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38,810 | Multi-view Convolutional Neural Networks for 3D Shape Recognition | cs.CV | A longstanding question in computer vision concerns the representation of 3D
shapes for recognition: should 3D shapes be represented with descriptors
operating on their native 3D formats, such as voxel grid or polygon mesh, or
can they be effectively represented with view-based descriptors? We address
this question in ... | computer science |
38,811 | Visual Summary of Egocentric Photostreams by Representative Keyframes | cs.CV | Building a visual summary from an egocentric photostream captured by a
lifelogging wearable camera is of high interest for different applications
(e.g. memory reinforcement). In this paper, we propose a new summarization
method based on keyframes selection that uses visual features extracted by
means of a convolutional... | computer science |
38,812 | Comparing persistence diagrams through complex vectors | math.AT | The natural pseudo-distance of spaces endowed with filtering functions is
precious for shape classification and retrieval; its optimal estimate coming
from persistence diagrams is the bottleneck distance, which unfortunately
suffers from combinatorial explosion. A possible algebraic representation of
persistence diagra... | computer science |
38,813 | Filter characteristics in image decomposition with singular spectrum
analysis | cs.CV | Singular spectrum analysis is developed as a nonparametric spectral
decomposition of a time series. It can be easily extended to the decomposition
of multidimensional lattice-like data through the filtering interpretation. In
this viewpoint, the singular spectrum analysis can be understood as the
adaptive and optimal g... | computer science |
38,814 | Jointly Modeling Embedding and Translation to Bridge Video and Language | cs.CV | Automatically describing video content with natural language is a fundamental
challenge of multimedia. Recurrent Neural Networks (RNN), which models sequence
dynamics, has attracted increasing attention on visual interpretation. However,
most existing approaches generate a word locally with given previous words and
the... | computer science |
38,815 | The structure of optimal parameters for image restoration problems | math.OC | We study the qualitative properties of optimal regularisation parameters in
variational models for image restoration. The parameters are solutions of
bilevel optimisation problems with the image restoration problem as constraint.
A general type of regulariser is considered, which encompasses total variation
(TV), total... | computer science |
38,816 | Bilevel approaches for learning of variational imaging models | math.OC | We review some recent learning approaches in variational imaging, based on
bilevel optimisation, and emphasize the importance of their treatment in
function space. The paper covers both analytical and numerical techniques.
Analytically, we include results on the existence and structure of minimisers,
as well as optimal... | computer science |
38,817 | A new Level-set based Protocol for Accurate Bone Segmentation from CT
Imaging | cs.CV | In this work it is proposed a medical image segmentation pipeline for
accurate bone segmentation from CT imaging. It is a two-step methodology, with
a pre-segmentation step and a segmentation refinement step. First, the user
performs a rough segmenting of the desired region of interest. Next, a fully
automatic refineme... | computer science |
38,818 | COROLA: A Sequential Solution to Moving Object Detection Using Low-rank
Approximation | cs.CV | Extracting moving objects from a video sequence and estimating the background
of each individual image are fundamental issues in many practical applications
such as visual surveillance, intelligent vehicle navigation, and traffic
monitoring. Recently, some methods have been proposed to detect moving objects
in a video ... | computer science |
38,819 | Task-Based Optimization of Computed Tomography Imaging Systems | cs.CV | The goal of this thesis is to provide a framework for the use of task-based
metrics of image quality to aid in the design, implementation, and evaluation
of CT image reconstruction algorithms and CT systems in general. We support the
view that task-based metrics of image quality can be useful in guiding the
algorithm d... | computer science |
38,820 | Place Recognition with Event-based Cameras and a Neural Implementation
of SeqSLAM | cs.RO | Event-based cameras offer much potential to the fields of robotics and
computer vision, in part due to their large dynamic range and extremely high
"frame rates". These attributes make them, at least in theory, particularly
suitable for enabling tasks like navigation and mapping on high speed robotic
platforms under ch... | computer science |
38,821 | Joint Representation Classification for Collective Face Recognition | cs.CV | Sparse representation based classification (SRC) is popularly used in many
applications such as face recognition, and implemented in two steps:
representation coding and classification. For a given set of testing images,
SRC codes every image over the base images as a sparse representation then
classifies it to the cla... | computer science |
38,822 | Convective regularization for optical flow | math.OC | We argue that the time derivative in a fixed coordinate frame may not be the
most appropriate measure of time regularity of an optical flow field. Instead,
for a given velocity field $v$ we consider the convective acceleration $v_t +
\nabla v v$ which describes the acceleration of objects moving according to
$v$. Conse... | computer science |
38,823 | Image aesthetic evaluation using paralleled deep convolution neural
network | cs.CV | Image aesthetic evaluation has attracted much attention in recent years.
