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4,000 | Space and camera path reconstruction for omni-directional vision | cs.CV | In this paper, we address the inverse problem of reconstructing a scene as
well as the camera motion from the image sequence taken by an omni-directional
camera. Our structure from motion results give sharp conditions under which the
reconstruction is unique. For example, if there are three points in general
position a... | computer science |
4,001 | A New Approach to Automated Epileptic Diagnosis Using EEG and
Probabilistic Neural Network | cs.AI | Epilepsy is one of the most common neurological disorders that greatly impair
patient' daily lives. Traditional epileptic diagnosis relies on tedious visual
screening by neurologists from lengthy EEG recording that requires the presence
of seizure (ictal) activities. Nowadays, there are many systems helping the
neurolo... | computer science |
4,002 | Evaluation for Uncertain Image Classification and Segmentation | cs.CV | Each year, numerous segmentation and classification algorithms are invented
or reused to solve problems where machine vision is needed. Generally, the
efficiency of these algorithms is compared against the results given by one or
many human experts. However, in many situations, the location of the real
boundaries of th... | computer science |
4,003 | Human expert fusion for image classification | cs.CV | In image classification, merging the opinion of several human experts is very
important for different tasks such as the evaluation or the training. Indeed,
the ground truth is rarely known before the scene imaging. We propose here
different models in order to fuse the informations given by two or more
experts. The cons... | computer science |
4,004 | Fusion de classifieurs pour la classification d'images sonar | cs.CV | In this paper, we present some high level information fusion approaches for
numeric and symbolic data. We study the interest of such method particularly
for classifier fusion. A comparative study is made in a context of sea bed
characterization from sonar images. The classi- fication of kind of sediment is
a difficult ... | computer science |
4,005 | Experts Fusion and Multilayer Perceptron Based on Belief Learning for
Sonar Image Classification | cs.CV | The sonar images provide a rapid view of the seabed in order to characterize
it. However, in such as uncertain environment, real seabed is unknown and the
only information we can obtain, is the interpretation of different human
experts, sometimes in conflict. In this paper, we propose to manage this
conflict in order t... | computer science |
4,006 | Generalized proportional conflict redistribution rule applied to Sonar
imagery and Radar targets classification | cs.CV | In this chapter, we present two applications in information fusion in order
to evaluate the generalized proportional conflict redistribution rule presented
in the chapter \cite{Martin06a}. Most of the time the combination rules are
evaluated only on simple examples. We study here different combination rules
and compare... | computer science |
4,007 | An Image-Based Sensor System for Autonomous Rendez-Vous with
Uncooperative Satellites | cs.CV | In this paper are described the image processing algorithms developed by
SENER, Ingenieria y Sistemas to cope with the problem of image-based,
autonomous rendez-vous (RV) with an orbiting satellite. The methods developed
have a direct application in the OLEV (Orbital Life Extension Extension
Vehicle) mission. OLEV is a... | computer science |
4,008 | Are Tensor Decomposition Solutions Unique? On the global convergence of
HOSVD and ParaFac algorithms | cs.CV | For tensor decompositions such as HOSVD and ParaFac, the objective functions
are nonconvex. This implies, theoretically, there exists a large number of
local optimas: starting from different starting point, the iteratively improved
solution will converge to different local solutions. This non-uniqueness
present a stabi... | computer science |
4,009 | Automated Epilepsy Diagnosis Using Interictal Scalp EEG | cs.AI | Approximately over 50 million people worldwide suffer from epilepsy.
Traditional diagnosis of epilepsy relies on tedious visual screening by highly
trained clinicians from lengthy EEG recording that contains the presence of
seizure (ictal) activities. Nowadays, there are many automatic systems that can
recognize seizur... | computer science |
4,010 | Face Recognition by Fusion of Local and Global Matching Scores using DS
Theory: An Evaluation with Uni-classifier and Multi-classifier Paradigm | cs.CV | Faces are highly deformable objects which may easily change their appearance
over time. Not all face areas are subject to the same variability. Therefore
decoupling the information from independent areas of the face is of paramount
importance to improve the robustness of any face recognition technique. This
paper prese... | computer science |
4,011 | Face Identification by SIFT-based Complete Graph Topology | cs.CV | This paper presents a new face identification system based on Graph Matching
Technique on SIFT features extracted from face images. Although SIFT features
have been successfully used for general object detection and recognition, only
recently they were applied to face recognition. This paper further investigates
the pe... | computer science |
4,012 | SIFT-based Ear Recognition by Fusion of Detected Keypoints from Color
Similarity Slice Regions | cs.CV | Ear biometric is considered as one of the most reliable and invariant
biometrics characteristics in line with iris and fingerprint characteristics.
