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38,910 | Indexing Medical Images based on Collaborative Experts Reports | cs.CV | A patient is often willing to quickly get, from his physician, reliable
analysis and concise explanation according to provided linked medical images.
The fact of making choices individually by the patient's physician may lead to
malpractices and consequently generates unforeseeable damages. The Institute of
Medicine of... | computer science |
38,911 | Flying Triangulation - towards the 3D movie camera | cs.CV | Flying Triangulation sensors enable a free-hand and motion-robust 3D data
acquisition of complex shaped objects. The measurement principle is based on a
multi-line light-sectioning approach and uses sophisticated algorithms for
real-time registration (S. Ettl et al., Appl. Opt. 51 (2012) 281-289). As
"single-shot princ... | computer science |
38,912 | Applications of Clifford's Geometric Algebra | math.RA | We survey the development of Clifford's geometric algebra and some of its
engineering applications during the last 15 years. Several recently developed
applications and their merits are discussed in some detail. We thus hope to
clearly demonstrate the benefit of developing problem solutions in a unified
framework for a... | computer science |
38,913 | Pectoral Muscles Suppression in Digital Mammograms using Hybridization
of Soft Computing Methods | cs.CV | Breast region segmentation is an essential prerequisite in computerized
analysis of mammograms. It aims at separating the breast tissue from the
background of the mammogram and it includes two independent segmentations. The
first segments the background region which usually contains annotations, labels
and frames from ... | computer science |
38,914 | Hand-guided 3D surface acquisition by combining simple light sectioning
with real-time algorithms | cs.CV | Precise 3D measurements of rigid surfaces are desired in many fields of
application like quality control or surgery. Often, views from all around the
object have to be acquired for a full 3D description of the object surface. We
present a sensor principle called "Flying Triangulation" which avoids an
elaborate "stop-an... | computer science |
38,915 | Enhancement performance of road recognition system of autonomous robots
in shadow scenario | cs.RO | Road region recognition is a main feature that is gaining increasing
attention from intellectuals because it helps autonomous vehicle to achieve a
successful navigation without accident. However, different techniques based on
camera sensor have been used by various researchers and outstanding results
have been achieved... | computer science |
38,916 | Multilinear Wavelets: A Statistical Shape Space for Human Faces | cs.CV | We present a statistical model for $3$D human faces in varying expression,
which decomposes the surface of the face using a wavelet transform, and learns
many localized, decorrelated multilinear models on the resulting coefficients.
Using this model we are able to reconstruct faces from noisy and occluded $3$D
face sca... | computer science |
38,917 | An Alternate Approach for Designing a Domain Specific Image Search
Prototype Using Histogram | cs.CV | Everyone knows that thousand of words are represented by a single image. As a
result image search has become a very popular mechanism for the Web searchers.
Image search means, the search results are produced by the search engine should
be a set of images along with their Web page Unified Resource Locator. Now Web
sear... | computer science |
38,918 | An Enhanced Method For Evaluating Automatic Video Summaries | cs.CV | Evaluation of automatic video summaries is a challenging problem. In the past
years, some evaluation methods are presented that utilize only a single feature
like color feature to detect similarity between automatic video summaries and
ground-truth user summaries. One of the drawbacks of using a single feature is
that ... | computer science |
38,919 | Leaf Classification Using Shape, Color, and Texture Features | cs.CV | Several methods to identify plants have been proposed by several researchers.
Commonly, the methods did not capture color information, because color was not
recognized as an important aspect to the identification. In this research,
shape and vein, color, and texture features were incorporated to classify a
leaf. In thi... | computer science |
38,920 | Modelling Observation Correlations for Active Exploration and Robust
Object Detection | cs.RO | Today, mobile robots are expected to carry out increasingly complex tasks in
multifarious, real-world environments. Often, the tasks require a certain
semantic understanding of the workspace. Consider, for example, spoken
instructions from a human collaborator referring to objects of interest; the
robot must be able to... | computer science |
38,921 | Image Block Loss Restoration Using Sparsity Pattern as Side Information | cs.MM | In this paper, we propose a method for image block loss restoration based on
the notion of sparse representation. We use the sparsity pattern as side
information to efficiently restore block losses by iteratively imposing the
constraints of spatial and transform domains on the corrupted image. Two novel
features, inclu... | computer science |
38,922 | smart application for AMS using Face Recognition | cs.CY | Attendance Management System (AMS) can be made into smarter way by using face
recognition technique, where we use a CCTV camera to be fixed at the entry
point of a classroom, which automatically captures the image of the person and
checks the observed image with the face database using android enhanced smart
phone. It ... | computer science |
38,923 | Video Compressive Sensing for Dynamic MRI | cs.CV | We present a video compressive sensing framework, termed kt-CSLDS, to
accelerate the image acquisition process of dynamic magnetic resonance imaging
(MRI). We are inspired by a state-of-the-art model for video compressive
sensing that utilizes a linear dynamical system (LDS) to model the motion
manifold. Given compress... | computer science |
38,924 | Cross-calibration of Time-of-flight and Colour Cameras | cs.CV | Time-of-flight cameras provide depth information, which is complementary to
the photometric appearance of the scene in ordinary images. It is desirable to
merge the depth and colour information, in order to obtain a coherent scene
representation. However, the individual cameras will have different viewpoints,
resolutio... | computer science |
38,925 | An Optimization Method For Slice Interpolation Of Medical Images | cs.CV | Slice interpolation is a fast growing field in medical image processing.
