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39,010 | Metric Localization using Google Street View | cs.RO | Accurate metrical localization is one of the central challenges in mobile
robotics. Many existing methods aim at localizing after building a map with the
robot. In this paper, we present a novel approach that instead uses geotagged
panoramas from the Google Street View as a source of global positioning. We
model the pr... | computer science |
39,011 | Towards radio astronomical imaging using an arbitrary basis | cs.CV | The new generation of radio telescopes, such as the Square Kilometer Array
(SKA), requires dramatic advances in computer hardware and software, in order
to process the large amounts of produced data efficiently. In this document, we
explore a new approach to wide-field imaging. By generalizing the image
reconstruction,... | computer science |
39,012 | Phase and TV Based Convex Sets for Blind Deconvolution of Microscopic
Images | math.OC | In this article, two closed and convex sets for blind deconvolution problem
are proposed. Most blurring functions in microscopy are symmetric with respect
to the origin. Therefore, they do not modify the phase of the Fourier transform
(FT) of the original image. As a result blurred image and the original image
have the... | computer science |
39,013 | A Comparative Analysis of Tensor Decomposition Models Using Hyper
Spectral Image | cs.NA | Hyper spectral imaging is a remote sensing technology, providing variety of
applications such as material identification, space object identification,
planetary exploitation etc. It deals with capturing continuum of images of the
earth surface from different angles. Due to the multidimensional nature of the
image, mult... | computer science |
39,014 | Non-contact transmittance photoplethysmographic imaging (PPGI) for
long-distance cardiovascular monitoring | cs.CV | Photoplethysmography (PPG) devices are widely used for monitoring
cardiovascular function. However, these devices require skin contact, which
restrict their use to at-rest short-term monitoring using single-point
measurements. Photoplethysmographic imaging (PPGI) has been recently proposed
as a non-contact monitoring a... | computer science |
39,015 | Fast keypoint detection in video sequences | cs.CV | A number of computer vision tasks exploit a succinct representation of the
visual content in the form of sets of local features. Given an input image,
feature extraction algorithms identify a set of keypoints and assign to each of
them a description vector, based on the characteristics of the visual content
surrounding... | computer science |
39,016 | Content-Based Bird Retrieval using Shape context, Color moments and Bag
of Features | cs.CV | In this paper we propose a new descriptor for birds search. First, our work
was carried on the choice of a descriptor. This choice is usually driven by the
application requirements such as robustness to noise, stability with respect to
bias, the invariance to geometrical transformations or tolerance to occlusions.
In t... | computer science |
39,017 | Real-time multi-view deconvolution | cs.CV | In light-sheet microscopy, overall image content and resolution are improved
by acquiring and fusing multiple views of the sample from different directions.
State-of-the-art multi-view (MV) deconvolution employs the point spread
functions (PSF) of the different views to simultaneously fuse and deconvolve
the images in ... | computer science |
39,018 | Monge's Optimal Transport Distance with Applications for Nearest
Neighbour Image Classification | cs.CV | This paper focuses on a similarity measure, known as the Wasserstein
distance, with which to compare images. The Wasserstein distance results from a
partial differential equation (PDE) formulation of Monge's optimal transport
problem. We present an efficient numerical solution method for solving Monge's
problem. To dem... | computer science |
39,019 | Flight Dynamics-based Recovery of a UAV Trajectory using Ground Cameras | cs.CV | We propose a new method to estimate the 6-dof trajectory of a flying object
such as a quadrotor UAV within a 3D airspace monitored using multiple fixed
ground cameras. It is based on a new structure from motion formulation for the
3D reconstruction of a single moving point with known motion dynamics. Our main
contribut... | computer science |
39,020 | Global Minimum for a Finsler Elastica Minimal Path Approach | cs.CG | In this paper, we propose a novel curvature-penalized minimal path model via
an orientation-lifted Finsler metric and the Euler elastica curve. The original
minimal path model computes the globally minimal geodesic by solving an Eikonal
partial differential equation (PDE). Essentially, this first-order model is
unable ... | computer science |
39,021 | A Visual Representation for Editing Face Images | cs.CV | We propose a new approach for editing face images, which enables numerous
exciting applications including face relighting, makeup transfer and face
detail editing. Our face edits are based on a visual representation, which
includes geometry, face segmentation, albedo, illumination and detail map. To
recover our visual ... | computer science |
39,022 | Photorealistic Facial Texture Inference Using Deep Neural Networks | cs.CV | We present a data-driven inference method that can synthesize a