In many cases, ear biometrics can be compared with face biometrics regarding
many physiological and texture characteristics. In this paper, a robust and
efficient ear recog... | computer science |
4,013 | Feature Level Fusion of Biometrics Cues: Human Identification with
Doddingtons Caricature | cs.CV | This paper presents a multimodal biometric system of fingerprint and ear
biometrics. Scale Invariant Feature Transform (SIFT) descriptor based feature
sets extracted from fingerprint and ear are fused. The fused set is encoded by
K-medoids partitioning approach with less number of feature points in the set.
K-medoids p... | computer science |
4,014 | Feature Level Fusion of Face and Fingerprint Biometrics | cs.CV | The aim of this paper is to study the fusion at feature extraction level for
face and fingerprint biometrics. The proposed approach is based on the fusion
of the two traits by extracting independent feature pointsets from the two
modalities, and making the two pointsets compatible for concatenation.
Moreover, to handle... | computer science |
4,015 | Multibiometrics Belief Fusion | cs.CV | This paper proposes a multimodal biometric system through Gaussian Mixture
Model (GMM) for face and ear biometrics with belief fusion of the estimated
scores characterized by Gabor responses and the proposed fusion is accomplished
by Dempster-Shafer (DS) decision theory. Face and ear images are convolved with
Gabor wav... | computer science |
4,016 | Combining Multiple Feature Extraction Techniques for Handwritten
Devnagari Character Recognition | cs.CV | In this paper we present an OCR for Handwritten Devnagari Characters. Basic
symbols are recognized by neural classifier. We have used four feature
extraction techniques namely, intersection, shadow feature, chain code
histogram and straight line fitting features. Shadow features are computed
globally for character imag... | computer science |
4,017 | Feature Selection via Sparse Approximation for Face Recognition | cs.CV | Inspired by biological vision systems, the over-complete local features with
huge cardinality are increasingly used for face recognition during the last
decades. Accordingly, feature selection has become more and more important and
plays a critical role for face data description and recognition. In this paper,
we propo... | computer science |
4,018 | Multi-task GLOH feature selection for human age estimation | cs.CV | In this paper, we propose a novel age estimation method based on GLOH feature
descriptor and multi-task learning (MTL). The GLOH feature descriptor, one of
the state-of-the-art feature descriptor, is used to capture the age-related
local and spatial information of face image. As the exacted GLOH features are
often redu... | computer science |
4,019 | Identification of arabic word from bilingual text using character
features | cs.AI | The identification of the language of the script is an important stage in the
process of recognition of the writing. There are several works in this research
area, which treat various languages. Most of the used methods are global or
statistical. In this present paper, we study the possibility of using the
features of ... | computer science |
4,020 | Recovering Epipolar Geometry from Images of Smooth Surfaces | cs.CV | We present four methods for recovering the epipolar geometry from images of
smooth surfaces. In the existing methods for recovering epipolar geometry
corresponding feature points are used that cannot be found in such images. The
first method is based on finding corresponding characteristic points created by
illuminatio... | computer science |
4,021 | Vision-Based Navigation III: Pose and Motion from Omnidirectional
Optical Flow and a Digital Terrain Map | cs.CV | An algorithm for pose and motion estimation using corresponding features in
omnidirectional images and a digital terrain map is proposed. In previous
paper, such algorithm for regular camera was considered. Using a Digital
Terrain (or Digital Elevation) Map (DTM/DEM) as a global reference enables
recovering the absolut... | computer science |
4,022 | Gender Recognition Based on Sift Features | cs.AI | This paper proposes a robust approach for face detection and gender
classification in color images. Previous researches about gender recognition
suppose an expensive computational and time-consuming pre-processing step in
order to alignment in which face images are aligned so that facial landmarks
like eyes, nose, lips... | computer science |
4,023 | Generalized Fast Approximate Energy Minimization via Graph Cuts:
Alpha-Expansion Beta-Shrink Moves | cs.CV | We present alpha-expansion beta-shrink moves, a simple generalization of the
widely-used alpha-beta swap and alpha-expansion algorithms for approximate
energy minimization. We show that in a certain sense, these moves dominate both
alpha-beta-swap and alpha-expansion moves, but unlike previous generalizations
the new m... | computer science |
4,024 | Kernel diff-hash | cs.CV | This paper presents a kernel formulation of the recently introduced diff-hash
algorithm for the construction of similarity-sensitive hash functions. Our
kernel diff-hash algorithm that shows superior performance on the problem of
image feature descriptor matching. | computer science |