Image aesthetic evaluation methods heavily depend on the effective aesthetic
feature. Traditional meth-ods always extract hand-crafted features. However,
these hand-crafted features are always designed to adapt particu-lar datasets,
and extraction... | computer science |
38,824 | Benchmarking KAZE and MCM for Multiclass Classification | cs.CV | In this paper, we propose a novel approach for feature generation by
appropriately fusing KAZE and SIFT features. We then use this feature set along
with Minimal Complexity Machine(MCM) for object classification. We show that
KAZE and SIFT features are complementary. Experimental results indicate that an
elementary int... | computer science |
38,825 | Graph edit distance : a new binary linear programming formulation | cs.DS | Graph edit distance (GED) is a powerful and flexible graph matching paradigm
that can be used to address different tasks in structural pattern recognition,
machine learning, and data mining. In this paper, some new binary linear
programming formulations for computing the exact GED between two graphs are
proposed. A maj... | computer science |
38,826 | GazeDPM: Early Integration of Gaze Information in Deformable Part Models | cs.CV | An increasing number of works explore collaborative human-computer systems in
which human gaze is used to enhance computer vision systems. For object
detection these efforts were so far restricted to late integration approaches
that have inherent limitations, such as increased precision without increase in
recall. We p... | computer science |
38,827 | Machine learning based data mining for Milky Way filamentary structures
reconstruction | cs.CV | We present an innovative method called FilExSeC (Filaments Extraction,
Selection and Classification), a data mining tool developed to investigate the
possibility to refine and optimize the shape reconstruction of filamentary
structures detected with a consolidated method based on the flux derivative
analysis, through t... | computer science |
38,828 | New characterizations of minimum spanning trees and of saliency maps
based on quasi-flat zones | cs.CV | We study three representations of hierarchies of partitions: dendrograms
(direct representations), saliency maps, and minimum spanning trees. We provide
a new bijection between saliency maps and hierarchies based on quasi-flat zones
as used in image processing and characterize saliency maps and minimum spanning
trees a... | computer science |
38,829 | Invertible Orientation Scores of 3D Images | math.NA | The enhancement and detection of elongated structures in noisy image data is
relevant for many biomedical applications. To handle complex crossing
structures in 2D images, 2D orientation scores were introduced, which already
showed their use in a variety of applications. Here we extend this work to 3D
orientation score... | computer science |
38,830 | Research on the fast Fourier transform of image based on GPU | cs.MS | Study of general purpose computation by GPU (Graphics Processing Unit) can
improve the image processing capability of micro-computer system. This paper
studies the parallelism of the different stages of decimation in time radix 2
FFT algorithm, designs the butterfly and scramble kernels and implements 2D FFT
on GPU. Th... | computer science |
38,831 | General Deformations of Point Configurations Viewed By a Pinhole Model
Camera | cs.CV | This paper is a theoretical study of the following Non-Rigid Structure from
Motion problem. What can be computed from a monocular view of a parametrically
deforming set of points? We treat various variations of this problem for affine
and polynomial deformations with calibrated and uncalibrated cameras. We show
that in... | computer science |
38,832 | Geometry of Graph Edit Distance Spaces | cs.CV | In this paper we study the geometry of graph spaces endowed with a special
class of graph edit distances. The focus is on geometrical results useful for
statistical pattern recognition. The main result is the Graph Representation
Theorem. It states that a graph is a point in some geometrical space, called
orbit space. ... | computer science |
38,833 | Large-Scale Electron Microscopy Image Segmentation in Spark | cs.CV | The emerging field of connectomics aims to unlock the mysteries of the brain
by understanding the connectivity between neurons. To map this connectivity, we
acquire thousands of electron microscopy (EM) images with nanometer-scale
resolution. After aligning these images, the resulting dataset has the
potential to revea... | computer science |
38,834 | Extended Object Tracking: Introduction, Overview and Applications | cs.CV | This article provides an elaborate overview of current research in extended
object tracking. We provide a clear definition of the extended object tracking
problem and discuss its delimitation to other types of object tracking. Next,
different aspects of extended object modelling are extensively discussed.