photorealistic texture map of a complete 3D face model given a partial 2D view
of a person in the wild. After an initial estimation of shape and low-frequency
albedo, we compute a high-frequency partial texture map, without the shading
component, of the vi... | computer science |
39,023 | Mining Spatio-temporal Data on Industrialization from Historical
Registries | cs.CV | Despite the growing availability of big data in many fields, historical data
on socioevironmental phenomena are often not available due to a lack of
automated and scalable approaches for collecting, digitizing, and assembling
them. We have developed a data-mining method for extracting tabulated, geocoded
data from prin... | computer science |
39,024 | A Distance Function for Comparing Straight-Edge Geometric Figures | cs.CV | This paper defines a distance function that measures the dissimilarity
between planar geometric figures formed with straight lines. This function can
in turn be used in partial matching of different geometric figures. For a given
pair of geometric figures that are graphically isomorphic, one function
measures the angul... | computer science |
39,025 | Binary Subspace Coding for Query-by-Image Video Retrieval | cs.MM | The query-by-image video retrieval (QBIVR) task has been attracting
considerable research attention recently. However, most existing methods
represent a video by either aggregating or projecting all its frames into a
single datum point, which may easily cause severe information loss. In this
paper, we propose an effici... | computer science |
39,026 | Revisiting Winner Take All (WTA) Hashing for Sparse Datasets | cs.CV | WTA (Winner Take All) hashing has been successfully applied in many large
scale vision applications. This hashing scheme was tailored to take advantage
of the comparative reasoning (or order based information), which showed
significant accuracy improvements. In this paper, we identify a subtle issue
with WTA, which gro... | computer science |
39,027 | Discrete Schroedinger Transform For Texture Recognition | cs.CV | This work presents a new procedure to extract features of grey-level texture
images based on the discrete Schroedinger transform. This is a non-linear
transform where the image is mapped as the initial probability distribution of
a wave function and such distribution evolves in time following the
Schroedinger equation ... | computer science |
39,028 | 3D Shape Segmentation with Projective Convolutional Networks | cs.CV | This paper introduces a deep architecture for segmenting 3D objects into
their labeled semantic parts. Our architecture combines image-based Fully
Convolutional Networks (FCNs) and surface-based Conditional Random Fields
(CRFs) to yield coherent segmentations of 3D shapes. The image-based FCNs are
used for efficient vi... | computer science |
39,029 | Automatic Model Based Dataset Generation for Fast and Accurate Crop and
Weeds Detection | cs.CV | Selective weeding is one of the key challenges in the field of agriculture
robotics. To accomplish this task, a farm robot should be able to accurately
detect plants and to distinguish them between crop and weeds. Most of the
promising state-of-the-art approaches make use of appearance-based models
trained on large ann... | computer science |
39,030 | A probabilistic graphical model approach in 30 m land cover mapping with
multiple data sources | stat.AP | There is a trend to acquire high accuracy land-cover maps using multi-source
classification methods, most of which are based on data fusion, especially
pixel- or feature-level fusions. A probabilistic graphical model (PGM) approach
is proposed in this research for 30 m resolution land-cover mapping with
multi-temporal ... | computer science |
39,031 | Statistics of Visual Responses to Object Stimuli from Primate AIT
Neurons to DNN Neurons | cs.CV | Cadieu et al. (Cadieu,2014) reported that deep neural networks(DNNs) could
rival the representation of primate inferotemporal cortex for object
recognition. Lehky et al. (Lehky,2011) provided a statistical analysis on
neural responses to object stimuli in primate AIT cortex. They found the
intrinsic dimensionality of o... | computer science |
39,032 | Autoencoder-based holographic image restoration | cs.CV | We propose a holographic image restoration method using an autoencoder, which
is an artificial neural network. Because holographic reconstructed images are
often contaminated by direct light, conjugate light, and speckle noise, the
discrimination of reconstructed images may be difficult. In this paper, we
demonstrate t... | computer science |
39,033 | Efficient phase retrieval based on dark fringe recognition with an
ability of bypassing invalid fringes | cs.CV | This paper discusses the noisy phase retrieval problem: recovering a complex
image signal with independent noise from quadratic measurements. Inspired by
the dark fringes shown in the measured images of the array detector, a novel
phase retrieval approach is proposed and demonstrated both theoretically and
experimental... | computer science |
39,034 | Beam Search for Learning a Deep Convolutional Neural Network of 3D
Shapes | cs.CV | This paper addresses 3D shape recognition. Recent work typically represents a