4,025 | Feature selection using nearest attributes | cs.CV | Feature selection is an important problem in high-dimensional data analysis
and classification. Conventional feature selection approaches focus on
detecting the features based on a redundancy criterion using learning and
feature searching schemes. In contrast, we present an approach that identifies
the need to select f... | computer science |
4,026 | Examplers based image fusion features for face recognition | cs.CV | Examplers of a face are formed from multiple gallery images of a person and
are used in the process of classification of a test image. We incorporate such
examplers in forming a biologically inspired local binary decisions on
similarity based face recognition method. As opposed to single model approaches
such as face a... | computer science |
4,027 | An MLP based Approach for Recognition of Handwritten `Bangla' Numerals | cs.CV | The work presented here involves the design of a Multi Layer Perceptron (MLP)
based pattern classifier for recognition of handwritten Bangla digits using a
76 element feature vector. Bangla is the second most popular script and
language in the Indian subcontinent and the fifth most popular language in the
world. The fe... | computer science |
4,028 | Handwritten Bangla Alphabet Recognition using an MLP Based Classifier | cs.CV | The work presented here involves the design of a Multi Layer Perceptron (MLP)
based classifier for recognition of handwritten Bangla alphabet using a 76
element feature set Bangla is the second most popular script and language in
the Indian subcontinent and the fifth most popular language in the world. The
feature set ... | computer science |
4,029 | Exact and Approximate Inference in Associative Hierarchical Networks
using Graph Cuts | cs.AI | Markov Networks are widely used through out computer vision and machine
learning. An important subclass are the Associative Markov Networks which are
used in a wide variety of applications. For these networks a good approximate
minimum cost solution can be found efficiently using graph cut based move
making algorithms ... | computer science |
4,030 | Texture Classification Approach Based on Combination of Edge &
Co-occurrence and Local Binary Pattern | cs.CV | Texture classification is one of the problems which has been paid much
attention on by computer scientists since late 90s. If texture classification
is done correctly and accurately, it can be used in many cases such as Pattern
recognition, object tracking, and shape recognition. So far, there have been so
many methods... | computer science |
4,031 | Mouse Simulation Using Two Coloured Tapes | cs.AI | In this paper, we present a novel approach for Human Computer Interaction
(HCI) where, we control cursor movement using a real-time camera. Current
methods involve changing mouse parts such as adding more buttons or changing
the position of the tracking ball. Instead, our method is to use a camera and
computer vision t... | computer science |
4,032 | Clustering and Bayesian network for image of faces classification | cs.CV | In a content based image classification system, target images are sorted by
feature similarities with respect to the query (CBIR). In this paper, we
propose to use new approach combining distance tangent, k-means algorithm and
Bayesian network for image classification. First, we use the technique of
tangent distance to... | computer science |
4,033 | Skin-color based videos categorization | cs.CV | On dedicated websites, people can upload videos and share it with the rest of
the world. Currently these videos are cat- egorized manually by the help of the
user community. In this paper, we propose a combination of color spaces with
the Bayesian network approach for robust detection of skin color followed by an
autom... | computer science |
4,034 | Simultaneous Object Detection, Tracking, and Event Recognition | cs.CV | The common internal structure and algorithmic organization of object
detection, detection-based tracking, and event recognition facilitates a
general approach to integrating these three components. This supports
multidirectional information flow between these components allowing object
detection to influence tracking a... | computer science |
4,035 | Video In Sentences Out | cs.CV | We present a system that produces sentential descriptions of video: who did
what to whom, and where and how they did it. Action class is rendered as a
verb, participant objects as noun phrases, properties of those objects as
adjectival modifiers in those noun phrases,spatial relations between those
participants as prep... | computer science |
4,036 | Large-Scale Automatic Labeling of Video Events with Verbs Based on
Event-Participant Interaction | cs.CV | We present an approach to labeling short video clips with English verbs as
event descriptions. A key distinguishing aspect of this work is that it labels
videos with verbs that describe the spatiotemporal interaction between event
participants, humans and objects interacting with each other, abstracting away
all object... | computer science |
4,037 | Multimodal diffusion geometry by joint diagonalization of Laplacians | cs.CV | We construct an extension of diffusion geometry to multiple modalities
through joint approximate diagonalization of Laplacian matrices. This naturally