Subsequently,... | computer science |
38,835 | Direct Visual Odometry using Bit-Planes | cs.RO | Feature descriptors, such as SIFT and ORB, are well-known for their
robustness to illumination changes, which has made them popular for
feature-based VSLAM\@. However, in degraded imaging conditions such as low
light, low texture, blur and specular reflections, feature extraction is often
unreliable. In contrast, direc... | computer science |
38,836 | RGBD Datasets: Past, Present and Future | cs.CV | Since the launch of the Microsoft Kinect, scores of RGBD datasets have been
released. These have propelled advances in areas from reconstruction to gesture
recognition. In this paper we explore the field, reviewing datasets across
eight categories: semantics, object pose estimation, camera tracking, scene
reconstructio... | computer science |
38,837 | BundleFusion: Real-time Globally Consistent 3D Reconstruction using
On-the-fly Surface Re-integration | cs.GR | Real-time, high-quality, 3D scanning of large-scale scenes is key to mixed
reality and robotic applications. However, scalability brings challenges of
drift in pose estimation, introducing significant errors in the accumulated
model. Approaches often require hours of offline processing to globally correct
model errors.... | computer science |
38,838 | Cohomology of Cryo-Electron Microscopy | cs.CV | The goal of cryo-electron microscopy (EM) is to reconstruct the 3-dimensional
structure of a molecule from a collection of its 2-dimensional projected
images. In this article, we show that the basic premise of cryo-EM --- patching
together 2-dimensional projections to reconstruct a 3-dimensional object --- is
naturally... | computer science |
38,839 | A Convolutional Neural Network Neutrino Event Classifier | cs.CV | Convolutional neural networks (CNNs) have been widely applied in the computer
vision community to solve complex problems in image recognition and analysis.
We describe an application of the CNN technology to the problem of identifying
particle interactions in sampling calorimeters used commonly in high energy
physics a... | computer science |
38,840 | Fast $(1+ε)$-approximation of the Löwner extremal matrices of
high-dimensional symmetric matrices | cs.CG | Matrix data sets are common nowadays like in biomedical imaging where the
Diffusion Tensor Magnetic Resonance Imaging (DT-MRI) modality produces data
sets of
3D symmetric positive definite matrices anchored at voxel positions capturing
the anisotropic diffusion properties of water molecules in biological tissues.
The... | computer science |
38,841 | Sublabel-Accurate Convex Relaxation of Vectorial Multilabel Energies | cs.CV | Convex relaxations of nonconvex multilabel problems have been demonstrated to
produce superior (provably optimal or near-optimal) solutions to a variety of
classical computer vision problems. Yet, they are of limited practical use as
they require a fine discretization of the label space, entailing a huge demand
in memo... | computer science |
38,842 | Keyboard Based Control of Four Dimensional Rotations | cs.GR | Aiming at applications to the scientific visualization of three dimensional
simulations with time evolution, a keyboard based control method to specify
rotations in four dimensions is proposed. It is known that four dimensional
rotations are generally so-called double rotations, and a double rotation is a
combination o... | computer science |
38,843 | A Semi-Lagrangian two-level preconditioned Newton-Krylov solver for
constrained diffeomorphic image registration | math.OC | We propose an efficient numerical algorithm for the solution of diffeomorphic
image registration problems. We use a variational formulation constrained by a
partial differential equation (PDE), where the constraints are a scalar
transport equation.
We use a pseudospectral discretization in space and second-order accu... | computer science |
38,844 | Infrared Colorization Using Deep Convolutional Neural Networks | cs.CV | This paper proposes a method for transferring the RGB color spectrum to
near-infrared (NIR) images using deep multi-scale convolutional neural
networks. A direct and integrated transfer between NIR and RGB pixels is
trained. The trained model does not require any user guidance or a reference
image database in the recal... | computer science |
38,845 | A method for locally approximating regularized iterative tomographic
reconstruction methods | math.NA | In many applications of tomography, the acquired projections are either
limited in number or contain a significant amount of noise. In these cases,
standard reconstruction methods tend to produce artifacts that can make further
analysis difficult. Advanced regularized iterative methods, such as total
variation minimiza... | computer science |
38,846 | Application of Multifractal Analysis to Segmentation of Water Bodies in
Optical and Synthetic Aperture Radar Satellite Images | cs.CV | A method for segmenting water bodies in optical and synthetic aperture radar
