.CV | Due to huge deformation in the camera captured images, variety in nature of
the business cards and the computational constraints of the mobile devices,
design of an efficient Business Card Reader (BCR) is challenging to the
researchers. Extraction of text regions and segmenting them into characters is
one of such chall... | computer science |
23,703 | Application of Freeman Chain Codes: An Alternative Recognition Technique
for Malaysian Car Plates | cs.CV | Various applications of car plate recognition systems have been developed
using various kinds of methods and techniques by researchers all over the
world. The applications developed were only suitable for specific country due
to its standard specification endorsed by the transport department of
particular countries. Th... | computer science |
23,704 | Illustrating Color Evolution and Color Blindness by the Decoding Model
of Color Vision | cs.CV | A symmetrical model of color vision, the decoding model as a new version of
zone model, was introduced. The model adopts new continuous-valued logic and
works in a way very similar to the way a 3-8 decoder in a numerical circuit
works. By the decoding model, Young and Helmholtz's tri-pigment theory and
Hering's opponen... | computer science |
23,705 | Automatic segmentation of HeLa cell images | cs.CV | In this work, the possibilities for segmentation of cells from their
background and each other in digital image were tested, combined and improoved.
Lot of images with young, adult and mixture cells were able to prove the
quality of described algorithms. Proper segmentation is one of the main task of
image analysis and... | computer science |
23,706 | A Review of Research on Devnagari Character Recognition | cs.CV | English Character Recognition (CR) has been extensively studied in the last
half century and progressed to a level, sufficient to produce technology driven
applications. But same is not the case for Indian languages which are
complicated in terms of structure and computations. Rapidly growing
computational power may en... | computer science |
23,707 | Diffusion framework for geometric and photometric data fusion in
non-rigid shape analysis | cs.CV | In this paper, we explore the use of the diffusion geometry framework for the
fusion of geometric and photometric information in local and global shape
descriptors. Our construction is based on the definition of a diffusion process
on the shape manifold embedded into a high-dimensional space where the
embedding coordin... | computer science |
23,708 | A Panorama on Multiscale Geometric Representations, Intertwining
Spatial, Directional and Frequency Selectivity | cs.CV | The richness of natural images makes the quest for optimal representations in
image processing and computer vision challenging. The latter observation has
not prevented the design of image representations, which trade off between
efficiency and complexity, while achieving accurate rendering of smooth regions
as well as... | computer science |
23,709 | Image Retrieval Method Using Top-surf Descriptor | cs.CV | This report presents the results and details of a content-based image
retrieval project using the Top-surf descriptor. The experimental results are
preliminary, however, it shows the capability of deducing objects from parts of
the objects or from the objects that are similar. This paper uses a dataset
consisting of 12... | computer science |
23,710 | Visual Concept Detection and Real Time Object Detection | cs.CV | Bag-of-words model is implemented and tried on 10-class visual concept
detection problem. The experimental results show that "DURF+ERT+SVM"
outperforms "SIFT+ERT+SVM" both in detection performance and computation
efficiency. Besides, combining DURF and SIFT results in even better detection
performance. Real-time object... | computer science |
23,711 | A Statistical Nonparametric Approach of Face Recognition: Combination of
Eigenface & Modified k-Means Clustering | cs.CV | Facial expressions convey non-verbal cues, which play an important role in
interpersonal relations. Automatic recognition of human face based on facial
expression can be an important component of natural human-machine interface. It
may also be used in behavioural science. Although human can recognize the face
practical... | computer science |
23,712 | Gaussian Affine Feature Detector | cs.CV | A new method is proposed to get image features' geometric information. Using
Gaussian as an input signal, a theoretical optimal solution to calculate
feature's affine shape is proposed. Based on analytic result of a feature
model, the method is different from conventional iterative approaches. From the
model, feature's... | computer science |
23,713 | Fuzzy Rules and Evidence Theory for Satellite Image Analysis | cs.CV | Design of a fuzzy rule based classifier is proposed. The performance of the
classifier for multispectral satellite image classification is improved using
Dempster- Shafer theory of evidence that exploits information of the
neighboring pixels. The classifiers are tested rigorously with two known images
and their perform... | computer science |
23,714 | Benchmarking the Quality of Diffusion-Weighted Images | cs.CV | We present a novel method that allows for measuring the quality of
diffusion-weighted MR images dependent on the image resolution and the image
noise. For this purpose, we introduce a new thresholding technique so that
noise and the signal can automatically be estimated from a single data set.