extends classical data analysis tools based on spectral geometry, such as
diffusion maps and spectral clustering. We provide several synthetic and real
examples of manif... | computer science |
4,038 | Approximate evaluation of marginal association probabilities with belief
propagation | cs.AI | Data association, the problem of reasoning over correspondence between
targets and measurements, is a fundamental problem in tracking. This paper
presents a graphical model formulation of data association and applies an
approximate inference method, belief propagation (BP), to obtain estimates of
marginal association p... | computer science |
4,039 | Lattice Particle Filters | cs.AI | A standard approach to approximate inference in state-space models isto apply
a particle filter, e.g., the Condensation Algorithm.However, the performance of
particle filters often varies significantlydue to their stochastic nature.We
present a class of algorithms, called lattice particle filters, thatcircumvent
this d... | computer science |
4,040 | Multi-objects association in perception of dynamical situation | cs.AI | In current perception systems applied to the rebuilding of the environment
for intelligent vehicles, the part reserved to object association for the
tracking is increasingly significant. This allows firstly to follow the objects
temporal evolution and secondly to increase the reliability of environment
perception. We p... | computer science |
4,041 | Model-based Influence Diagrams for Machine Vision | cs.CV | We show an approach to automated control of machine vision systems based on
incremental creation and evaluation of a particular family of influence
diagrams that represent hypotheses of imagery interpretation and possible
subsequent processing decisions. In our approach, model-based machine vision
techniques are integr... | computer science |
4,042 | Comparisons of Reasoning Mechanisms for Computer Vision | cs.CV | An evidential reasoning mechanism based on the Dempster-Shafer theory of
evidence is introduced. Its performance in real-world image analysis is
compared with other mechanisms based on the Bayesian formalism and a simple
weight combination method. | computer science |
4,043 | Evidential Reasoning in Image Understanding | cs.CV | In this paper, we present some results of evidential reasoning in
understanding multispectral images of remote sensing systems. The
Dempster-Shafer approach of combination of evidences is pursued to yield
contextual classification results, which are compared with previous results of
the Bayesian context free classifica... | computer science |
4,044 | Evidential Reasoning in Parallel Hierarchical Vision Programs | cs.AI | This paper presents an efficient adaptation and application of the
Dempster-Shafer theory of evidence, one that can be used effectively in a
massively parallel hierarchical system for visual pattern perception. It
describes the techniques used, and shows in an extended example how they serve
to improve the system's per... | computer science |
4,045 | Fuzzy Modeling of Electrical Impedance Tomography Image of the Lungs | cs.AI | Electrical Impedance Tomography (EIT) is a functional imaging method that is
being developed for bedside use in critical care medicine. Aiming at improving
the chest anatomical resolution of EIT images we developed a fuzzy model based
on EIT high temporal resolution and the functional information contained in the
pulmo... | computer science |
4,046 | Non-Negative Matrix Factorization, Convexity and Isometry | cs.AI | In this paper we explore avenues for improving the reliability of
dimensionality reduction methods such as Non-Negative Matrix Factorization
(NMF) as interpretive exploratory data analysis tools. We first explore the
difficulties of the optimization problem underlying NMF, showing for the first
time that non-trivial NM... | computer science |
4,047 | Vision-Based Navigation I: A navigation filter for fusing
DTM/correspondence updates | cs.CV | An algorithm for pose and motion estimation using corresponding features in
images and a digital terrain map is proposed. Using a Digital Terrain (or
Digital Elevation) Map (DTM/DEM) as a global reference enables recovering the
absolute position and orientation of the camera. In order to do this, the DTM
is used to for... | computer science |
4,048 | Vision-Based Navigation II: Error Analysis for a Navigation Algorithm
based on Optical-Flow and a Digital Terrain Map | cs.CV | The paper deals with the error analysis of a navigation algorithm that uses
as input a sequence of images acquired by a moving camera and a Digital Terrain
Map (DTM) of the region been imaged by the camera during the motion. The main
sources of error are more or less straightforward to identify: camera
resolution, stru... | computer science |
4,049 | Building the information kernel and the problem of recognition | cs.CV | At this point in time there is a need for a new representation of different
information, to identify and organize descending its characteristics. Today,
science is a powerful tool for the description of reality - the numbers. Why
the most important property of numbers. Suppose we have a number 0.2351734, it
is clear th... | computer science |
4,050 | Comments on "A new combination of evidence based on compromise" by K.