(SAR) satellite images is proposed. It makes use of the textural features of
the different regions in the image for segmentation. The method consists in a
multiscale analysis of the images, which allows us to study the images
regularity both, ... | computer science |
38,847 | Application of the Second-Order Statistics for Estimation of the Pure
Spectra of Individual Components from the Visible Hyperspectral Images of
Their Mixture | cs.CV | The second-order statistics (SOS) can be applied in estimation of the pure
spectra of chemical components from the spectrum of their mixture, when SOS
seems to be good at estimation of spectral patterns, but their peak directions
are opposite in some cases. In this paper, one method for judgment of the peak
direction o... | computer science |
38,848 | Sweep Distortion Removal from THz Images via Blind Demodulation | cs.CV | Heavy sweep distortion induced by alignments and inter-reflections of layers
of a sample is a major burden in recovering 2D and 3D information in time
resolved spectral imaging. This problem cannot be addressed by conventional
denoising and signal processing techniques as it heavily depends on the physics
of the acquis... | computer science |
38,849 | From Pixels to Sentiment: Fine-tuning CNNs for Visual Sentiment
Prediction | cs.CV | Visual multimedia have become an inseparable part of our digital social
lives, and they often capture moments tied with deep affections. Automated
visual sentiment analysis tools can provide a means of extracting the rich
feelings and latent dispositions embedded in these media. In this work, we
explore how Convolution... | computer science |
38,850 | Quantifying mesoscale neuroanatomy using X-ray microtomography | cs.CV | Methods for resolving the 3D microstructure of the brain typically start by
thinly slicing and staining the brain, and then imaging each individual section
with visible light photons or electrons. In contrast, X-rays can be used to
image thick samples, providing a rapid approach for producing large 3D brain
maps withou... | computer science |
38,851 | DENSER Cities: A System for Dense Efficient Reconstructions of Cities | cs.CV | This paper is about the efficient generation of dense, colored models of
city-scale environments from range data and in particular, stereo cameras.
Better maps make for better understanding; better understanding leads to better
robots, but this comes at a cost. The computational and memory requirements of
large dense m... | computer science |
38,852 | VConv-DAE: Deep Volumetric Shape Learning Without Object Labels | cs.CV | With the advent of affordable depth sensors, 3D capture becomes more and more
ubiquitous and already has made its way into commercial products. Yet,
capturing the geometry or complete shapes of everyday objects using scanning
devices (e.g. Kinect) still comes with several challenges that result in noise
or even incompl... | computer science |
38,853 | On Reducing the Number of Visual Words in the Bag-of-Features
Representation | cs.CV | A new class of applications based on visual search engines are emerging,
especially on smart-phones that have evolved into powerful tools for processing
images and videos. The state-of-the-art algorithms for large visual content
recognition and content based similarity search today use the "Bag of Features"
(BoF) or "B... | computer science |
38,854 | Bags of Local Convolutional Features for Scalable Instance Search | cs.CV | This work proposes a simple instance retrieval pipeline based on encoding the
convolutional features of CNN using the bag of words aggregation scheme (BoW).
Assigning each local array of activations in a convolutional layer to a visual
word produces an \textit{assignment map}, a compact representation that relates
regi... | computer science |
38,855 | Improving Raw Image Storage Efficiency by Exploiting Similarity | cs.DC | To improve the temporal and spatial storage efficiency, researchers have
intensively studied various techniques, including compression and
deduplication. Through our evaluation, we find that methods such as photo tags
or local features help to identify the content-based similar- ity between raw
images. The images can t... | computer science |
38,856 | Using Apache Lucene to Search Vector of Locally Aggregated Descriptors | cs.CV | Surrogate Text Representation (STR) is a profitable solution to efficient
similarity search on metric space using conventional text search engines, such
as Apache Lucene. This technique is based on comparing the permutations of some
reference objects in place of the original metric distance. However, the
Achilles heel ... | computer science |
38,857 | Sherlock: Sparse Hierarchical Embeddings for Visually-aware One-class
Collaborative Filtering | cs.IR | Building successful recommender systems requires uncovering the underlying
dimensions that describe the properties of items as well as users' preferences
toward them. In domains like clothing recommendation, explaining users'
preferences requires modeling the visual appearance of the items in question.