3D shape as a set of binary variables corresponding to 3D voxels of a uniform
3D grid centered on the shape, and resorts to deep convolutional neural
networks(CNNs) for modeling these binary variables. Robust learning of such
CNNs is currentl... | computer science |
39,035 | Cloud Dictionary: Sparse Coding and Modeling for Point Clouds | cs.CV | With the development of range sensors such as LIDAR and time-of-flight
cameras, 3D point cloud scans have become ubiquitous in computer vision
applications, the most prominent ones being gesture recognition and autonomous
driving. Parsimony-based algorithms have shown great success on images and
videos where data point... | computer science |
39,036 | A Stochastic Large Deformation Model for Computational Anatomy | cs.CV | In the study of shapes of human organs using computational anatomy,
variations are found to arise from inter-subject anatomical differences,
disease-specific effects, and measurement noise. This paper introduces a
stochastic model for incorporating random variations into the Large Deformation
Diffeomorphic Metric Mappi... | computer science |
39,037 | Mirrored Light Field Video Camera Adapter | cs.RO | This paper proposes the design of a custom mirror-based light field camera
adapter that is cheap, simple in construction, and accessible. Mirrors of
different shape and orientation reflect the scene into an upwards-facing camera
to create an array of virtual cameras with overlapping field of view at
specified depths, a... | computer science |
39,038 | A Message Passing Algorithm for the Minimum Cost Multicut Problem | cs.DS | We propose a dual decomposition and linear program relaxation of the NP -hard
minimum cost multicut problem. Unlike other polyhedral relaxations of the
multicut polytope, it is amenable to efficient optimization by message passing.
Like other polyhedral elaxations, it can be tightened efficiently by cutting
planes. We ... | computer science |
39,039 | A Dual Ascent Framework for Lagrangean Decomposition of Combinatorial
Problems | cs.DS | We propose a general dual ascent framework for Lagrangean decomposition of
combinatorial problems. Although methods of this type have shown their
efficiency for a number of problems, so far there was no general algorithm
applicable to multiple problem types. In his work, we propose such a general
algorithm. It depends ... | computer science |
39,040 | Crowd collectiveness measure via graph-based node clique learning | cs.CV | Collectiveness motions of crowd systems have attracted a great deal of
attentions in recently years. In this paper, we try to measure the
collectiveness of a crowd system by the proposed node clique learning method.
The proposed method is a graph based method, and investigates the influence
from one node to other nodes... | computer science |
39,041 | Detecting Unexpected Obstacles for Self-Driving Cars: Fusing Deep
Learning and Geometric Modeling | cs.CV | The detection of small road hazards, such as lost cargo, is a vital
capability for self-driving cars. We tackle this challenging and rarely
addressed problem with a vision system that leverages appearance, contextual as
well as geometric cues. To utilize the appearance and contextual cues, we
propose a new deep learnin... | computer science |
39,042 | Unsupervised Perceptual Rewards for Imitation Learning | cs.CV | Reward function design and exploration time are arguably the biggest
obstacles to the deployment of reinforcement learning (RL) agents in the real
world. In many real-world tasks, designing a reward function takes considerable
hand engineering and often requires additional sensors to be installed just to
measure whethe... | computer science |
39,043 | Stochastic Multidimensional Scaling | math.OC | Multidimensional scaling (MDS) is a popular dimensionality reduction
techniques that has been widely used for network visualization and cooperative
localization. However, the traditional stress minimization formulation of MDS
necessitates the use of batch optimization algorithms that are not scalable to
large-sized pro... | computer science |
39,044 | Imaging around corners with single-pixel detector by computational ghost
imaging | cs.CV | We have designed a single-pixel camera with imaging around corners based on
computational ghost imaging. It can obtain the image of an object when the
camera cannot look at the object directly. Our imaging system explores the fact
that a bucket detector in a ghost imaging setup has no spatial resolution
capability. A s... | computer science |
39,045 | Efficient Action Detection in Untrimmed Videos via Multi-Task Learning | cs.CV | This paper studies the joint learning of action recognition and temporal
localization in long, untrimmed videos. We employ a multi-task learning
framework that performs the three highly related steps of action proposal,
action recognition, and action localization refinement in parallel instead of
the standard sequentia... | computer science |
39,046 | MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving | cs.CV | While most approaches to semantic reasoning have focused on improving
performance, in this paper we argue that computational times are very important
in order to enable real time applications such as autonomous driving. Towards