Thus, no user interaction... | computer science |
23,715 | Off-Line Handwritten Signature Retrieval using Curvelet Transforms | cs.CV | In this paper, a new method for offline handwritten signature retrieval is
based on curvelet transform is proposed. Many applications in image processing
require similarity retrieval of an image from a large collection of images. In
such cases, image indexing becomes important for efficient organization and
retrieval o... | computer science |
23,716 | Template-based matching using weight maps | cs.CV | Template matching is one of the most prevalent pattern recognition methods
worldwide. It has found uses in most visual concept detection fields. In this
work, we investigate methods for improving template matching by adjusting the
weights of different regions of the template. We compare several weight maps
and test the... | computer science |
23,717 | GEOMIR2K9 - A Similar Scene Finder | cs.CV | The main goal of the GEOMIR2K9 project is to create a software program that
is able to find similar scenic images clustered by geographical location and
sorted by similarity based only on their visual content. The user should be
able to input a query image, based on this given query image the program should
find releva... | computer science |
23,718 | From a Modified Ambrosio-Tortorelli to a Randomized Part Hierarchy Tree | cs.CV | We demonstrate the possibility of coding parts, features that are higher
level than boundaries, using a modified AT field after augmenting the
interaction term of the AT energy with a non-local term and weakening the
separation into boundary/not-boundary phases. The iteratively extracted parts
using the level curves wi... | computer science |
23,719 | Extracting Parts of 2D Shapes Using Local and Global Interactions
Simultaneously | cs.CV | Perception research provides strong evidence in favor of part based
representation of shapes in human visual system. Despite considerable
differences among different theories in terms of how part boundaries are found,
there is substantial agreement on that the process depends on many local and
global geometric factors.... | computer science |
23,720 | An Axis-Based Representation for Recognition | cs.CV | This paper presents a new axis-based shape representation scheme along with a
matching framework to address the problem of generic shape recognition. The
main idea is to define the relative spatial arrangement of local symmetry axes
and their metric properties in a shape centered coordinate frame. The resulting
descrip... | computer science |
23,721 | Disconnected Skeleton: Shape at its Absolute Scale | cs.CV | We present a new skeletal representation along with a matching framework to
address the deformable shape recognition problem. The disconnectedness arises
as a result of excessive regularization that we use to describe a shape at an
attainably coarse scale. Our motivation is to rely on the stable properties of
the shape... | computer science |
23,722 | Hue Histograms to Spatiotemporal Local Features for Action Recognition | cs.CV | Despite the recent developments in spatiotemporal local features for action
recognition in video sequences, local color information has so far been
ignored. However, color has been proved an important element to the success of
automated recognition of objects and scenes. In this paper we extend the
space-time interest ... | computer science |
23,723 | A Meshless Method for Variational Nonrigid 2-D Shape Registration | cs.CV | We present a method for nonrigid registration of 2-D geometric shapes. Our
contribution is twofold. First, we extend the classic chamfer-matching energy
to a variational functional. Secondly, we introduce a meshless deformation
model that can handle significant high-curvature deformations. We represent 2-D
shapes impli... | computer science |
23,724 | Curved Gabor Filters for Fingerprint Image Enhancement | cs.CV | Gabor filters play an important role in many application areas for the
enhancement of various types of images and the extraction of Gabor features.
For the purpose of enhancing curved structures in noisy images, we introduce
curved Gabor filters which locally adapt their shape to the direction of flow.
