Unnamed: 0 int64 0 41k | title stringlengths 4 274 | category stringlengths 5 18 | summary stringlengths 22 3.66k | theme stringclasses 8
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39,210 | Region segmentation for sparse decompositions: better brain
parcellations from rest fMRI | cs.CV | Functional Magnetic Resonance Images acquired during resting-state provide
information about the functional organization of the brain through measuring
correlations between brain areas. Independent components analysis is the
reference approach to estimate spatial components from weakly structured data
such as brain sig... | computer science |
39,211 | High-level numerical simulations of noise in CCD and CMOS photosensors:
review and tutorial | cs.CV | In many applications, such as development and testing of image processing
algorithms, it is often necessary to simulate images containing realistic noise
from solid-state photosensors. A high-level model of CCD and CMOS photosensors
based on a literature review is formulated in this paper. The model includes
photo-resp... | computer science |
39,212 | Efficient GPU Implementation for Single Block Orthogonal Dictionary
Learning | cs.CV | Dictionary training for sparse representations involves dealing with large
chunks of data and complex algorithms that determine time consuming
implementations. SBO is an iterative dictionary learning algorithm based on
constructing unions of orthonormal bases via singular value decomposition, that
represents each data ... | computer science |
39,213 | Design, Implementation and Simulation of a Cloud Computing System for
Enhancing Real-time Video Services by using VANET and Onboard Navigation
Systems | cs.NI | In this paper, we propose a design for novel and experimental cloud computing
systems. The proposed system aims at enhancing computational, communicational
and annalistic capabilities of road navigation services by merging several
independent technologies, namely vision-based embedded navigation systems,
prominent Clou... | computer science |
39,214 | Non-parametric PSF estimation from celestial transit solar images using
blind deconvolution | cs.CV | Context: Characterization of instrumental effects in astronomical imaging is
important in order to extract accurate physical information from the
observations. The measured image in a real optical instrument is usually
represented by the convolution of an ideal image with a Point Spread Function
(PSF). Additionally, th... | computer science |
39,215 | Py3DFreeHandUS: a library for voxel-array reconstruction using
Ultrasonography and attitude sensors | cs.CV | In medical imaging, there is a growing interest to provide real-time images
with good quality for large anatomical structures. To cope with this issue, we
developed a library that allows to replace, for some specific clinical
applications, more robust systems such as Computer Tomography (CT) and Magnetic
Resonance Imag... | computer science |
39,216 | Symmetry in Image Registration and Deformation Modeling | cs.CV | We survey the role of symmetry in diffeomorphic registration of landmarks,
curves, surfaces, images and higher-order data. The infinite dimensional
problem of finding correspondences between objects can for a range of concrete
data types be reduced resulting in compact representations of shape and spatial
structure. Th... | computer science |
39,217 | Enhancing fractal descriptors on images by combining boundary and
interior of Minkowski dilation | cs.CV | This work proposes to obtain novel fractal descriptors from gray-level
texture images by combining information from interior and boundary measures of
the Minkowski dilation applied to the texture surface. At first, the image is
converted into a surface where the height of each point is the gray intensity
of the respect... | computer science |
39,218 | A multistep segmentation algorithm for vessel extraction in medical
imaging | cs.CV | The main contribution of this paper is to propose an iterative procedure for
tubular structure segmentation of 2D images, which combines tight frame of
Curvelet transforms with a SURE technique thresholding which is based on
principle obtained by minimizing Stein Unbiased Risk Estimate for denoising.