Intensity-based interpolation and object-based interpolation are two major
groups of methods in the literature. In this paper, we describe an
object-oriented, optimization method based on a modified version of
curvature-based image registration, i... | computer science |
38,926 | Performance of Hull-Detection Algorithms For Proton Computed Tomography
Reconstruction | cs.CV | Proton computed tomography (pCT) is a novel imaging modality developed for
patients receiving proton radiation therapy. The purpose of this work was to
investigate hull-detection algorithms used for preconditioning of the large and
sparse linear system of equations that needs to be solved for pCT image
reconstruction. ... | computer science |
38,927 | Efficient Low Dose X-ray CT Reconstruction through Sparsity-Based MAP
Modeling | stat.AP | Ultra low radiation dose in X-ray Computed Tomography (CT) is an important
clinical objective in order to minimize the risk of carcinogenesis. Compressed
Sensing (CS) enables significant reductions in radiation dose to be achieved by
producing diagnostic images from a limited number of CT projections. However,
the exce... | computer science |
38,928 | Signal Reconstruction Framework Based On Projections Onto Epigraph Set
Of A Convex Cost Function (PESC) | math.OC | A new signal processing framework based on making orthogonal Projections onto
the Epigraph Set of a Convex cost function (PESC) is developed. In this way it
is possible to solve convex optimization problems using the well-known
Projections onto Convex Set (POCS) approach. In this algorithm, the dimension
of the minimiz... | computer science |
38,929 | Image Search Reranking | cs.IR | The existing methods for image search reranking suffer from the
unfaithfulness of the assumptions under which the text-based images search
result. The resulting images contain more irrelevant images. Hence the re
ranking concept arises to re rank the retrieved images based on the text around
the image and data of data ... | computer science |
38,930 | Sparsity averaging for radio-interferometric imaging | cs.CV | We propose a novel regularization method for compressive imaging in the
context of the compressed sensing (CS) theory with coherent and redundant
dictionaries. Natural images are often complicated and several types of
structures can be present at once. It is well known that piecewise smooth
images exhibit gradient spar... | computer science |
38,931 | Animation of 3D Human Model Using Markerless Motion Capture Applied To
Sports | cs.GR | Markerless motion capture is an active research in 3D virtualization. In
proposed work we presented a system for markerless motion capture for 3D human
character animation, paper presents a survey on motion and skeleton tracking
techniques which are developed or are under development. The paper proposed a
method to tra... | computer science |
38,932 | Hand-Eye and Robot-World Calibration by Global Polynomial Optimization | cs.CV | The need to relate measurements made by a camera to a different known
coordinate system arises in many engineering applications. Historically, it
appeared for the first time in the connection with cameras mounted on robotic
systems. This problem is commonly known as hand-eye calibration. In this paper,
we present sever... | computer science |
38,933 | Intrinsically Motivated Learning of Visual Motion Perception and Smooth
Pursuit | cs.CV | We extend the framework of efficient coding, which has been used to model the
development of sensory processing in isolation, to model the development of the
perception/action cycle. Our extension combines sparse coding and reinforcement
learning so that sensory processing and behavior co-develop to optimize a
shared i... | computer science |
38,934 | A Narrative Vehicle Protection Representation for Vehicle Speed
Regulator Under Driver Exhaustion -- A Study | cs.CV | Driver fatigue is one of the important factors that cause traffic accidents,
and the ever-increasing number due to diminished drivers vigilance level has
become a problem of serious concern to society. Drivers with a diminished
vigilance level suffer from a marked decline in their abilities of perception,
recognition, ... | computer science |
38,935 | Anisotropic Mesh Adaptation for Image Representation | cs.CV | Triangular meshes have gained much interest in image representation and have
been widely used in image processing. This paper introduces a framework of
anisotropic mesh adaptation (AMA) methods to image representation and proposes
a GPRAMA method that is based on AMA and greedy-point removal (GPR) scheme.