These curved Gab... | computer science |
23,725 | Positive Semidefinite Metric Learning Using Boosting-like Algorithms | cs.CV | The success of many machine learning and pattern recognition methods relies
heavily upon the identification of an appropriate distance metric on the input
data. It is often beneficial to learn such a metric from the input training
data, instead of using a default one such as the Euclidean distance. In this
work, we pro... | computer science |
23,726 | Preprocessing: A Step in Automating Early Detection of Cervical Cancer | cs.CV | This paper has been withdrawn | computer science |
23,727 | A supervised clustering approach for fMRI-based inference of brain
states | cs.CV | We propose a method that combines signals from many brain regions observed in
functional Magnetic Resonance Imaging (fMRI) to predict the subject's behavior
during a scanning session. Such predictions suffer from the huge number of
brain regions sampled on the voxel grid of standard fMRI data sets: the curse
of dimensi... | computer science |
23,728 | Dimensionality Reduction and Classification feature using Mutual
Information applied to Hyperspectral Images : A Filter strategy based
algorithm | cs.CV | Hyperspectral images (HIS) classification is a high technical remote sensing
tool. The goal is to reproduce a thematic map that will be compared with a
reference ground truth map (GT), constructed by expecting the region. The HIS
contains more than a hundred bidirectional measures, called bands (or simply
images), of t... | computer science |
23,729 | Demosaicing and Superresolution for Color Filter Array via Residual
Image Reconstruction and Sparse Representation | cs.CV | A framework of demosaicing and superresolution for color filter array (CFA)
via residual image reconstruction and sparse representation is presented.Given
the intermediate image produced by certain demosaicing and interpolation
technique, a residual image between the final reconstruction image and the
intermediate imag... | computer science |
23,730 | Intra-Retinal Layer Segmentation of 3D Optical Coherence Tomography
Using Coarse Grained Diffusion Map | cs.CV | Optical coherence tomography (OCT) is a powerful and noninvasive method for
retinal imaging. In this paper, we introduce a fast segmentation method based
on a new variant of spectral graph theory named diffusion maps. The research is
performed on spectral domain (SD) OCT images depicting macular and optic nerve
head ap... | computer science |
23,731 | Enhanced Techniques for PDF Image Segmentation and Text Extraction | cs.CV | Extracting text objects from the PDF images is a challenging problem. The
text data present in the PDF images contain certain useful information for
automatic annotation, indexing etc. However variations of the text due to
differences in text style, font, size, orientation, alignment as well as
complex structure make t... | computer science |
23,732 | Combined Descriptors in Spatial Pyramid Domain for Image Classification | cs.CV | Recently spatial pyramid matching (SPM) with scale invariant feature
transform (SIFT) descriptor has been successfully used in image classification.
Unfortunately, the codebook generation and feature quantization procedures
using SIFT feature have the high complexity both in time and space. To address
this problem, in ... | computer science |
23,733 | Band Selection and Classification of Hyperspectral Images using Mutual
Information: An algorithm based on minimizing the error probability using the
inequality of Fano | cs.CV | Hyperspectral image is a substitution of more than a hundred images, called
bands, of the same region. They are taken at juxtaposed frequencies. The
reference image of the region is called Ground Truth map (GT). the problematic
is how to find the good bands to classify the pixels of regions; because the
bands can be no... | computer science |
23,734 | Multibiometric: Feature Level Fusion Using FKP Multi-Instance biometric | cs.CV | This paper proposed the use of multi-instance feature level fusion as a means
to improve the performance of Finger Knuckle Print (FKP) verification. A
log-Gabor filter has been used to extract the image local orientation
information, and represent the FKP features. Experiments are performed using
the FKP database, whic... | computer science |
23,735 | A Survey of Multibiometric Systems | cs.CV | Most biometric systems deployed in real-world applications are unimodal.
Using unimodal biometric systems have to contend with a variety of problems
such as: Noise in sensed data; Intra-class variations; Inter-class
similarities; Non-universality; Spoof attacks. These problems have addressed by
using multibiometric sys... | computer science |
23,736 | Blurred Image Classification based on Adaptive Dictionary | cs.CV | Two types of framework for blurred image classification based on adaptive
dictionary are proposed. Given a blurred image, instead of image deblurring,
the semantic category of the image is determined by blur insensitive sparse
coefficients calculated depending on an adaptive dictionary. The dictionary is
adaptive to th... | computer science |
23,737 | Robust Degraded Face Recognition Using Enhanced Local Frequency
Descriptor and Multi-scale Competition | cs.CV | Recognizing degraded faces from low resolution and blurred images are common
yet challenging task. Local Frequency Descriptor (LFD) has been proved to be
effective for this task yet it is extracted from a spatial neighborhood of a
pixel of a frequency plane independently regardless of correlations between
frequencies. ... | computer science |
23,738 | Learning Locality-Constrained Collaborative Representation for Face
Recognition | cs.CV | The model of low-dimensional manifold and sparse representation are two
well-known concise models that suggest each data can be described by a few
characteristics. Manifold learning is usually investigated for dimension
reduction by preserving some expected local geometric structures from the
original space to a low-di... | computer science |
23,739 | A comparative study on face recognition techniques and neural network | cs.CV | In modern times, face recognition has become one of the key aspects of
computer vision. There are at least two reasons for this trend; the first is
the commercial and law enforcement applications, and the second is the
availability of feasible technologies after years of research. Due to the very
nature of the problem,... | computer science |
23,740 | Computationally Efficient Implementation of Convolution-based Locally
Adaptive Binarization Techniques | cs.CV | One of the most important steps of document image processing is binarization.