this goal, we present an approach to joint classification, detection and
semantic segmentati... | computer science |
39,047 | Probabilistic graphical model based approach for water mapping using
GaoFen-2 (GF-2) high resolution imagery and Landsat 8 time series | stat.AP | The objective of this paper is to evaluate the potential of Gaofen-2 (GF-2)
high resolution multispectral sensor (MS) and panchromatic (PAN) imagery on
water mapping. Difficulties of water mapping on high resolution data includes:
1) misclassification between water and shadows or other low-reflectance ground
objects, w... | computer science |
39,048 | EgoReID: Cross-view Self-Identification and Human Re-identification in
Egocentric and Surveillance Videos | cs.CV | Human identification remains to be one of the challenging tasks in computer
vision community due to drastic changes in visual features across different
viewpoints, lighting conditions, occlusion, etc. Most of the literature has
been focused on exploring human re-identification across viewpoints that are
not too drastic... | computer science |
39,049 | Joint denoising and distortion correction of atomic scale scanning
transmission electron microscopy images | cs.CV | Nowadays, modern electron microscopes deliver images at atomic scale. The
precise atomic structure encodes information about material properties. Thus,
an important ingredient in the image analysis is to locate the centers of the
atoms shown in micrographs as precisely as possible. Here, we consider scanning
transmissi... | computer science |
39,050 | Bayesian Nonparametric Models for Synchronous Brain-Computer Interfaces | cs.CV | A brain-computer interface (BCI) is a system that aims for establishing a
non-muscular communication path for subjects who had suffer from a
neurodegenerative disease. Many BCI systems make use of the phenomena of
event-related synchronization and de-synchronization of brain waves as a main
feature for classification o... | computer science |
39,051 | Semantic Perceptual Image Compression using Deep Convolution Networks | cs.MM | It has long been considered a significant problem to improve the visual
quality of lossy image and video compression. Recent advances in computing
power together with the availability of large training data sets has increased
interest in the application of deep learning cnns to address image recognition
and image proce... | computer science |
39,052 | An FFT-based Synchronization Approach to Recognize Human Behaviors using
STN-LFP Signal | cs.CV | Classification of human behavior is key to developing closed-loop Deep Brain
Stimulation (DBS) systems, which may be able to decrease the power consumption
and side effects of the existing systems. Recent studies have shown that the
Local Field Potential (LFP) signals from both Subthalamic Nuclei (STN) of the
brain can... | computer science |
39,053 | Fast color transfer from multiple images | cs.CV | Color transfer between images uses the statistics information of image
effectively. We present a novel approach of local color transfer between images
based on the simple statistics and locally linear embedding. A sketching
interface is proposed for quickly and easily specifying the color
correspondences between target... | computer science |
39,054 | Automatic labeling of molecular biomarkers of whole slide
immunohistochemistry images using fully convolutional networks | cs.CV | This paper addresses the problem of quantifying biomarkers in multi-stained
tissues, based on color and spatial information. A deep learning based method
that can automatically localize and quantify the cells expressing biomarker(s)
in a whole slide image is proposed. The deep learning network is a fully
convolutional ... | computer science |
39,055 | Memory Efficient Multi-Scale Line Detector Architecture for Retinal
Blood Vessel Segmentation | cs.CV | This paper presents a memory efficient architecture that implements the
Multi-Scale Line Detector (MSLD) algorithm for real-time retinal blood vessel
detection in fundus images on a Zynq FPGA. This implementation benefits from
the FPGA parallelism to drastically reduce the memory requirements of the MSLD
from two image... | computer science |
39,056 | Rough Sets Computations to Impute Missing Data | cs.CV | Many techniques for handling missing data have been proposed in the
literature. Most of these techniques are overly complex. This paper explores an
imputation technique based on rough set computations. In this paper,
characteristic relations are introduced to describe incompletely specified
decision tables.It is shown ... | computer science |
39,057 | Addendum to Research MMMCV; A Man/Microbio/Megabio/Computer Vision | cs.CV | In October 2007, a Research Proposal for the University of Sydney, Australia,
the author suggested that biovie-physical phenomenon as `electrodynamic
dependant biological vision', is governed by relativistic quantum laws and
biovision. The phenomenon on the basis of `biovielectroluminescence', satisfies
man/microbio/me... | computer science |
39,058 | Securing Interactive Sessions Using Mobile Device through Visual Channel
and Visual Inspection | cs.CR | Communication channel established from a display to a device's camera is
known as visual channel, and it is helpful in securing key exchange protocol.