Different tha... | computer science |
38,936 | Real-time Automatic Emotion Recognition from Body Gestures | cs.HC | Although psychological research indicates that bodily expressions convey
important affective information, to date research in emotion recognition
focused mainly on facial expression or voice analysis. In this paper we propose
an approach to realtime automatic emotion recognition from body movements. A
set of postural, ... | computer science |
38,937 | Temporal Image Fusion | cs.CV | This paper introduces temporal image fusion. The proposed technique builds
upon previous research in exposure fusion and expands it to deal with the
limited Temporal Dynamic Range of existing sensors and camera technologies. In
particular, temporal image fusion enables the rendering of long-exposure
effects on full fra... | computer science |
38,938 | Summarisation of Short-Term and Long-Term Videos using Texture and
Colour | cs.CV | We present a novel approach to video summarisation that makes use of a
Bag-of-visual-Textures (BoT) approach. Two systems are proposed, one based
solely on the BoT approach and another which exploits both colour information
and BoT features. On 50 short-term videos from the Open Video Project we show
that our BoT and f... | computer science |
38,939 | Geometry-based Adaptive Symbolic Approximation for Fast Sequence
Matching on Manifolds | cs.CV | In this paper, we consider the problem of fast and efficient indexing
techniques for sequences evolving in non-Euclidean spaces. This problem has
several applications in the areas of human activity analysis, where there is a
need to perform fast search, and recognition in very high dimensional spaces.
The problem is ma... | computer science |
38,940 | Ubic: Bridging the gap between digital cryptography and the physical
world | cs.CR | Advances in computing technology increasingly blur the boundary between the
digital domain and the physical world. Although the research community has
developed a large number of cryptographic primitives and has demonstrated their
usability in all-digital communication, many of them have not yet made their
way into the... | computer science |
38,941 | Shape-Based Plagiarism Detection for Flowchart Figures in Texts | cs.CV | Plagiarism detection is well known phenomenon in the academic arena. Copying
other people is considered as serious offence that needs to be checked. There
are many plagiarism detection systems such as turn-it-in that has been
developed to provide this checks. Most, if not all, discard the figures and
charts before chec... | computer science |
38,942 | Image reconstruction from limited range projections using orthogonal
moments | cs.CV | A set of orthonormal polynomials is proposed for image reconstruction from
projection data. The relationship between the projection moments and image
moments is discussed in detail, and some interesting properties are
demonstrated. Simulation results are provided to validate the method and to
compare its performance wi... | computer science |
38,943 | Efficient Legendre moment computation for grey level images | cs.CV | Legendre orthogonal moments have been widely used in the field of image
analysis. Because their computation by a direct method is very time expensive,
recent efforts have been devoted to the reduction of computational complexity.
Nevertheless, the existing algorithms are mainly focused on binary images. We
propose here... | computer science |
38,944 | Numerical Approaches for Linear Left-invariant Diffusions on SE(2),
their Comparison to Exact Solutions, and their Applications in Retinal
Imaging | math.NA | Left-invariant PDE-evolutions on the roto-translation group $SE(2)$ (and
their resolvent equations) have been widely studied in the fields of cortical
modeling and image analysis. They include hypo-elliptic diffusion (for contour
enhancement) proposed by Citti & Sarti, and Petitot, and they include the
direction proces... | computer science |
38,945 | Spontaneous expression classification in the encrypted domain | cs.CV | To date, most facial expression analysis have been based on posed image
databases and is carried out without being able to protect the identity of the
subjects whose expressions are being recognised. In this paper, we propose and
implement a system for classifying facial expressions of images in the
encrypted domain ba... | computer science |
38,946 | Image processing using miniKanren | cs.CV | An integral image is one of the most efficient optimization technique for
image processing. However an integral image is only a special case of delayed
stream or memoization. This research discusses generalizing concept of integral
image optimization technique, and how to generate an integral image optimized
program co... | computer science |
38,947 | Stabilizing dual-energy X-ray computed tomography reconstructions using
patch-based regularization | cs.CV | Recent years have seen growing interest in exploiting dual- and multi-energy
measurements in computed tomography (CT) in order to characterize material
properties as well as object shape. Material characterization is performed by
decomposing the scene into constitutive basis functions, such as Compton
scatter and photo... | computer science |
38,948 | Image Retargeting by Content-Aware Synthesis | cs.GR | Real-world images usually contain vivid contents and rich textural details,
which will complicate the manipulation on them. In this paper, we design a new
framework based on content-aware synthesis to enhance content-aware image
retargeting. By detecting the textural regions in an image, the textural image
content can ... | computer science |
38,949 | KPCA Spatio-temporal trajectory point cloud classifier for recognizing
human actions in a CBVR system | cs.IR | We describe a content based video retrieval (CBVR) software system for