The computational requirements of locally adaptive binarization techniques make
them unsuitable for devices with limited computing facilities. In this paper,
we have presented a computationally efficient implementation of convolution
based lo... | computer science |
23,741 | Enhanced Compressed Sensing Recovery with Level Set Normals | cs.CV | We propose a compressive sensing algorithm that exploits geometric properties
of images to recover images of high quality from few measurements. The image
reconstruction is done by iterating the two following steps: 1) estimation of
normal vectors of the image level curves and 2) reconstruction of an image
fitting the ... | computer science |
23,742 | A polygon-based interpolation operator for super-resolution imaging | cs.CV | We outline the super-resolution reconstruction problem posed as a
maximization of probability. We then introduce an interpolation method based on
polygonal pixel overlap, express it as a linear operator, and use it to improve
reconstruction. Polygon interpolation outperforms the simpler bilinear
interpolation operator ... | computer science |
23,743 | Image Processing using Smooth Ordering of its Patches | cs.CV | We propose an image processing scheme based on reordering of its patches. For
a given corrupted image, we extract all patches with overlaps, refer to these
as coordinates in high-dimensional space, and order them such that they are
chained in the "shortest possible path", essentially solving the traveling
salesman prob... | computer science |
23,744 | DBN-Based Combinatorial Resampling for Articulated Object Tracking | cs.CV | Particle Filter is an effective solution to track objects in video sequences
in complex situations. Its key idea is to estimate the density over the
possible states of the object using a weighted sample whose elements are called
particles. One of its crucial step is a resampling step in which particles are
resampled to... | computer science |
23,745 | Identifications of concealed weapon in a Human Body | cs.CV | The detection of weapons concealed underneath a person cloths is very much
important to the improvement of the security of the public as well as the
safety of public assets like airports, buildings and railway stations etc. | computer science |
23,746 | Developing ICC Profile Using Gray Level Control In Offset Printing
Process | cs.CV | In prepress department RGB image has to be converted to CMYK image. To
control that amount of black, cyan, magenta and yellow has to be controlled by
using color separation method. Graycolor separation method is selected to
control the amounts of these colors because it increase the quality of printing
also. A single p... | computer science |
23,747 | Novel Architecture for 3D model in virtual communities from detected
face | cs.CV | In this research paper we suggest how to extract a face from an image, modify
it, characterize it in terms of high-level properties, and apply it to the
creation of a personalized avatar. In this research work we tested, we
implemented the algorithm on several hundred facial images, including many
taken under uncontrol... | computer science |
23,748 | Computer vision tools for the non-invasive assessment of autism-related
behavioral markers | cs.CV | The early detection of developmental disorders is key to child outcome,
allowing interventions to be initiated that promote development and improve
prognosis. Research on autism spectrum disorder (ASD) suggests behavioral
markers can be observed late in the first year of life. Many of these studies
involved extensive f... | computer science |
23,749 | 3D Face Recognition using Significant Point based SULD Descriptor | cs.CV | In this work, we present a new 3D face recognition method based on Speeded-Up
Local Descriptor (SULD) of significant points extracted from the range images
of faces. The proposed model consists of a method for extracting distinctive
invariant features from range images of faces that can be used to perform
reliable matc... | computer science |
23,750 | Resolution Enhancement of Range Images via Color-Image Segmentation | cs.CV | We report a method for super-resolution of range images. Our approach
leverages the interpretation of LR image as sparse samples on the HR grid.
Based on this interpretation, we demonstrate that our recently reported
approach, which reconstructs dense range images from sparse range data by
exploiting a registered colou... | computer science |
23,751 | The fortresses of Ejin: an example of outlining a site from satellite
images | cs.CV | From 1960's to 1970's, the Chinese Army built some fortified artificial
hills. Some of them are located in the Inner Mongolia, Western China. These
large fortresses are surrounded by moats. For some of them it is still possible
to see earthworks, trenches and ditches, the planning of which could have a
symbolic meaning... | computer science |
23,752 | Performance Evaluation of Different Techniques for texture
Classification | cs.CV | Texture is the term used to characterize the surface of a given object or
phenomenon and is an important feature used in image processing and pattern
recognition. Our aim is to compare various Texture analyzing methods and
compare the results based on time complexity and accuracy of classification.