Yamada | cs.CV | Comments on ``A new combination of evidence based on compromise'' by K.
Yamada | computer science |
4,051 | An Embarrassingly Simple Speed-Up of Belief Propagation with Robust
Potentials | cs.CV | We present an exact method of greatly speeding up belief propagation (BP) for
a wide variety of potential functions in pairwise MRFs and other graphical
models. Specifically, our technique applies whenever the pairwise potentials
have been {\em truncated} to a constant value for most pairs of states, as is
commonly don... | computer science |
4,052 | Efficient Independence-Based MAP Approach for Robust Markov Networks
Structure Discovery | cs.AI | This work introduces the IB-score, a family of independence-based score
functions for robust learning of Markov networks independence structures.
Markov networks are a widely used graphical representation of probability
distributions, with many applications in several fields of science. The main
advantage of the IB-sco... | computer science |
4,053 | Transductive-Inductive Cluster Approximation Via Multivariate Chebyshev
Inequality | cs.CV | Approximating adequate number of clusters in multidimensional data is an open
area of research, given a level of compromise made on the quality of acceptable
results. The manuscript addresses the issue by formulating a transductive
inductive learning algorithm which uses multivariate Chebyshev inequality.
Considering c... | computer science |
4,054 | A General Methodology for the Determination of 2D Bodies Elastic
Deformation Invariants. Application to the Automatic Identification of
Parasites | cs.CV | A novel methodology is introduced here that exploits 2D images of arbitrary
elastic body deformation instances, so as to quantify mechano-elastic
characteristics that are deformation invariant. Determination of such
characteristics allows for developing methods offering an image of the
undeformed body. General assumpti... | computer science |
4,055 | Full Object Boundary Detection by Applying Scale Invariant Features in a
Region Merging Segmentation Algorithm | cs.CV | Object detection is a fundamental task in computer vision and has many
applications in image processing. This paper proposes a new approach for object
detection by applying scale invariant feature transform (SIFT) in an automatic
segmentation algorithm. SIFT is an invariant algorithm respect to scale,
translation and r... | computer science |
4,056 | Color Texture Classification Approach Based on Combination of Primitive
Pattern Units and Statistical Features | cs.CV | Texture classification became one of the problems which has been paid much
attention on by image processing scientists since late 80s. Consequently, since
now many different methods have been proposed to solve this problem. In most of
these methods the researchers attempted to describe and discriminate textures
based o... | computer science |
4,057 | The Statistical Inefficiency of Sparse Coding for Images (or, One Gabor
to Rule them All) | cs.CV | Sparse coding is a proven principle for learning compact representations of
images. However, sparse coding by itself often leads to very redundant
dictionaries. With images, this often takes the form of similar edge detectors
which are replicated many times at various positions, scales and orientations.
An immediate co... | computer science |
4,058 | Neural Networks for Handwritten English Alphabet Recognition | cs.AI | This paper demonstrates the use of neural networks for developing a system
that can recognize hand-written English alphabets. In this system, each English
alphabet is represented by binary values that are used as input to a simple
feature extraction system, whose output is fed to our neural network system. | computer science |
4,059 | On Considering Uncertainty and Alternatives in Low-Level Vision | cs.AI | In this paper we address the uncertainty issues involved in the low-level
vision task of image segmentation. Researchers in computer vision have worked
extensively on this problem, in which the goal is to partition (or segment) an
image into regions that are homogeneous or uniform in some sense. This
segmentation is of... | computer science |
4,060 | Application of the SP theory of intelligence to the understanding of
natural vision and the development of computer vision | cs.CV | The SP theory of intelligence aims to simplify and integrate concepts in
computing and cognition, with information compression as a unifying theme. This
article discusses how it may be applied to the understanding of natural vision
and the development of computer vision. The theory, which is described quite
fully elsew... | computer science |
4,061 | Brain Tumor Segmentation with Deep Neural Networks | cs.CV | In this paper, we present a fully automatic brain tumor segmentation method
based on Deep Neural Networks (DNNs). The proposed networks are tailored to
glioblastomas (both low and high grade) pictured in MR images. By their very
nature, these tumors can appear anywhere in the brain and have almost any kind
of shape, si... | computer science |
4,062 | Image Reconstruction from Bag-of-Visual-Words | cs.CV | The objective of this work is to reconstruct an original image from
Bag-of-Visual-Words (BoVW). Image reconstruction from features can be a means
of identifying the characteristics of features. Additionally, it enables us to
generate novel images via features. Although BoVW is the de facto standard
feature for image re... | computer science |
4,063 | Diffusion Methods for Classification with Pairwise Relationships | cs.AI | We define two algorithms for propagating information in classification
problems with pairwise relationships. The algorithms are based on contraction
maps and are related to non-linear diffusion and random walks on graphs. The
approach is also related to message passing algorithms, including belief