identifying specific locations of a human action within a full length film, and
retrieving similar video shots from a query. For this, we introduce the concept
of a trajectory point cloud for classifying unique actions, encoded in a
spatio-temporal ... | computer science |
38,950 | Pupil: An Open Source Platform for Pervasive Eye Tracking and Mobile
Gaze-based Interaction | cs.CV | Commercial head-mounted eye trackers provide useful features to customers in
industry and research but are expensive and rely on closed source hardware and
software. This limits the application areas and use of mobile eye tracking to
expert users and inhibits user-driven development, customisation, and
extension. In th... | computer science |
38,951 | VSCAN: An Enhanced Video Summarization using Density-based Spatial
Clustering | cs.CV | In this paper, we present VSCAN, a novel approach for generating static video
summaries. This approach is based on a modified DBSCAN clustering algorithm to
summarize the video content utilizing both color and texture features of the
video frames. The paper also introduces an enhanced evaluation method that
depends on ... | computer science |
38,952 | Optimal measurement of visual motion across spatial and temporal scales | cs.CV | Sensory systems use limited resources to mediate the perception of a great
variety of objects and events. Here a normative framework is presented for
exploring how the problem of efficient allocation of resources can be solved in
visual perception. Starting with a basic property of every measurement,
captured by Gabor'... | computer science |
38,953 | Study on performance improvement of oil paint image filter algorithm
using parallel pattern library | cs.CV | This paper gives a detailed study on the performance of oil paint image
filter algorithm with various parameters applied on an image of RGB model. Oil
Paint image processing, being very performance hungry, current research tries
to find improvement using parallel pattern library. With increasing
kernel-size, the proces... | computer science |
38,954 | Variational Image Segmentation Model Coupled with Image Restoration
Achievements | cs.CV | Image segmentation and image restoration are two important topics in image
processing with great achievements. In this paper, we propose a new multiphase
segmentation model by combining image restoration and image segmentation
models. Utilizing image restoration aspects, the proposed segmentation model
can effectively ... | computer science |
38,955 | Image Segmentation Using Frequency Locking of Coupled Oscillators | cs.CV | Synchronization of coupled oscillators is observed at multiple levels of
neural systems, and has been shown to play an important function in visual
perception. We propose a computing system based on locally coupled oscillator
networks for image segmentation. The system can serve as the preprocessing
front-end of an ima... | computer science |
38,956 | Image Restoration Using Joint Statistical Modeling in Space-Transform
Domain | cs.MM | This paper presents a novel strategy for high-fidelity image restoration by
characterizing both local smoothness and nonlocal self-similarity of natural
images in a unified statistical manner. The main contributions are three-folds.
First, from the perspective of image statistics, a joint statistical modeling
(JSM) in ... | computer science |
38,957 | Newton-Type Iterative Solver for Multiple View $L2$ Triangulation | cs.CV | In this note, we show that the L2 optimal solutions to most real multiple
view L2 triangulation problems can be efficiently obtained by two-stage
Newton-like iterative methods, while the difficulty of such problems mainly
lies in how to verify the L2 optimality. Such a working two-stage bundle
adjustment approach featu... | computer science |
38,958 | Kronecker PCA Based Spatio-Temporal Modeling of Video for Dismount
Classification | cs.CV | We consider the application of KronPCA spatio-temporal modeling techniques
[Greenewald et al 2013, Tsiligkaridis et al 2013] to the extraction of
spatiotemporal features for video dismount classification. KronPCA performs a
low-rank type of dimensionality reduction that is adapted to spatio-temporal
data and is charact... | computer science |
38,959 | Single camera pose estimation using Bayesian filtering and Kinect motion
priors | cs.CV | Traditional approaches to upper body pose estimation using monocular vision
rely on complex body models and a large variety of geometric constraints. We
argue that this is not ideal and somewhat inelegant as it results in large
processing burdens, and instead attempt to incorporate these constraints
through priors obta... | computer science |
38,960 | Detection Bank: An Object Detection Based Video Representation for
Multimedia Event Recognition | cs.MM | While low-level image features have proven to be effective representations
for visual recognition tasks such as object recognition and scene
classification, they are inadequate to capture complex semantic meaning
required to solve high-level visual tasks such as multimedia event detection
and recognition. Recognition o... | computer science |
38,961 | Variational Depth from Focus Reconstruction | cs.CV | This paper deals with the problem of reconstructing a depth map from a
sequence of differently focused images, also known as depth from focus or shape
from focus. We propose to state the depth from focus problem as a variational
problem including a smooth but nonconvex data fidelity term, and a convex
nonsmooth regular... | computer science |
38,962 | On Pairwise Costs for Network Flow Multi-Object Tracking | cs.CV | Multi-object tracking has been recently approached with the min-cost network
flow optimization techniques. Such methods simultaneously resolve multiple
object tracks in a video and enable modeling of dependencies among tracks.