This makes recom... | computer science |
38,858 | Incremental Reconstruction of Urban Environments by Edge-Points Delaunay
Triangulation | cs.CV | Urban reconstruction from a video captured by a surveying vehicle constitutes
a core module of automated mapping. When computational power represents a
limited resource and, a detailed map is not the primary goal, the
reconstruction can be performed incrementally, from a monocular video, carving
a 3D Delaunay triangula... | computer science |
38,859 | Visual Congruent Ads for Image Search | cs.CV | The quality of user experience online is affected by the relevance and
placement of advertisements. We propose a new system for selecting and
displaying visual advertisements in image search result sets. Our method
compares the visual similarity of candidate ads to the image search results and
selects the most visually... | computer science |
38,860 | Humans and deep networks largely agree on which kinds of variation make
object recognition harder | cs.CV | View-invariant object recognition is a challenging problem, which has
attracted much attention among the psychology, neuroscience, and computer
vision communities. Humans are notoriously good at it, even if some variations
are presumably more difficult to handle than others (e.g. 3D rotations). Humans
are thought to so... | computer science |
38,861 | Modeling the Contribution of Central Versus Peripheral Vision in Scene,
Object, and Face Recognition | cs.CV | It is commonly believed that the central visual field is important for
recognizing objects and faces, and the peripheral region is useful for scene
recognition. However, the relative importance of central versus peripheral
information for object, scene, and face recognition is unclear. In a behavioral
study, Larson and... | computer science |
38,862 | $\ell_p$-Box ADMM: A Versatile Framework for Integer Programming | cs.CV | This paper revisits the integer programming (IP) problem, which plays a
fundamental role in many computer vision and machine learning applications. The
literature abounds with many seminal works that address this problem, some
focusing on continuous approaches (e.g. linear program relaxation) while others
on discrete o... | computer science |
38,863 | EgoSampling: Wide View Hyperlapse from Egocentric Videos | cs.CV | The possibility of sharing one's point of view makes use of wearable cameras
compelling. These videos are often long, boring and coupled with extreme shake,
as the camera is worn on a moving person. Fast forwarding (i.e. frame sampling)
is a natural choice for quick video browsing. However, this accentuates the
shake c... | computer science |
38,864 | Compressive phase-only filtering at extreme compression rates | cs.CV | We introduce an efficient method for the reconstruction of the correlation
between a compressively measured image and a phase-only filter. The proposed
method is based on two properties of phase-only filtering: such filtering is a
unitary circulant transform, and the correlation plane it produces is usually
sparse. Tha... | computer science |
38,865 | Are Face and Object Recognition Independent? A Neurocomputational
Modeling Exploration | cs.CV | Are face and object recognition abilities independent? Although it is
commonly believed that they are, Gauthier et al.(2014) recently showed that
these abilities become more correlated as experience with nonface categories
increases. They argued that there is a single underlying visual ability, v,
that is expressed in ... | computer science |
38,866 | Detecting Violence in Video using Subclasses | cs.MM | This paper attacks the challenging problem of violence detection in videos.
Different from existing works focusing on combining multi-modal features, we go
one step further by adding and exploiting subclasses visually related to
violence. We enrich the MediaEval 2015 violence dataset by \emph{manually}
labeling violenc... | computer science |
38,867 | A Novel Method to Study Bottom-up Visual Saliency and its Neural
Mechanism | cs.CV | In this study, we propose a novel method to measure bottom-up saliency maps
of natural images. In order to eliminate the influence of top-down signals,
backward masking is used to make stimuli (natural images) subjectively
invisible to subjects, however, the bottom-up saliency can still orient the
subjects attention. T... | computer science |
38,868 | A 8 bits Pipeline Analog to Digital Converter Design for High Speed
Camera Application | cs.RO | - This paper describes a pipeline analog-to-digital converter is implemented
for high speed camera. In the pipeline ADC design, prime factor is designing
operational amplifier with high gain so ADC have been high speed. The other
advantage of pipeline is simple on concept, easy to implement in layout and
have flexibili... | computer science |
38,869 | Design and Implementation a 8 bits Pipeline Analog to Digital Converter
in the Technology 0.6 μm CMOS Process | cs.RO | This paper describes a 8 bits, 20 Msamples/s pipeline analog-to-digital
converter implemented in 0.6 \mu m CMOS technology with a total power
dissipation of 75.47 mW. Circuit techniques used include a precise comparator,
operational amplifier and clock management. A switched capacitor is used to
sample and multiplying ... | computer science |
38,870 | Fully Automatic Expression-Invariant Face Correspondence | cs.CV | We consider the problem of computing accurate point-to-point correspondences
among a set of human face scans with varying expressions. Our fully automatic
approach does not require any manually placed markers on the scan. Instead, the