The project describe... | computer science |
23,753 | On the Relation Between the Common Labelling and the Median Graph | cs.CV | In structural pattern recognition, given a set of graphs, the computation of
a Generalized Median Graph is a well known problem. Some methods approach the
problem by assuming a relation between the Generalized Median Graph and the
Common Labelling problem. However, this relation has still not been formally
proved. In t... | computer science |
23,754 | Circle detection using electro-magnetism optimization | cs.CV | This paper describes a circle detection method based on Electromagnetism-Like
Optimization (EMO). Circle detection has received considerable attention over
the last years thanks to its relevance for many computer vision tasks. EMO is a
heuristic method for solving complex optimization problems inspired in
electromagnet... | computer science |
23,755 | Combined Approach for Image Segmentation | cs.CV | Many image segmentation techniques have been developed over the past two
decades for segmenting the images, which help for object recognition, occlusion
boundary estimation within motion or stereo systems, image compression, image
editing.
In this, there is a combined approach for segmenting the image. By using
histo... | computer science |
23,756 | Seeing the Big Picture: Deep Embedding with Contextual Evidences | cs.CV | In the Bag-of-Words (BoW) model based image retrieval task, the precision of
visual matching plays a critical role in improving retrieval performance.
Conventionally, local cues of a keypoint are employed. However, such strategy
does not consider the contextual evidences of a keypoint, a problem which would
lead to the... | computer science |
23,757 | Ambiguous Proximity Distribution | cs.CV | Proximity Distribution Kernel is an effective method for bag-of-featues based
image representation. In this paper, we investigate the soft assignment of
visual words to image features for proximity distribution. Visual word
contribution function is proposed to model ambiguous proximity distributions.
Three ambiguous pr... | computer science |
23,758 | Continuous Action Recognition Based on Sequence Alignment | cs.CV | Continuous action recognition is more challenging than isolated recognition
because classification and segmentation must be simultaneously carried out. We
build on the well known dynamic time warping (DTW) framework and devise a novel
visual alignment technique, namely dynamic frame warping (DFW), which performs
isolat... | computer science |
23,759 | The constitution of visual perceptual units in the functional
architecture of V1 | cs.CV | Scope of this paper is to consider a mean field neural model which takes into
account the functional neurogeometry of the visual cortex modelled as a group
of rotations and translations. The model generalizes well known results of
Bressloff and Cowan which, in absence of input, accounts for hallucination
patterns. The ... | computer science |
23,760 | Generalized Max Pooling | cs.CV | State-of-the-art patch-based image representations involve a pooling
operation that aggregates statistics computed from local descriptors. Standard
pooling operations include sum- and max-pooling. Sum-pooling lacks
discriminability because the resulting representation is strongly influenced by
frequent yet often uninfo... | computer science |
23,761 | Image retrieval with hierarchical matching pursuit | cs.CV | A novel representation of images for image retrieval is introduced in this
paper, by using a new type of feature with remarkable discriminative power.