Min-cost network flow methods also fit well within the "tracking-by-detection"
paradigm where... | computer science |
38,963 | A fast patch-dictionary method for whole image recovery | cs.CV | Various algorithms have been proposed for dictionary learning. Among those
for image processing, many use image patches to form dictionaries. This paper
focuses on whole-image recovery from corrupted linear measurements. We address
the open issue of representing an image by overlapping patches: the overlapping
leads to... | computer science |
38,964 | Unsupervised learning segmentation for dynamic speckle activity images | cs.CV | This paper proposes the design of decision models based on Computational
Intelligence techniques applied to image sequences of dynamic laser speckle.
These models aim to identify image regions of biological specimens illuminated
by a coherent beam coming from a laser. The field image is pseudo colored using
a Self Orga... | computer science |
38,965 | Offline Signature-Based Fuzzy Vault (OSFV: Review and New Results | cs.CV | An offline signature-based fuzzy vault (OSFV) is a bio-cryptographic
implementation that uses handwritten signature images as biometrics instead of
traditional passwords to secure private cryptographic keys. Having a reliable
OSFV implementation is the first step towards automating financial and legal
authentication pr... | computer science |
38,966 | Object Segmentation in Images using EEG Signals | cs.CV | This paper explores the potential of brain-computer interfaces in segmenting
objects from images. Our approach is centered around designing an effective
method for displaying the image parts to the users such that they generate
measurable brain reactions. When an image region, specifically a block of
pixels, is display... | computer science |
38,967 | Unsupervised Spike Sorting Based on Discriminative Subspace Learning | cs.CV | Spike sorting is a fundamental preprocessing step for many neuroscience
studies which rely on the analysis of spike trains. In this paper, we present
two unsupervised spike sorting algorithms based on discriminative subspace
learning. The first algorithm simultaneously learns the discriminative feature
subspace and per... | computer science |
38,968 | Compression, Restoration, Re-sampling, Compressive Sensing: Fast
Transforms in Digital Imaging | cs.CV | Transform image processing methods are methods that work in domains of image
transforms, such as Discrete Fourier, Discrete Cosine, Wavelet and alike. They
are the basic tool in image compression, in image restoration, in image
re-sampling and geometrical transformations and can be traced back to early
1970-ths. The pa... | computer science |
38,969 | Efficient refinement of GPS-based localization in urban areas using
visual information and sensor parameter | cs.CV | An efficient method is proposed for refining GPS-acquired location
coordinates in urban areas using camera images, Google Street View (GSV) and
sensor parameters. The main goal is to compensate for GPS location imprecision
in dense area of cities due to proximity to walls and buildings. Avail-able
methods for better lo... | computer science |
38,970 | Fast and Robust Feature Matching for RGB-D Based Localization | cs.CV | In this paper we present a novel approach to global localization using an
RGB-D camera in maps of visual features. For large maps, the performance of
pure image matching techniques decays in terms of robustness and computational
cost. Particularly, repeated occurrences of similar features due to repeating
structure in ... | computer science |
38,971 | ORB-SLAM: a Versatile and Accurate Monocular SLAM System | cs.RO | This paper presents ORB-SLAM, a feature-based monocular SLAM system that
operates in real time, in small and large, indoor and outdoor environments. The
system is robust to severe motion clutter, allows wide baseline loop closing
and relocalization, and includes full automatic initialization. Building on
excellent algo... | computer science |
38,972 | A specialized face-processing network consistent with the
representational geometry of monkey face patches | cs.CV | Ample evidence suggests that face processing in human and non-human primates
is performed differently compared with other objects. Converging reports, both
physiologically and psychophysically, indicate that faces are processed in
specialized neural networks in the brain -i.e. face patches in monkeys and the
fusiform f... | computer science |
38,973 | Fast unsupervised Bayesian image segmentation with adaptive spatial
regularisation | stat.CO | This paper presents a new Bayesian estimation technique for hidden
Potts-Markov random fields with unknown regularisation parameters, with
application to fast unsupervised K-class image segmentation. The technique is
derived by first removing the regularisation parameter from the Bayesian model
by marginalisation, foll... | computer science |
38,974 | Ring artifacts correction in compressed sensing tomographic
reconstruction | cs.CV | We present a novel approach to handle ring artifacts correction in compressed
sensing tomographic reconstruction. The correction is part of the
reconstruction process, which differs from classical sinogram pre-processing
and image post-processing techniques. The principle of compressed sensing
tomographic reconstructio... | computer science |
38,975 | Performance Analysis of Cone Detection Algorithms | cs.CV | Many algorithms have been proposed to help clinicians evaluate cone density
and spacing, as these may be related to the onset of retinal diseases. However,
there has been no rigorous comparison of the performance of these algorithms.