In this paper, we study how visual channel can be exploited by a network
terminal and mobile device to jointly verify information in an interactive
session, and how such... | computer science |
39,059 | Secured Cryptographic Key Generation From Multimodal Biometrics: Feature
Level Fusion of Fingerprint and Iris | cs.CR | Human users have a tough time remembering long cryptographic keys. Hence,
researchers, for so long, have been examining ways to utilize biometric
features of the user instead of a memorable password or passphrase, in an
effort to generate strong and repeatable cryptographic keys. Our objective is
to incorporate the vol... | computer science |
39,060 | On MMSE and MAP Denoising Under Sparse Representation Modeling Over a
Unitary Dictionary | cs.CV | Among the many ways to model signals, a recent approach that draws
considerable attention is sparse representation modeling. In this model, the
signal is assumed to be generated as a random linear combination of a few atoms
from a pre-specified dictionary. In this work we analyze two Bayesian denoising
algorithms -- th... | computer science |
39,061 | The Projected GSURE for Automatic Parameter Tuning in Iterative
Shrinkage Methods | cs.CV | Linear inverse problems are very common in signal and image processing. Many
algorithms that aim at solving such problems include unknown parameters that
need tuning. In this work we focus on optimally selecting such parameters in
iterative shrinkage methods for image deblurring and image zooming. Our work
uses the pro... | computer science |
39,062 | Towards automated high-throughput screening of C. elegans on agar | cs.CV | High-throughput screening (HTS) using model organisms is a promising method
to identify a small number of genes or drugs potentially relevant to human
biology or disease. In HTS experiments, robots and computers do a significant
portion of the experimental work. However, one remaining major bottleneck is
the manual ana... | computer science |
39,063 | Image Compression and Watermarking scheme using Scalar Quantization | cs.CV | This paper presents a new compression technique and image watermarking
algorithm based on Contourlet Transform (CT). For image compression, an energy
based quantization is used. Scalar quantization is explored for image
watermarking. Double filter bank structure is used in CT. The Laplacian Pyramid
(LP) is used to capt... | computer science |
39,064 | Fast L1-Minimization Algorithms For Robust Face Recognition | cs.CV | L1-minimization refers to finding the minimum L1-norm solution to an
underdetermined linear system b=Ax. Under certain conditions as described in
compressive sensing theory, the minimum L1-norm solution is also the sparsest
solution. In this paper, our study addresses the speed and scalability of its
algorithms. In par... | computer science |
39,065 | Orthogonal multifilters image processing of astronomical images from
scanned photographic plates | cs.CV | In this paper orthogonal multifilters for astronomical image processing are
presented. We obtained new orthogonal multifilters based on the orthogonal
wavelet of Haar and Daubechies. Recently, multiwavelets have been introduced as
a more powerful multiscale analysis tool. It adds several degrees of freedom in
multifilt... | computer science |
39,066 | Modeling the growth of fingerprints improves matching for adolescents | cs.CV | We study the effect of growth on the fingerprints of adolescents, based on
which we suggest a simple method to adjust for growth when trying to recover a
juvenile's fingerprint in a database years later. Based on longitudinal data
sets in juveniles' criminal records, we show that growth essentially leads to
an isotropi... | computer science |
39,067 | On Euclidean Norm Approximations | cs.NA | Euclidean norm calculations arise frequently in scientific and engineering
applications. Several approximations for this norm with differing complexity
and accuracy have been proposed in the literature. Earlier approaches were
based on minimizing the maximum error. Recently, Seol and Cheun proposed an
approximation bas... | computer science |
39,068 | Meaningful Matches in Stereovision | cs.CV | This paper introduces a statistical method to decide whether two blocks in a
pair of of images match reliably. The method ensures that the selected block
matches are unlikely to have occurred "just by chance." The new approach is
based on the definition of a simple but faithful statistical "background model"
for image ... | computer science |
39,069 | A new variational principle for the Euclidean distance function: Linear
approach to the non-linear eikonal problem | cs.CV | We present a fast convolution-based technique for computing an approximate,
signed Euclidean distance function $S$ on a set of 2D and 3D grid locations.