approach learns the locations of a set of landmarks present in a database and
uses th... | computer science |
38,871 | Robust seed selection algorithm for k-means type algorithms | cs.CV | Selection of initial seeds greatly affects the quality of the clusters and in
k-means type algorithms. Most of the seed selection methods result different
results in different independent runs. We propose a single, optimal, outlier
insensitive seed selection algorithm for k-means type algorithms as extension
to k-means... | computer science |
38,872 | Efficient Web-based Facial Recognition System Employing 2DHOG | cs.CV | In this paper, a system for facial recognition to identify missing and found
people in Hajj and Umrah is described as a web portal. Explicitly, we present a
novel algorithm for recognition and classifications of facial images based on
applying 2DPCA to a 2D representation of the Histogram of oriented gradients
(2D-HOG)... | computer science |
38,873 | Real-time detection and tracking of multiple objects with partial
decoding in H.264/AVC bitstream domain | cs.MM | In this paper, we show that we can apply probabilistic spatiotemporal
macroblock filtering (PSMF) and partial decoding processes to effectively
detect and track multiple objects in real time in H.264|AVC bitstreams with
stationary background. Our contribution is that our method cannot only show
fast processing time but... | computer science |
38,874 | Multilevel Image Encryption | cs.CR | With the fast evolution of digital data exchange and increased usage of multi
media images, it is essential to protect the confidential image data from
unauthorized access. In natural images the values and position of the
neighbouring pixels are strongly correlated. The method proposed in this paper,
breaks this correl... | computer science |
38,875 | A new hybrid jpeg image compression scheme using symbol reduction
technique | cs.MM | Lossy JPEG compression is a widely used compression technique. Normally the
JPEG standard technique uses three process mapping reduces interpixel
redundancy, quantization, which is lossy process and entropy encoding, which is
considered lossless process. In this paper, a new technique has been proposed
by combining the... | computer science |
38,876 | Divide-and-Conquer Method for L1 Norm Matrix Factorization in the
Presence of Outliers and Missing Data | cs.NA | The low-rank matrix factorization as a L1 norm minimization problem has
recently attracted much attention due to its intrinsic robustness to the
presence of outliers and missing data. In this paper, we propose a new method,
called the divide-and-conquer method, for solving this problem. The main idea
is to break the or... | computer science |
38,877 | Eye Pupil Location Using Webcam | cs.HC | Three different algorithms used for eye pupil location were described and
tested. Algorithm efficiency comparison was based on human faces images taken
from the BioID database. Moreover all the eye localisation methods were
implemented in a dedicated application supporting eye movement based computer
control. In this c... | computer science |
38,878 | Comments on "On Approximating Euclidean Metrics by Weighted t-Cost
Distances in Arbitrary Dimension" | cs.NA | Mukherjee (Pattern Recognition Letters, vol. 32, pp. 824-831, 2011) recently
introduced a class of distance functions called weighted t-cost distances that
generalize m-neighbor, octagonal, and t-cost distances. He proved that weighted
t-cost distances form a family of metrics and derived an approximation for the
Eucli... | computer science |
38,879 | Revolvable Indoor Panoramas Using a Rectified Azimuthal Projection | cs.CV | We present an algorithm for converting an indoor spherical panorama into a
photograph with a simulated overhead view. The resulting image will have an
extremely wide field of view covering up to 4{\pi} steradians of the spherical
panorama. We argue that our method complements the stereographic projection
commonly used ... | computer science |
38,880 | The Ultrasound Visualization Pipeline - A Survey | cs.GR | Ultrasound is one of the most frequently used imaging modality in medicine.
The high spatial resolution, its interactive nature and non-invasiveness makes
it the first choice in many examinations. Image interpretation is one of
ultrasound's main challenges. Much training is required to obtain a confident
skill level in... | computer science |
38,881 | The Stability of Convergence of Curve Evolutions in Vector Fields | cs.CV | Curve evolution is often used to solve computer vision problems. If the curve
evolution fails to converge, we would not be able to solve the targeted problem
in a lifetime. This paper studies the theoretical aspect of the convergence of
a type of general curve evolutions. We establish a theory for analyzing and
improvi... | computer science |
38,882 | Joint Reconstruction of Multi-view Compressed Images | cs.MM | The distributed representation of correlated multi-view images is an
important problem that arise in vision sensor networks. This paper concentrates
on the joint reconstruction problem where the distributively compressed
correlated images are jointly decoded in order to improve the reconstruction
quality of all the com... | computer science |
38,883 | Dynamic Domain Classification for Fractal Image Compression | cs.CV | Fractal image compression is attractive except for its high encoding time
requirements. The image is encoded as a set of contractive affine
transformations. The image is partitioned into non-overlapping range blocks,
and a best matching domain block larger than the range block is identified.