In addition, the performance of such algorithms is typically determined by
comparison ... | computer science |
38,976 | Learning Articulated Motions From Visual Demonstration | cs.RO | Many functional elements of human homes and workplaces consist of rigid
components which are connected through one or more sliding or rotating
linkages. Examples include doors and drawers of cabinets and appliances;
laptops; and swivel office chairs. A robotic mobile manipulator would benefit
from the ability to acquir... | computer science |
38,977 | Talk to the Hand: Generating a 3D Print from Photographs | math.HO | This manuscript presents a linear algebra-based technique that only requires
two unique photographs from a digital camera to mathematically construct a 3D
surface representation which can then be 3D printed. Basic computer vision
theory and manufacturing principles are also briefly discussed. | computer science |
38,978 | Simulation of Color Blindness and a Proposal for Using Google Glass as
Color-correcting Tool | cs.HC | The human visual color response is driven by specialized cells called cones,
which exist in three types, viz. R, G, and B. Software is developed to simulate
how color images are displayed for different types of color blindness.
Specified the default color deficiency associated with a user, it generates a
preview of the... | computer science |
38,979 | NEFI: Network Extraction From Images | cs.CV | Networks and network-like structures are amongst the central building blocks
of many technological and biological systems. Given a mathematical graph
representation of a network, methods from graph theory enable a precise
investigation of its properties. Software for the analysis of graphs is widely
available and has b... | computer science |
38,980 | Intra-and-Inter-Constraint-based Video Enhancement based on Piecewise
Tone Mapping | cs.CV | Video enhancement plays an important role in various video applications. In
this paper, we propose a new intra-and-inter-constraint-based video enhancement
approach aiming to 1) achieve high intra-frame quality of the entire picture
where multiple region-of-interests (ROIs) can be adaptively and simultaneously
enhanced... | computer science |
38,981 | Boosting of Image Denoising Algorithms | cs.CV | In this paper we propose a generic recursive algorithm for improving image
denoising methods. Given the initial denoised image, we suggest repeating the
following "SOS" procedure: (i) (S)trengthen the signal by adding the previous
denoised image to the degraded input image, (ii) (O)perate the denoising method
on the st... | computer science |
38,982 | Describing Colors, Textures and Shapes for Content Based Image Retrieval
- A Survey | cs.IR | Visual media has always been the most enjoyed way of communication. From the
advent of television to the modern day hand held computers, we have witnessed
the exponential growth of images around us. Undoubtedly it's a fact that they
carry a lot of information in them which needs be utilized in an effective
manner. Henc... | computer science |
38,983 | Exploiting Feature and Class Relationships in Video Categorization with
Regularized Deep Neural Networks | cs.CV | In this paper, we study the challenging problem of categorizing videos
according to high-level semantics such as the existence of a particular human
action or a complex event. Although extensive efforts have been devoted in
recent years, most existing works combined multiple video features using simple
fusion strategie... | computer science |
38,984 | Highly corrupted image inpainting through hypoelliptic diffusion | cs.CV | We present a new image inpainting algorithm, the Averaging and Hypoelliptic
Evolution (AHE) algorithm, inspired by the one presented in [SIAM J. Imaging
Sci., vol. 7, no. 2, pp. 669--695, 2014] and based upon a semi-discrete
variation of the Citti-Petitot-Sarti model of the primary visual cortex V1. The
AHE algorithm i... | computer science |
38,985 | Coercive Region-level Registration for Multi-modal Images | cs.CV | We propose a coercive approach to simultaneously register and segment
multi-modal images which share similar spatial structure. Registration is done
at the region level to facilitate data fusion while avoiding the need for
interpolation. The algorithm performs alternating minimization of an objective
function informed ... | computer science |
38,986 | Automatic Optimization of Hardware Accelerators for Image Processing | cs.PL | In the domain of image processing, often real-time constraints are required.