Instead of solving the non-linear, static Hamilton-Jacobi equation ($\|\nabla
S\|=1$), our solution stems from first solving for a scalar field $\phi$ in a
linear diff... | computer science |
39,070 | GPU-based Image Analysis on Mobile Devices | cs.GR | With the rapid advances in mobile technology many mobile devices are capable
of capturing high quality images and video with their embedded camera. This
paper investigates techniques for real-time processing of the resulting images,
particularly on-device utilizing a graphical processing unit. Issues and
limitations of... | computer science |
39,071 | Higher-Order Momentum Distributions and Locally Affine LDDMM
Registration | cs.CV | To achieve sparse parametrizations that allows intuitive analysis, we aim to
represent deformation with a basis containing interpretable elements, and we
wish to use elements that have the description capacity to represent the
deformation compactly. To accomplish this, we introduce in this paper
higher-order momentum d... | computer science |
39,072 | Automatic post-picking improves particle image detection from Cryo-EM
micrographs | cs.CV | Cryo-electron microscopy (cryo-EM) studies using single particle
reconstruction is extensively used to reveal structural information of
macromolecular complexes. Aiming at the highest achievable resolution, state of
the art electron microscopes acquire thousands of high-quality images. Having
collected these data, each... | computer science |
39,073 | A Non-Blind Watermarking Scheme for Gray Scale Images in Discrete
Wavelet Transform Domain using Two Subbands | cs.MM | Digital watermarking is the process to hide digital pattern directly into a
digital content. Digital watermarking techniques are used to address digital
rights management, protect information and conceal secrets. An invisible
non-blind watermarking approach for gray scale images is proposed in this
paper. The host imag... | computer science |
39,074 | Sketch Recognition using Domain Classification | cs.CV | Conceptualizing away the sketch processing details in a user interface will
enable general users and domain experts to create more complex sketches. There
are many domains for which sketch recognition systems are being developed. But
they entail image-processing skill if they are to handle the details of each
domain, a... | computer science |
39,075 | An Effective Fingerprint Classification and Search Method | cs.CV | This paper presents an effective fingerprint classification method designed
based on a hierarchical agglomerative clustering technique. The performance of
the technique was evaluated in terms of several real-life datasets and a
significant improvement in reducing the misclassification error has been
noticed. This paper... | computer science |
39,076 | Five Modulus Method For Image Compression | cs.CV | Data is compressed by reducing its redundancy, but this also makes the data
less reliable, more prone to errors. In this paper a novel approach of image
compression based on a new method that has been created for image compression
which is called Five Modulus Method (FMM). The new method consists of
converting each pix... | computer science |
39,077 | An Effective Method for Fingerprint Classification | cs.CV | This paper presents an effective method for fingerprint classification using
data mining approach. Initially, it generates a numeric code sequence for each
fingerprint image based on the ridge flow patterns. Then for each class, a seed
is selected by using a frequent itemsets generation technique. These seeds are
subse... | computer science |
39,078 | Content based video retrieval | cs.MM | Content based video retrieval is an approach for facilitating the searching
and browsing of large image collections over World Wide Web. In this approach,
video analysis is conducted on low level visual properties extracted from video
frame. We believed that in order to create an effective video retrieval system,
visua... | computer science |
39,079 | Mahotas: Open source software for scriptable computer vision | cs.CV | Mahotas is a computer vision library for Python. It contains traditional
image processing functionality such as filtering and morphological operations
as well as more modern computer vision functions for feature computation,
including interest point detection and local descriptors.
The interface is in Python, a dynam... | computer science |
39,080 | Improving Perceptual Color Difference using Basic Color Terms | cs.CV | We suggest a new color distance based on two observations. First, perceptual
color differences were designed to be used to compare very similar colors. They
do not capture human perception for medium and large color differences well.
Thresholding was proposed to solve the problem for large color differences,
i.e. two t... | computer science |
39,081 | SVD Based Image Processing Applications: State of The Art, Contributions
and Research Challenges | cs.CV | Singular Value Decomposition (SVD) has recently emerged as a new paradigm for
processing different types of images. SVD is an attractive algebraic transform
for image processing applications. The paper proposes an experimental survey
for the SVD as an efficient transform in image processing applications. Despite
the we... | computer science |
39,082 | Increasing Compression Ratio in PNG Images by k-Modulus Method for Image
Transformation | cs.CV | Image compression is an important filed in image processing. The science
welcomes any tinny contribution that may increase the compression ratio by
whichever insignificant percentage. Therefore, the essential contribution in
this paper is to increase the compression ratio for the well known Portable
Network Graphics (P... | computer science |
39,083 | A Novel Robust Method to Add Watermarks to Bitmap Images by Fading
Technique | cs.CV | Digital water marking is one of the essential fields in image security and
copyright protection. The proposed technique in this paper was based on the
principle of protecting images by hide an invisible watermark in the image. The
technique starts with merging the cover image and the watermark image with
suitable ratio... | computer science |
39,084 | Further results on dissimilarity spaces for hyperspectral images RF-CBIR | cs.IR | Content-Based Image Retrieval (CBIR) systems are powerful search tools in
image databases that have been little applied to hyperspectral images.