Despite the multi-scale nature of objects, most existing models perform feature
extraction on a fixed scale, which will inevitably degrade the performance of
the whole s... | computer science |
23,762 | Visual Reranking with Improved Image Graph | cs.CV | This paper introduces an improved reranking method for the Bag-of-Words (BoW)
based image search. Built on [1], a directed image graph robust to outlier
distraction is proposed. In our approach, the relevance among images is encoded
in the image graph, based on which the initial rank list is refined. Moreover,
we show ... | computer science |
23,763 | Improvement Tracking Dynamic Programming using Replication Function for
Continuous Sign Language Recognition | cs.CV | In this paper we used a Replication Function (R. F.)for improvement tracking
with dynamic programming. The R. F. transforms values of gray level [0 255] to
[0 1]. The resulting images of R. F. are more striking and visible in skin
regions. The R. F. improves Dynamic Programming (D. P.) in overlapping hand and
face. Res... | computer science |
23,764 | Multiscale Fields of Patterns | cs.CV | We describe a framework for defining high-order image models that can be used
in a variety of applications. The approach involves modeling local patterns in
a multiscale representation of an image. Local properties of a coarsened image
reflect non-local properties of the original image. In the case of binary
images loc... | computer science |
23,765 | Beyond $χ^2$ Difference: Learning Optimal Metric for Boundary
Detection | cs.CV | This letter focuses on solving the challenging problem of detecting natural
image boundaries. A boundary usually refers to the border between two regions
with different semantic meanings. Therefore, a measurement of dissimilarity
between image regions plays a pivotal role in boundary detection of natural
images. To imp... | computer science |
23,766 | Local Decorrelation For Improved Detection | cs.CV | Even with the advent of more sophisticated, data-hungry methods, boosted
decision trees remain extraordinarily successful for fast rigid object
detection, achieving top accuracy on numerous datasets. While effective, most
boosted detectors use decision trees with orthogonal (single feature) splits,
and the topology of ... | computer science |
23,767 | Shared Representation Learning for Heterogeneous Face Recognition | cs.CV | After intensive research, heterogenous face recognition is still a
challenging problem. The main difficulties are owing to the complex
relationship between heterogenous face image spaces. The heterogeneity is
always tightly coupled with other variations, which makes the relationship of
heterogenous face images highly n... | computer science |
23,768 | A Context-aware Delayed Agglomeration Framework for Electron Microscopy
Segmentation | cs.CV | Electron Microscopy (EM) image (or volume) segmentation has become
significantly important in recent years as an instrument for connectomics. This
paper proposes a novel agglomerative framework for EM segmentation. In
particular, given an over-segmented image or volume, we propose a novel
framework for accurately clust... | computer science |
23,769 | Small Sample Learning of Superpixel Classifiers for EM Segmentation-
Extended Version | cs.CV | Pixel and superpixel classifiers have become essential tools for EM
segmentation algorithms. Training these classifiers remains a major bottleneck
primarily due to the requirement of completely annotating the dataset which is
tedious, error-prone and costly. In this paper, we propose an interactive
learning scheme for ... | computer science |
23,770 | Fine-grained Activity Recognition with Holistic and Pose based Features | cs.CV | Holistic methods based on dense trajectories are currently the de facto
standard for recognition of human activities in video. Whether holistic
representations will sustain or will be superseded by higher level video
encoding in terms of body pose and motion is the subject of an ongoing debate.
In this paper we aim to ... | computer science |
23,771 | Refinement-Cut: User-Guided Segmentation Algorithm for Translational
Science | cs.CV | In this contribution, a semi-automatic segmentation algorithm for (medical)
image analysis is presented. More precise, the approach belongs to the category
of interactive contouring algorithms, which provide real-time feedback of the
segmentation result. However, even with interactive real-time contouring
approaches th... | computer science |
23,772 | Shape-from-intrinsic operator | cs.CV | Shape-from-X is an important class of problems in the fields of geometry
processing, computer graphics, and vision, attempting to recover the structure
of a shape from some observations. In this paper, we formulate the problem of
shape-from-operator (SfO), recovering an embedding of a mesh from intrinsic
differential o... | computer science |
23,773 | Structured Dictionary Learning for Classification | cs.CV | Sparsity driven signal processing has gained tremendous popularity in the
last decade. At its core, the assumption is that the signal of interest is
sparse with respect to either a fixed transformation or a signal dependent
dictionary. To better capture the data characteristics, various dictionary
learning methods have... | computer science |
23,774 | Detect What You Can: Detecting and Representing Objects using Holistic
Models and Body Parts | cs.CV | Detecting objects becomes difficult when we need to deal with large shape
deformation, occlusion and low resolution. We propose a novel approach to i)
handle large deformations and partial occlusions in animals (as examples of
highly deformable objects), ii) describe them in terms of body parts, and iii)
detect them wh... | computer science |
23,775 | Log-Euclidean Bag of Words for Human Action Recognition | cs.CV | Representing videos by densely extracted local space-time features has