propagation and mean ... | computer science |
4,064 | Feature Representation for Online Signature Verification | cs.CV | Biometrics systems have been used in a wide range of applications and have
improved people authentication. Signature verification is one of the most
common biometric methods with techniques that employ various specifications of
a signature. Recently, deep learning has achieved great success in many fields,
such as imag... | computer science |
4,065 | 3D-R2N2: A Unified Approach for Single and Multi-view 3D Object
Reconstruction | cs.CV | Inspired by the recent success of methods that employ shape priors to achieve
robust 3D reconstructions, we propose a novel recurrent neural network
architecture that we call the 3D Recurrent Reconstruction Neural Network
(3D-R2N2). The network learns a mapping from images of objects to their
underlying 3D shapes from ... | computer science |
4,066 | Volumetric and Multi-View CNNs for Object Classification on 3D Data | cs.CV | 3D shape models are becoming widely available and easier to capture, making
available 3D information crucial for progress in object classification. Current
state-of-the-art methods rely on CNNs to address this problem. Recently, we
witness two types of CNNs being developed: CNNs based upon volumetric
representations ve... | computer science |
4,067 | Single-Image Depth Perception in the Wild | cs.CV | This paper studies single-image depth perception in the wild, i.e.,
recovering depth from a single image taken in unconstrained settings. We
introduce a new dataset "Depth in the Wild" consisting of images in the wild
annotated with relative depth between pairs of random points. We also propose a
new algorithm that lea... | computer science |
4,068 | Annotation Order Matters: Recurrent Image Annotator for Arbitrary Length
Image Tagging | cs.CV | Automatic image annotation has been an important research topic in
facilitating large scale image management and retrieval. Existing methods focus
on learning image-tag correlation or correlation between tags to improve
annotation accuracy. However, most of these methods evaluate their performance
using top-k retrieval... | computer science |
4,069 | Estimating 3D Trajectories from 2D Projections via Disjunctive Factored
Four-Way Conditional Restricted Boltzmann Machines | cs.CV | Estimation, recognition, and near-future prediction of 3D trajectories based
on their two dimensional projections available from one camera source is an
exceptionally difficult problem due to uncertainty in the trajectories and
environment, high dimensionality of the specific trajectory states, lack of
enough labeled d... | computer science |
4,070 | Bayesian Inference of Recursive Sequences of Group Activities from
Tracks | cs.AI | We present a probabilistic generative model for inferring a description of
coordinated, recursively structured group activities at multiple levels of
temporal granularity based on observations of individuals' trajectories. The
model accommodates: (1) hierarchically structured groups, (2) activities that
are temporally ... | computer science |
4,071 | Makeup like a superstar: Deep Localized Makeup Transfer Network | cs.CV | In this paper, we propose a novel Deep Localized Makeup Transfer Network to
automatically recommend the most suitable makeup for a female and synthesis the
makeup on her face. Given a before-makeup face, her most suitable makeup is
determined automatically. Then, both the beforemakeup and the reference faces
are fed in... | computer science |
4,072 | Balancing Appearance and Context in Sketch Interpretation | cs.AI | We describe a sketch interpretation system that detects and classifies clock
numerals created by subjects taking the Clock Drawing Test, a clinical tool
widely used to screen for cognitive impairments (e.g., dementia). We describe
how it balances appearance and context, and document its performance on some
2,000 drawin... | computer science |
4,073 | Semantic Change Detection with Hypermaps | cs.CV | Change detection is the study of detecting changes between two different
images of a scene taken at different times. By the detected change areas,
however, a human cannot understand how different the two images. Therefore, a
semantic understanding is required in the change detection research such as
disaster investigat... | computer science |
4,074 | Improving feature selection algorithms using normalised feature
histograms | cs.AI | The proposed feature selection method builds a histogram of the most stable
features from random subsets of a training set and ranks the features based on
a classifier based cross-validation. This approach reduces the instability of
features obtained by conventional feature selection methods that occur with
variation i... | computer science |
4,075 | Multi-column Deep Neural Networks for Image Classification | cs.CV | Traditional methods of computer vision and machine learning cannot match
human performance on tasks such as the recognition of handwritten digits or
traffic signs. Our biologically plausible deep artificial neural network
architectures can. Small (often minimal) receptive fields of convolutional
winner-take-all neurons... | computer science |
4,076 | Segmentation of Offline Handwritten Bengali Script | cs.CV | Character segmentation has long been one of the most critical areas of
optical character recognition process. Through this operation, an image of a
sequence of characters, which may be connected in some cases, is decomposed
into sub-images of individual alphabetic symbols. In this paper, segmentation
of cursive handwri... | computer science |
4,077 | Feature Based Fuzzy Rule Base Design for Image Extraction | cs.CV | In the recent advancement of multimedia technologies, it becomes a major
concern of detecting visual attention regions in the field of image processing.