In particular, in safety-critical applications, such as X-ray computed
tomography in medical imaging or advanced driver assistance systems in the
automotive domain, timing is of utmost importance. A common approach to
maintain real-time capabi... | computer science |
38,987 | Landmark-Guided Elastic Shape Analysis of Human Character Motions | cs.CV | Motions of virtual characters in movies or video games are typically
generated by recording actors using motion capturing methods. Animations
generated this way often need postprocessing, such as improving the periodicity
of cyclic animations or generating entirely new motions by interpolation of
existing ones. Further... | computer science |
38,988 | Hybrid coding of visual content and local image features | cs.MM | Distributed visual analysis applications, such as mobile visual search or
Visual Sensor Networks (VSNs) require the transmission of visual content on a
bandwidth-limited network, from a peripheral node to a processing unit.
Traditionally, a Compress-Then-Analyze approach has been pursued, in which
sensing nodes acquire... | computer science |
38,989 | Coding local and global binary visual features extracted from video
sequences | cs.MM | Binary local features represent an effective alternative to real-valued
descriptors, leading to comparable results for many visual analysis tasks,
while being characterized by significantly lower computational complexity and
memory requirements. When dealing with large collections, a more compact
representation based o... | computer science |
38,990 | Image Segmentation in Liquid Argon Time Projection Chamber Detector | cs.CV | The Liquid Argon Time Projection Chamber (LAr-TPC) detectors provide
excellent imaging and particle identification ability for studying neutrinos.
An efficient and automatic reconstruction procedures are required to exploit
potential of this imaging technology. Herein, a novel method for segmentation
of images from LAr... | computer science |
38,991 | Efficient Upsampling of Natural Images | cs.CV | We propose a novel method of efficient upsampling of a single natural image.
Current methods for image upsampling tend to produce high-resolution images
with either blurry salient edges, or loss of fine textural detail, or spurious
noise artifacts.
In our method, we mitigate these effects by modeling the input image ... | computer science |
38,992 | Activity Recognition Using A Combination of Category Components And
Local Models for Video Surveillance | cs.CV | This paper presents a novel approach for automatic recognition of human
activities for video surveillance applications. We propose to represent an
activity by a combination of category components, and demonstrate that this
approach offers flexibility to add new activities to the system and an ability
to deal with the p... | computer science |
38,993 | Macroblock Classification Method for Video Applications Involving
Motions | cs.MM | In this paper, a macroblock classification method is proposed for various
video processing applications involving motions. Based on the analysis of the
Motion Vector field in the compressed video, we propose to classify Macroblocks
of each video frame into different classes and use this class information to
describe th... | computer science |
38,994 | Constrained $H^1$-regularization schemes for diffeomorphic image
registration | math.OC | We propose regularization schemes for deformable registration and efficient
algorithms for their numerical approximation. We treat image registration as a
variational optimal control problem. The deformation map is parametrized by its
velocity. Tikhonov regularization ensures well-posedness. Our scheme augments
standar... | computer science |
38,995 | A Survey On Video Forgery Detection | cs.MM | The Digital Forgeries though not visibly identifiable to human perception it
may alter or meddle with underlying natural statistics of digital content.