Relevance feedback (RF) is an iterative process that uses machine learning
techniques and user's feedback to improve the CBIR systems performance. We
pursued to expand previou... | computer science |
39,085 | A Sub-block Based Image Retrieval Using Modified Integrated Region
Matching | cs.IR | This paper proposes a content based image retrieval (CBIR) system using the
local colour and texture features of selected image sub-blocks and global
colour and shape features of the image. The image sub-blocks are roughly
identified by segmenting the image into partitions of different configuration,
finding the edge d... | computer science |
39,086 | Anatomical Feature-guided Volumeric Registration of Multimodal Prostate
MRI | cs.CV | Radiological imaging of prostate is becoming more popular among researchers
and clinicians in searching for diseases, primarily cancer. Scans might be
acquired at different times, with patient movement between scans, or with
different equipment, resulting in multiple datasets that need to be registered.
For this issue,... | computer science |
39,087 | Detection of Outer Rotations on 3D-Vector Fields with Iterative
Geometric Correlation and its Efficiency | cs.CV | Correlation is a common technique for the detection of shifts. Its
generalization to the multidimensional geometric correlation in Clifford
algebras has been proven a useful tool for color image processing, because it
additionally contains information about a rotational misalignment. But so far
the exact correction of ... | computer science |
39,088 | Exploiting Data Parallelism in the yConvex Hypergraph Algorithm for
Image Representation using GPGPUs | cs.DC | To define and identify a region-of-interest (ROI) in a digital image, the
shape descriptor of the ROI has to be described in terms of its boundary
characteristics. To address the generic issues of contour tracking, the yConvex
Hypergraph (yCHG) model was proposed by Kanna et al [1]. In this work, we
propose a parallel ... | computer science |
39,089 | Anisotropic Diffusion for Details Enhancement in Multi-Exposure Image
Fusion | cs.MM | We develop a multiexposure image fusion method based on texture features,
which exploits the edge preserving and intraregion smoothing property of
nonlinear diffusion filters based on partial differential equations (PDE). With
the captured multiexposure image series, we first decompose images into base
layers and detai... | computer science |
39,090 | Image color transfer to evoke different emotions based on color
combinations | cs.CV | In this paper, a color transfer framework to evoke different emotions for
images based on color combinations is proposed. The purpose of this color
transfer is to change the "look and feel" of images, i.e., evoking different
emotions. Colors are confirmed as the most attractive factor in images. In
addition, various st... | computer science |
39,091 | Tensor-based formulation and nuclear norm regularization for
multi-energy computed tomography | cs.CV | The development of energy selective, photon counting X-ray detectors allows
for a wide range of new possibilities in the area of computed tomographic image
formation. Under the assumption of perfect energy resolution, here we propose a
tensor-based iterative algorithm that simultaneously reconstructs the X-ray
attenuat... | computer science |
39,092 | Using a Dynamic Neural Field Model to Explore a Direct Collicular
Inhibition Account of Inhibition of Return | cs.CV | When the interval between a transient ash of light (a "cue") and a second
visual response signal (a "target") exceeds at least 200ms, responding is
slowest in the direction indicated by the first signal. This phenomenon is
commonly referred to as inhibition of return (IOR). The dynamic neural field
model (DNF) has prov... | computer science |
39,093 | Top-down and Bottom-up Feature Combination for Multi-sensor Attentive
Robots | cs.RO | The information available to robots in real tasks is widely distributed both
in time and space, requiring the agent to search for relevant data. In humans,
that face the same problem when sounds, images and smells are presented to
their sensors in a daily scene, a natural system is applied: Attention. As
vision plays a... | computer science |
39,094 | Numerical Methods for Coupled Reconstruction and Registration in Digital
Breast Tomosynthesis | cs.CV | Digital Breast Tomosynthesis (DBT) provides an insight into the fine details
of normal fibroglandular tissues and abnormal lesions by reconstructing a
pseudo-3D image of the breast. In this respect, DBT overcomes a major
limitation of conventional X-ray mammography by reducing the confounding
effects caused by the supe... | computer science |
39,095 | Reduced egomotion estimation drift using omnidirectional views | cs.CV | Estimation of camera motion from a given image sequence becomes degraded as
the length of the sequence increases. In this letter, this phenomenon is
demonstrated and an approach to increase the estimation accuracy is proposed.
The proposed method uses an omnidirectional camera in addition to the
perspective one and tak... | computer science |
39,096 | Optical Flow on Evolving Surfaces with Space and Time Regularisation | math.OC | We extend the concept of optical flow with spatiotemporal regularisation to a
dynamic non-Euclidean setting. Optical flow is traditionally computed from a
sequence of flat images. The purpose of this paper is to introduce variational
motion estimation for images that are defined on an evolving surface.