There are many attempts on ... | computer science |
38,884 | Investigation of Color Constancy for Ubiquitous Wireless LAN/Camera
Positioning: An Initial Outcome | cs.CV | This paper present our color constancy investigation in the hybridization of
Wireless LAN and Camera positioning in the mobile phone. Five typical color
constancy schemes are analyzed in different location environment. The results
can be used to combine with RF signals from Wireless LAN positioning by using
model fitti... | computer science |
38,885 | Secure voice based authentication for mobile devices: Vaulted Voice
Verification | cs.CR | As the use of biometrics becomes more wide-spread, the privacy concerns that
stem from the use of biometrics are becoming more apparent. As the usage of
mobile devices grows, so does the desire to implement biometric identification
into such devices. A large majority of mobile devices being used are mobile
phones. Whil... | computer science |
38,886 | A Topological Code for Plane Images | cs.CV | It is proposed a new code for contours of plane images. This code was applied
for optical character recognition of printed and handwritten characters. One
can apply it to recognition of any visual images. | computer science |
38,887 | Self Authentication of image through Daubechies Transform technique
(SADT) | cs.CR | In this paper a 4 x 4 Daubechies transform based authentication technique
termed as SADT has been proposed to authenticate gray scale images. The cover
image is transformed into the frequency domain using 4 x 4 mask in a row major
order using Daubechies transform technique, resulting four frequency subbands
AF, HF, VF ... | computer science |
38,888 | Multi-target tracking algorithms in 3D | cs.CV | Ladars provide a unique capability for identification of objects and motions
in scenes with fixed 3D field of view (FOV). This paper describes algorithms
for multi-target tracking in 3D scenes including the preprocessing
(mathematical morphology and Parzen windows), labeling of connected components,
sorting of targets ... | computer science |
38,889 | Approximating rational Bezier curves by constrained Bezier curves of
arbitrary degree | math.NA | In this paper, we propose a method to obtain a constrained approximation of a
rational B\'{e}zier curve by a polynomial B\'{e}zier curve. This problem is
reformulated as an approximation problem between two polynomial B\'{e}zier
curves based on weighted least-squares method, where weight functions
$\rho(t)=\omega(t)$ a... | computer science |
38,890 | Sketch-to-Design: Context-based Part Assembly | cs.GR | Designing 3D objects from scratch is difficult, especially when the user
intent is fuzzy without a clear target form. In the spirit of
modeling-by-example, we facilitate design by providing reference and
inspiration from existing model contexts. We rethink model design as navigating
through different possible combinati... | computer science |
38,891 | Automatic landmark annotation and dense correspondence registration for
3D human facial images | cs.CV | Dense surface registration of three-dimensional (3D) human facial images
holds great potential for studies of human trait diversity, disease genetics,
and forensics. Non-rigid registration is particularly useful for establishing
dense anatomical correspondences between faces. Here we describe a novel
non-rigid registra... | computer science |
38,892 | In Vivo Quantification of Clot Formation in Extracorporeal Circuits | cs.CV | Clot formation is a common complication in extracorporeal circuits. In this
paper we describe a novel method for clot formation analysis using image
processing. We assembled a closed extracorporeal circuit and circulated blood
at varying speeds. Blood filters were placed in downstream of the flow, and
clotting agents w... | computer science |
38,893 | Blinking Molecule Tracking | cs.CV | We discuss a method for tracking individual molecules which globally
optimizes the likelihood of the connections between molecule positions fast and
with high reliability even for high spot densities and blinking molecules. Our
method works with cost functions which can be freely chosen to combine costs
for distances b... | computer science |
38,894 | High Quality Image Interpolation via Local Autoregressive and Nonlocal
3-D Sparse Regularization | cs.MM | In this paper, we propose a novel image interpolation algorithm, which is
formulated via combining both the local autoregressive (AR) model and the
nonlocal adaptive 3-D sparse model as regularized constraints under the
regularization framework. Estimating the high-resolution image by the local AR
regularization is dif... | computer science |
38,895 | Correcting Camera Shake by Incremental Sparse Approximation | cs.CV | The problem of deblurring an image when the blur kernel is unknown remains
challenging after decades of work. Recently there has been rapid progress on
correcting irregular blur patterns caused by camera shake, but there is still
much room for improvement. We propose a new blind deconvolution method using
incremental s... | computer science |
38,896 | Cloud Computing framework for Computer Vision Research:An Introduction | cs.CV | Cloud computing offers the potential to help scientists to process massive
number of computing resources often required in machine learning application
such as computer vision problems. This proposal would like to show that which
benefits can be obtained from cloud in order to help medical image analysis
users (includi... | computer science |
38,897 | Eye-GUIDE (Eye-Gaze User Interface Design) Messaging for
Physically-Impaired People | cs.HC | Eye-GUIDE is an assistive communication tool designed for the paralyzed or
physically impaired people who were unable to move parts of their bodies
especially people whose communications are limited only to eye movements. The
prototype consists of a camera and a computer. Camera captures images then it
will be send to ... | computer science |
38,898 | An Analysis of Gene Expression Data using Penalized Fuzzy C-Means
Approach | cs.CV | With the rapid advances of microarray technologies, large amounts of
high-dimensional gene expression data are being generated, which poses
significant computational challenges. A first step towards addressing this
challenge is the use of clustering techniques, which is essential in the data
mining process to reveal na... | computer science |
38,899 | A Fresnelet-Based Encryption of Medical Images using Arnold Transform | cs.CR | Medical images are commonly stored in digital media and transmitted via
Internet for certain uses. If a medical information image alters, this can lead
to a wrong diagnosis which may create a serious health problem. Moreover,
medical images in digital form can easily be modified by wiping off or adding
small pieces of ... | computer science |
38,900 | Unsupervised edge map scoring: a statistical complexity approach | cs.CV | We propose a new Statistical Complexity Measure (SCM) to qualify edge maps
without Ground Truth (GT) knowledge. The measure is the product of two indices,
an \emph{Equilibrium} index $\mathcal{E}$ obtained by projecting the edge map
into a family of edge patterns, and an \emph{Entropy} index $\mathcal{H}$,
defined as a... | computer science |
38,901 | Image Compression By Embedding Five Modulus Method Into JPEG | cs.CV | The standard JPEG format is almost the optimum format in image compression.