recently become a popular approach for analysing actions. In this paper, we
tackle the problem of categorising human actions by devising Bag of Words (BoW)
models based on covariance matrices of spatio-temporal features, with the
features formed fro... | computer science |
23,776 | Two-Stream Convolutional Networks for Action Recognition in Videos | cs.CV | We investigate architectures of discriminatively trained deep Convolutional
Networks (ConvNets) for action recognition in video. The challenge is to
capture the complementary information on appearance from still frames and
motion between frames. We also aim to generalise the best performing
hand-crafted features within... | computer science |
23,777 | Synthetic Data and Artificial Neural Networks for Natural Scene Text
Recognition | cs.CV | In this work we present a framework for the recognition of natural scene
text. Our framework does not require any human-labelled data, and performs word
recognition on the whole image holistically, departing from the character based
recognition systems of the past. The deep neural network models at the centre
of this f... | computer science |
23,778 | Robust Estimation of 3D Human Poses from a Single Image | cs.CV | Human pose estimation is a key step to action recognition. We propose a
method of estimating 3D human poses from a single image, which works in
conjunction with an existing 2D pose/joint detector. 3D pose estimation is
challenging because multiple 3D poses may correspond to the same 2D pose after
projection due to the ... | computer science |
23,779 | Depth Map Prediction from a Single Image using a Multi-Scale Deep
Network | cs.CV | Predicting depth is an essential component in understanding the 3D geometry
of a scene. While for stereo images local correspondence suffices for
estimation, finding depth relations from a single image is less
straightforward, requiring integration of both global and local information
from various cues. Moreover, the t... | computer science |
23,780 | Parsing Semantic Parts of Cars Using Graphical Models and Segment
Appearance Consistency | cs.CV | This paper addresses the problem of semantic part parsing (segmentation) of
cars, i.e.assigning every pixel within the car to one of the parts (e.g.body,
window, lights, license plates and wheels). We formulate this as a landmark
identification problem, where a set of landmarks specifies the boundaries of
the parts. A ... | computer science |
23,781 | Optimization Methods for Convolutional Sparse Coding | cs.CV | Sparse and convolutional constraints form a natural prior for many
optimization problems that arise from physical processes. Detecting motifs in
speech and musical passages, super-resolving images, compressing videos, and
reconstructing harmonic motions can all leverage redundancies introduced by
convolution. Solving p... | computer science |
23,782 | The Secrets of Salient Object Segmentation | cs.CV | In this paper we provide an extensive evaluation of fixation prediction and
salient object segmentation algorithms as well as statistics of major datasets.
Our analysis identifies serious design flaws of existing salient object
benchmarks, called the dataset design bias, by over emphasizing the
stereotypical concepts o... | computer science |
23,783 | Bird Species Categorization Using Pose Normalized Deep Convolutional
Nets | cs.CV | We propose an architecture for fine-grained visual categorization that
approaches expert human performance in the classification of bird species. Our
architecture first computes an estimate of the object's pose; this is used to
compute local image features which are, in turn, used for classification. The
features are c... | computer science |
23,784 | Joint Training of a Convolutional Network and a Graphical Model for
Human Pose Estimation | cs.CV | This paper proposes a new hybrid architecture that consists of a deep
Convolutional Network and a Markov Random Field. We show how this architecture
is successfully applied to the challenging problem of articulated human pose
estimation in monocular images. The architecture can exploit structural domain
constraints suc... | computer science |
23,785 | Fingers' Angle Calculation using Level-Set Method | cs.CV | In the current age, use of natural communication in human computer
interaction is a known and well installed thought. Hand gesture recognition and
gesture based applications has gained a significant amount of popularity
amongst people all over the world. It has a number of applications ranging from
security to entertai... | computer science |
23,786 | Human-Machine CRFs for Identifying Bottlenecks in Holistic Scene
Understanding | cs.CV | Recent trends in image understanding have pushed for holistic scene
understanding models that jointly reason about various tasks such as object
detection, scene recognition, shape analysis, contextual reasoning, and local
appearance based classifiers. In this work, we are interested in understanding
the roles of these ... | computer science |
23,787 | A Fusion of Labeled-Grid Shape Descriptors with Weighted Ranking
Algorithm for Shapes Recognition | cs.CV | Retrieving similar images from a large dataset based on the image content has
been a very active research area and is a very challenging task. Studies have
shown that retrieving similar images based on their shape is a very effective
method. For this purpose a large number of methods exist in literature. The
combinatio... | computer science |
23,788 | Impact of Exponent Parameter Value for the Partition Matrix on the
Performance of Fuzzy C Means Algorithm | cs.CV | Soft Clustering plays a very important rule on clustering real world data
where a data item contributes to more than one cluster. Fuzzy logic based
algorithms are always suitable for performing soft clustering tasks. Fuzzy C