Volumetric micro... | computer science |
39,097 | Director Field Model of the Primary Visual Cortex for Contour Detection | cs.CV | We aim to build the simplest possible model capable of detecting long, noisy
contours in a cluttered visual scene. For this, we model the neural dynamics in
the primate primary visual cortex in terms of a continuous director field that
describes the average rate and the average orientational preference of active
neuron... | computer science |
39,098 | Early Fire Detection Using HEP and Space-time Analysis | cs.CV | In this article, a video base early fire alarm system is developed by
monitoring the smoke in the scene. There are two major contributions in this
work. First, to find the best texture feature for smoke detection, a general
framework, named Histograms of Equivalent Patterns (HEP), is adopted to achieve
an extensive eva... | computer science |
39,099 | Feature Selection Strategies for Classifying High Dimensional
Astronomical Data Sets | cs.CV | The amount of collected data in many scientific fields is increasing, all of
them requiring a common task: extract knowledge from massive, multi parametric
data sets, as rapidly and efficiently possible. This is especially true in
astronomy where synoptic sky surveys are enabling new research frontiers in the
time doma... | computer science |
39,100 | Wavelet methods for shape perception in electro-sensing | math.NA | This paper aims at presenting a new approach to the electro-sensing problem
using wavelets. It provides an efficient algorithm for recognizing the shape of
a target from micro-electrical impedance measurements. Stability and resolution
capabilities of the proposed algorithm are quantified in numerical simulations. | computer science |
39,101 | Image Restoration using Total Variation with Overlapping Group Sparsity | cs.CV | Image restoration is one of the most fundamental issues in imaging science.
Total variation (TV) regularization is widely used in image restoration
problems for its capability to preserve edges. In the literature, however, it
is also well known for producing staircase-like artifacts. Usually, the
high-order total varia... | computer science |
39,102 | ImageSpirit: Verbal Guided Image Parsing | cs.GR | Humans describe images in terms of nouns and adjectives while algorithms
operate on images represented as sets of pixels. Bridging this gap between how
humans would like to access images versus their typical representation is the
goal of image parsing, which involves assigning object and attribute labels to
pixel. In t... | computer science |
39,103 | Calibration of an Articulated Camera System with Scale Factor Estimation | cs.CV | Multiple Camera Systems (MCS) have been widely used in many vision
applications and attracted much attention recently. There are two principle
types of MCS, one is the Rigid Multiple Camera System (RMCS); the other is the
Articulated Camera System (ACS). In a RMCS, the relative poses (relative 3-D
position and orientat... | computer science |
39,104 | On Convergent Finite Difference Schemes for Variational - PDE Based
Image Processing | cs.CV | We study an adaptive anisotropic Huber functional based image restoration
scheme. By using a combination of L2-L1 regularization functions, an adaptive
Huber functional based energy minimization model provides denoising with edge
preservation in noisy digital images. We study a convergent finite difference
scheme based... | computer science |
39,105 | Reconstruction of Complex-Valued Fractional Brownian Motion Fields Based
on Compressive Sampling and Its Application to PSF Interpolation in Weak
Lensing Survey | cs.CV | A new reconstruction method of complex-valued fractional Brownian motion
(CV-fBm) field based on Compressive Sampling (CS) is proposed. The decay
property of Fourier coefficients magnitude of the fBm signals/ fields indicates
that fBms are compressible. Therefore, a few numbers of samples will be
sufficient for a CS ba... | computer science |
39,106 | Tracking Deformable Parts via Dynamic Conditional Random Fields | cs.CV | Despite the success of many advanced tracking methods in this area, tracking
targets with drastic variation of appearance such as deformation, view change
and partial occlusion in video sequences is still a challenge in practical
applications. In this letter, we take these serious tracking problems into
account simulta... | computer science |
39,107 | A Parallel Compressive Imaging Architecture for One-Shot Acquisition | cs.CV | A limitation of many compressive imaging architectures lies in the sequential
nature of the sensing process, which leads to long sensing times. In this paper
we present a novel architecture that uses fewer detectors than the number of
reconstructed pixels and is able to acquire the image in a single acquisition.
This p... | computer science |
39,108 | Motion and audio analysis in mobile devices for remote monitoring of
physical activities and user authentication | cs.HC | In this article we propose the use of accelerometer embedded by default in
smartphone as a cost-effective, reliable and efficient way to provide remote
physical activity monitoring for the elderly and people requiring healthcare
service. Mobile phones are regularly carried by users during their day-to-day
work routine,... | computer science |
39,109 | Vision-Guided Robot Hearing | cs.RO | Natural human-robot interaction in complex and unpredictable environments is
one of the main research lines in robotics. In typical real-world scenarios,
humans are at some distance from the robot and the acquired signals are
strongly impaired by noise, reverberations and other interfering sources. In
this context, the... | computer science |
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