Tampering involves fiddling with video content in order to cause damage or make
unauthorized alteration/modification. Tampering detection in video is
cumbersome compare... | computer science |
38,996 | Anisotropic Diffusion in ITK | cs.CV | Anisotropic Non-Linear Diffusion is a powerful image processing technique,
which allows to simultaneously remove the noise and enhance sharp features in
two or three dimensional images. Anisotropic Diffusion is understood here in
the sense of Weickert, meaning that diffusion tensors are anisotropic and
reflect the loca... | computer science |
38,997 | A Hierarchical Approach for Joint Multi-view Object Pose Estimation and
Categorization | cs.CV | We propose a joint object pose estimation and categorization approach which
extracts information about object poses and categories from the object parts
and compositions constructed at different layers of a hierarchical object
representation algorithm, namely Learned Hierarchy of Parts (LHOP). In the
proposed approach,... | computer science |
38,998 | Convex Optimization for Parallel Energy Minimization | cs.CV | Energy minimization has been an intensely studied core problem in computer
vision. With growing image sizes (2D and 3D), it is now highly desirable to run
energy minimization algorithms in parallel. But many existing algorithms, in
particular, some efficient combinatorial algorithms, are difficult to
par-allelize. By e... | computer science |
38,999 | Frequency Domain TOF: Encoding Object Depth in Modulation Frequency | cs.CV | Time of flight cameras may emerge as the 3-D sensor of choice. Today, time of
flight sensors use phase-based sampling, where the phase delay between emitted
and received, high-frequency signals encodes distance. In this paper, we
present a new time of flight architecture that relies only on frequency---we
refer to this... | computer science |
39,000 | Partial light field tomographic reconstruction from a fixed-camera focal
stack | cs.CV | This paper describes a novel approach to partially reconstruct
high-resolution 4D light fields from a stack of differently focused photographs
taken with a fixed camera. First, a focus map is calculated from this stack
using a simple approach combining gradient detection and region expansion with
graph-cut. Then, this ... | computer science |
39,001 | Tomographic Image Reconstruction using Training images | cs.CV | We describe and examine an algorithm for tomographic image reconstruction
where prior knowledge about the solution is available in the form of training
images. We first construct a nonnegative dictionary based on prototype elements
from the training images; this problem is formulated as a regularized
non-negative matri... | computer science |
39,002 | DESAT: an SSW tool for SDO/AIA image de-saturation | cs.CV | Saturation affects a significant rate of images recorded by the Atmospheric
Imaging Assembly on the Solar Dynamics Observatory. This paper describes a
computational method and a technological pipeline for the de-saturation of such
images, based on several mathematical ingredients like Expectation
Maximization, image co... | computer science |
39,003 | Understanding Image Virality | cs.SI | Virality of online content on social networking websites is an important but
esoteric phenomenon often studied in fields like marketing, psychology and data
mining. In this paper we study viral images from a computer vision perspective.
We introduce three new image datasets from Reddit, and define a virality score
usin... | computer science |
39,004 | Fast and Robust Fixed-Rank Matrix Recovery | cs.CV | We address the problem of efficient sparse fixed-rank (S-FR) matrix
decomposition, i.e., splitting a corrupted matrix $M$ into an uncorrupted
matrix $L$ of rank $r$ and a sparse matrix of outliers $S$. Fixed-rank
constraints are usually imposed by the physical restrictions of the system
under study. Here we propose a m... | computer science |
39,005 | Parallel Statistical Multi-resolution Estimation | cs.CV | We discuss several strategies to implement Dykstra's projection algorithm on
NVIDIA's compute unified device architecture (CUDA). Dykstra's algorithm is the
central step in and the computationally most expensive part of statistical
multi-resolution methods. It projects a given vector onto the intersection of
convex set... | computer science |
39,006 | Appearance-based indoor localization: A comparison of patch descriptor
performance | cs.CV | Vision is one of the most important of the senses, and humans use it
extensively during navigation. We evaluated different types of image and video
frame descriptors that could be used to determine distinctive visual landmarks
for localizing a person based on what is seen by a camera that they carry. To
do this, we cre... | computer science |
39,007 | Low-Level Features for Image Retrieval Based on Extraction of
Directional Binary Patterns and Its Oriented Gradients Histogram | cs.CV | In this paper, we present a novel approach for image retrieval based on
extraction of low level features using techniques such as Directional Binary
Code, Haar Wavelet transform and Histogram of Oriented Gradients. The DBC
texture descriptor captures the spatial relationship between any pair of
neighbourhood pixels in ... | computer science |
39,008 | Starting engagement detection towards a companion robot using multimodal
features | cs.RO | Recognition of intentions is a subconscious cognitive process vital to human
communication. This skill enables anticipation and increases the quality of
interactions between humans. Within the context of engagement, non-verbal
signals are used to communicate the intention of starting the interaction with
a partner. In ... | computer science |
39,009 | Image patch analysis of sunspots and active regions. I. Intrinsic
dimension and correlation analysis | cs.CV | The flare-productivity of an active region is observed to be related to its
spatial complexity. Mount Wilson or McIntosh sunspot classifications measure
such complexity but in a categorical way, and may therefore not use all the
information present in the observations. Moreover, such categorical schemes
hinder a system... | computer science |
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