Means (FCM) algorithm is a very popular fuzzy logic based algorithm. In case of
fuzzy logic bas... | computer science |
23,789 | Person Re-identification by Local Maximal Occurrence Representation and
Metric Learning | cs.CV | Person re-identification is an important technique towards automatic search
of a person's presence in a surveillance video. Two fundamental problems are
critical for person re-identification, feature representation and metric
learning. An effective feature representation should be robust to illumination
and viewpoint c... | computer science |
23,790 | Block matching algorithm based on Harmony Search optimization for motion
estimation | cs.CV | Motion estimation is one of the major problems in developing video coding
applications. Among all motion estimation approaches, Block-matching (BM)
algorithms are the most popular methods due to their effectiveness and
simplicity for both software and hardware implementations. A BM approach
assumes that the movement of... | computer science |
23,791 | Spatial Pyramid Pooling in Deep Convolutional Networks for Visual
Recognition | cs.CV | Existing deep convolutional neural networks (CNNs) require a fixed-size
(e.g., 224x224) input image. This requirement is "artificial" and may reduce
the recognition accuracy for the images or sub-images of an arbitrary
size/scale. In this work, we equip the networks with another pooling strategy,
"spatial pyramid pooli... | computer science |
23,792 | Mass Classification Method in Mammogram Using Fuzzy K-Nearest Neighbour
Equality | cs.CV | Mass classification of objects is an important area of research and
application in a variety of fields. In this paper, we present an efficient
computer aided mass classification method in digitized mammograms using Fuzzy
K-Nearest Neighbor Equality, which performs benign or malignant classification
on region of interes... | computer science |
23,793 | Deep Learning Face Representation by Joint Identification-Verification | cs.CV | The key challenge of face recognition is to develop effective feature
representations for reducing intra-personal variations while enlarging
inter-personal differences. In this paper, we show that it can be well solved
with deep learning and using both face identification and verification signals
as supervision. The De... | computer science |
23,794 | Computer Vision Approach for Low Cost, High Precision Measurement of
Grapevine Trunk Diameter in Outdoor Conditions | cs.CV | Trunk diameter is a variable of agricultural interest, used mainly in the
prediction of fruit trees production. It is correlated with leaf area and
biomass of trees, and consequently gives a good estimate of the potential
production of the plants. This work presents a low cost, high precision method
for the measurement... | computer science |
23,795 | Why are images smooth? | cs.CV | It is a well observed phenomenon that natural images are smooth, in the sense
that nearby pixels tend to have similar values. We describe a mathematical
model of images that makes no assumptions on the nature of the environment that
images depict. It only assumes that images can be taken at different scales
(zoom level... | computer science |
23,796 | Robust Outlier Detection Technique in Data Mining: A Univariate Approach | cs.CV | Outliers are the points which are different from or inconsistent with the
rest of the data. They can be novel, new, abnormal, unusual or noisy
information. Outliers are sometimes more interesting than the majority of the
data. The main challenges of outlier detection with the increasing complexity,
size and variety of ... | computer science |
23,797 | MRF-based Background Initialisation for Improved Foreground Detection in
Cluttered Surveillance Videos | cs.CV | Robust foreground object segmentation via background modelling is a difficult
problem in cluttered environments, where obtaining a clear view of the
background to model is almost impossible. In this paper, we propose a method
capable of robustly estimating the background and detecting regions of interest
in such enviro... | computer science |
23,798 | R-CNNs for Pose Estimation and Action Detection | cs.CV | We present convolutional neural networks for the tasks of keypoint (pose)
prediction and action classification of people in unconstrained images. Our
approach involves training an R-CNN detector with loss functions depending on
the task being tackled. We evaluate our method on the challenging PASCAL VOC
dataset and com... | computer science |
23,799 | Web-Scale Training for Face Identification | cs.CV | Scaling machine learning methods to very large datasets has attracted
considerable attention in recent years, thanks to easy access to ubiquitous
sensing and data from the web. We study face recognition and show that three
distinct properties have surprising effects on the transferability of deep
convolutional networks... | computer science |
23,800 | Early Recognition of Human Activities from First-Person Videos Using
Onset Representations | cs.CV | In this paper, we propose a methodology for early recognition of human
activities from videos taken with a first-person viewpoint. Early recognition,
which is also known as activity prediction, is an ability to infer an ongoing
activity at its early stage. We present an algorithm to perform recognition of
activities ta... | computer science |
23,801 | Predicting Motivations of Actions by Leveraging Text | cs.CV | Understanding human actions is a key problem in computer vision. However,
recognizing actions is only the first step of understanding what a person is
doing. In this paper, we introduce the problem of predicting why a person has
performed an action in images. This problem has many applications in human
activity underst... | computer science |
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