The compression ratio in JPEG sometimes reaches 30:1. The compression ratio of
JPEG could be increased by embedding the Five Modulus Method (FMM) into the
JPEG algorithm. The novel algorithm gives twice the time as the standard JPEG
algorithm o... | computer science |
38,902 | Video Segmentation via Diffusion Bases | cs.CV | Identifying moving objects in a video sequence, which is produced by a static
camera, is a fundamental and critical task in many computer-vision
applications. A common approach performs background subtraction, which
identifies moving objects as the portion of a video frame that differs
significantly from a background m... | computer science |
38,903 | A Convex Functional for Image Denoising based on Patches with
Constrained Overlaps and its vectorial application to Low Dose Differential
Phase Tomography | math.NA | We solve the image denoising problem with a dictionary learning technique by
writing a convex functional of a new form. This functional contains beside the
usual sparsity inducing term and fidelity term, a new term which induces
similarity between overlapping patches in the overlap regions. The functional
depends on tw... | computer science |
38,904 | GReTA - a novel Global and Recursive Tracking Algorithm in three
dimensions | cs.CV | Tracking multiple moving targets allows quantitative measure of the dynamic
behavior in systems as diverse as animal groups in biology, turbulence in fluid
dynamics and crowd and traffic control. In three dimensions, tracking several
targets becomes increasingly hard since optical occlusions are very likely,
i.e. two f... | computer science |
38,905 | An Adaptive Statistical Non-uniform Quantizer for Detail Wavelet
Components in Lossy JPEG2000 Image Compression | cs.MM | The paper presents a non-uniform quantization method for the Detail
components in the JPEG2000 standard. Incorporating the fact that the
coefficients lying towards the ends of the histogram plot of each Detail
component represent the structural information of an image, the quantization
step sizes become smaller at they... | computer science |
38,906 | Early Detection of Alzheimer's - A Crucial Requirement | cs.CV | Alzheimer's, an old age disease of people over 65 years causes problems with
memory, thinking and behavior. This disease progresses very slow and its
identification in early stages is very difficult. The symptoms of Alzheimer's
appear slowly and gradually will have worse effects. In its early stages, not
only the patie... | computer science |
38,907 | Multi-q Pattern Classification of Polarization Curves | cs.CE | Several experimental measurements are expressed in the form of
one-dimensional profiles, for which there is a scarcity of methodologies able
to classify the pertinence of a given result to a specific group. The
polarization curves that evaluate the corrosion kinetics of electrodes in
corrosive media are an application ... | computer science |
38,908 | Fast Linearized Alternating Direction Minimization Algorithm with
Adaptive Parameter Selection for Multiplicative Noise Removal | cs.CV | Owing to the edge preserving ability and low computational cost of the total
variation (TV), variational models with the TV regularization have been widely
investigated in the field of multiplicative noise removal. The key points of
the successful application of these models lie in: the optimal selection of the
regular... | computer science |
38,909 | Geometric primitive feature extraction - concepts, algorithms, and
applications | cs.CV | This thesis presents important insights and concepts related to the topic of
the extraction of geometric primitives from the edge contours of digital
images. Three specific problems related to this topic have been studied, viz.,
polygonal approximation of digital curves, tangent estimation of digital
curves, and ellips... | computer science |
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