The popularity of the terminal devices in a heterogeneous environment of the
multimedia technology gives us enough scope for the betterment of image
visualization. Alt... | computer science |
4,078 | Gray Image extraction using Fuzzy Logic | cs.CV | Fuzzy systems concern fundamental methodology to represent and process
uncertainty and imprecision in the linguistic information. The fuzzy systems
that use fuzzy rules to represent the domain knowledge of the problem are known
as Fuzzy Rule Base Systems (FRBS). On the other hand image segmentation and
subsequent extra... | computer science |
4,079 | Leaf vein segmentation using Odd Gabor filters and morphological
operations | cs.CV | Leaf vein forms the basis of leaf characterization and classification.
Different species have different leaf vein patterns. It is seen that leaf vein
segmentation will help in maintaining a record of all the leaves according to
their specific pattern of veins thus provide an effective way to retrieve and
store informat... | computer science |
4,080 | Artificial Neural Network Fuzzy Inference System (ANFIS) For Brain Tumor
Detection | cs.CV | Detection and segmentation of Brain tumor is very important because it
provides anatomical information of normal and abnormal tissues which helps in
treatment planning and patient follow-up. There are number of techniques for
image segmentation. Proposed research work uses ANFIS (Artificial Neural
Network Fuzzy Inferen... | computer science |
4,081 | Autonomous Navigation by Robust Scan Matching Technique | cs.CV | For effective autonomous navigation,estimation of the pose of the robot is
essential at every sampling time. For computing an accurate
estimation,odometric error needs to be reduced with the help of data from
external sensor. In this work, a technique has been developed for accurate pose
estimation of mobile robot by u... | computer science |
4,082 | Image Segmentation in Video Sequences: A Probabilistic Approach | cs.CV | "Background subtraction" is an old technique for finding moving objects in a
video sequence for example, cars driving on a freeway. The idea is that
subtracting the current image from a timeaveraged background image will leave
only nonstationary objects. It is, however, a crude approximation to the task
of classifying ... | computer science |
4,083 | Fast Image Scanning with Deep Max-Pooling Convolutional Neural Networks | cs.CV | Deep Neural Networks now excel at image classification, detection and
segmentation. When used to scan images by means of a sliding window, however,
their high computational complexity can bring even the most powerful hardware
to its knees. We show how dynamic programming can speedup the process by orders
of magnitude, ... | computer science |
4,084 | Object Recognition with Imperfect Perception and Redundant Description | cs.CV | This paper deals with a scene recognition system in a robotics contex. The
general problem is to match images with <I>a priori</I> descriptions. A typical
mission would consist in identifying an object in an installation with a vision
system situated at the end of a manipulator and with a human operator provided
descri... | computer science |
4,085 | Geodesic-based Salient Object Detection | cs.CV | Saliency detection has been an intuitive way to provide useful cues for
object detection and segmentation, as desired for many vision and graphics
applications. In this paper, we provided a robust method for salient object
detection and segmentation. Other than using various pixel-level contrast
definitions, we exploit... | computer science |
4,086 | Active Sensing as Bayes-Optimal Sequential Decision Making | cs.AI | Sensory inference under conditions of uncertainty is a major problem in both
machine learning and computational neuroscience. An important but poorly
understood aspect of sensory processing is the role of active sensing. Here, we
present a Bayes-optimal inference and control framework for active sensing,
C-DAC (Context... | computer science |
4,087 | Structured Sparse Method for Hyperspectral Unmixing | cs.CV | Hyperspectral Unmixing (HU) has received increasing attention in the past
decades due to its ability of unveiling information latent in hyperspectral
data. Unfortunately, most existing methods fail to take advantage of the
spatial information in data. To overcome this limitation, we propose a
Structured Sparse regulari... | computer science |
4,088 | Gabor Filter and Rough Clustering Based Edge Detection | cs.CV | This paper introduces an efficient edge detection method based on Gabor
filter and rough clustering. The input image is smoothed by Gabor function, and
the concept of rough clustering is used to focus on edge detection with soft
computational approach. Hysteresis thresholding is used to get the actual
output, i.e. edge... | computer science |
4,089 | Cognitive-mapping and contextual pyramid based Digital Elevation Model
Registration and its effective storage using fractal based compression | cs.AI | Digital Elevation models (DEM) are images having terrain information embedded
into them. Using cognitive mapping concepts for DEM registration, has evolved
from this basic idea of using the mapping between the space to objects and
defining their relationships to form the basic landmarks that need to be
marked, stored a... | computer science |
4,090 | Using Descriptive Video Services to Create a Large Data Source for Video
Annotation Research | cs.CV | In this work, we introduce a dataset of video annotated with high quality
natural language phrases describing the visual content in a given segment of
time. Our dataset is based on the Descriptive Video Service (DVS) that is now
encoded on many digital media products such as DVDs. DVS is an audio narration
describing t... | computer science |
4,091 | Partial Sum Minimization of Singular Values in Robust PCA: Algorithm and
Applications | cs.CV | Robust Principal Component Analysis (RPCA) via rank minimization is a
powerful tool for recovering underlying low-rank structure of clean data
corrupted with sparse noise/outliers. In many low-level vision problems, not
only it is known that the underlying structure of clean data is low-rank, but
the exact rank of clea... | computer science |
4,092 | Commonly Uncommon: Semantic Sparsity in Situation Recognition | cs.CV | Semantic sparsity is a common challenge in structured visual classification
problems; when the output space is complex, the vast majority of the possible
predictions are rarely, if ever, seen in the training set. This paper studies
semantic sparsity in situation recognition, the task of producing structured
summaries o... | computer science |
4,093 | Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image
Captioning | cs.CV | Attention-based neural encoder-decoder frameworks have been widely adopted
for image captioning. Most methods force visual attention to be active for
every generated word. However, the decoder likely requires little to no visual
information from the image to predict non-visual words such as "the" and "of".
Other words ... | computer science |
4,094 | Multimodal Transfer: A Hierarchical Deep Convolutional Neural Network
for Fast Artistic Style Transfer | cs.CV | Transferring artistic styles onto everyday photographs has become an
extremely popular task in both academia and industry. Recently, offline
training has replaced on-line iterative optimization, enabling nearly real-time
stylization. When those stylization networks are applied directly to
high-resolution images, howeve... | computer science |
4,095 | Salient Region Detection with Convex Hull Overlap | cs.CV | In this paper, we establish a novel bottom-up cue named Convex Hull Overlap
(CHO), and then propose an effective approach to detect salient regions using
the combination of the CHO cue and global contrast cue. Our scheme
significantly differs from other earlier work in: 1) The hierarchical
segmentation model based on N... | computer science |
4,096 | Segmentation of large images based on super-pixels and community
detection in graphs | cs.CV | Image segmentation has many applications which range from machine learning to
medical diagnosis. In this paper, we propose a framework for the segmentation
of images based on super-pixels and algorithms for community identification in
graphs. The super-pixel pre-segmentation step reduces the number of nodes in
the grap... | computer science |
4,097 | FastMask: Segment Multi-scale Object Candidates in One Shot | cs.CV | Objects appear to scale differently in natural images. This fact requires
methods dealing with object-centric tasks (e.g. object proposal) to have robust
performance over variances in object scales. In the paper, we present a novel
segment proposal framework, namely FastMask, which takes advantage of
hierarchical featu... | computer science |
4,098 | From Virtual to Real World Visual Perception using Domain Adaptation --
The DPM as Example | cs.CV | Supervised learning tends to produce more accurate classifiers than
unsupervised learning in general. This implies that training data is preferred
with annotations. When addressing visual perception challenges, such as
localizing certain object classes within an image, the learning of the involved
classifiers turns out... | computer science |
4,099 | Real-time face swapping as a tool for understanding infant
self-recognition | cs.AI | To study the preference of infants for contingency of movements and
familiarity of faces during self-recognition task, we built, as an accurate and
instantaneous imitator, a real-time face- swapper for videos. We present a
non-constraint face-swapper based on 3D visual tracking that achieves real-time
performance throu... | computer science |
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