This proposed algo... | computer science |
39,219 | HSI based colour image equalization using iterative nth root and nth
power | cs.CV | In this paper an equalization technique for colour images is introduced. The
method is based on nth root and nth power equalization approach but with
optimization of the mean of the image in different colour channels such as RGB
and HSI. The performance of the proposed method has been measured by the means
of peak sign... | computer science |
39,220 | Non-iterative rigid 2D/3D point-set registration using semidefinite
programming | cs.CV | We describe a convex programming framework for pose estimation in 2D/3D
point-set registration with unknown point correspondences. We give two
mixed-integer nonlinear program (MINP) formulations of the 2D/3D registration
problem when there are multiple 2D images, and propose convex relaxations for
both of the MINPs to ... | computer science |
39,221 | Skincure: An Innovative Smart Phone-Based Application To Assist In
Melanoma Early Detection And Prevention | cs.CV | Melanoma spreads through metastasis, and therefore it has been proven to be
very fatal. Statistical evidence has revealed that the majority of deaths
resulting from skin cancer are as a result of melanoma. Further investigations
have shown that the survival rates in patients depend on the stage of the
infection; early ... | computer science |
39,222 | The Quadrifocal Variety | math.AG | Multi-view Geometry is reviewed from an Algebraic Geometry perspective and
multi-focal tensors are constructed as equivariant projections of the
Grassmannian. A connection to the principal minor assignment problem is made by
considering several flatlander cameras. The ideal of the quadrifocal variety is
computed up to ... | computer science |
39,223 | Texture Retrieval via the Scattering Transform | cs.IR | This work studies the problem of content-based image retrieval, specifically,
texture retrieval. It focuses on feature extraction and similarity measure for
texture images. Our approach employs a recently developed method, the so-called
Scattering transform, for the process of feature extraction in texture
retrieval. I... | computer science |
39,224 | A Modified No Search Algorithm for Fractal Image Compression | cs.CV | Fractal image compression has some desirable properties like high quality at
high compression ratio, fast decoding, and resolution independence. Therefore
it can be used for many applications such as texture mapping and pattern
recognition and image watermarking. But it suffers from long encoding time due
to its need t... | computer science |
39,225 | Higher dimensional homodyne filtering for suppression of incidental
phase artifacts in multichannel MRI | cs.CV | The aim of this paper is to introduce procedural steps for extension of the
1D homodyne phase correction for k-space truncation in all gradient encoding
directions. Compared to the existing method applied to 2D partial k-space,
signal losses introduced by the phase correction filter is observed to be
minimal for the ex... | computer science |
39,226 | Holistic random encoding for imaging through multimode fibers | cs.CV | The input numerical aperture (NA) of multimode fiber (MMF) can be effectively
increased by placing turbid media at the input end of the MMF. This provides
the potential for high-resolution imaging through the MMF. While the input NA
is increased, the number of propagation modes in the MMF and hence the output
NA remain... | computer science |
39,227 | Visual Analytics of Image-Centric Cohort Studies in Epidemiology | cs.CV | Epidemiology characterizes the influence of causes to disease and health
conditions of defined populations. Cohort studies are population-based studies
involving usually large numbers of randomly selected individuals and comprising
numerous attributes, ranging from self-reported interview data to results from
various m... | computer science |
39,228 | On the Performance of ConvNet Features for Place Recognition | cs.RO | After the incredible success of deep learning in the computer vision domain,
there has been much interest in applying Convolutional Network (ConvNet)
features in robotic fields such as visual navigation and SLAM. Unfortunately,
there are fundamental differences and challenges involved. Computer vision
datasets are very... | computer science |
39,229 | DeepHash: Getting Regularization, Depth and Fine-Tuning Right | cs.CV | This work focuses on representing very high-dimensional global image
descriptors using very compact 64-1024 bit binary hashes for instance
retrieval. We propose DeepHash: a hashing scheme based on deep networks. Key to
making DeepHash work at extremely low bitrates are three important
considerations -- regularization, ... | computer science |
39,230 | Estimating the Intrinsic Dimension of Hyperspectral Images Using an
Eigen-Gap Approach | stat.AP | Linear mixture models are commonly used to represent hyperspectral datacube
as a linear combinations of endmember spectra. However, determining of the
number of endmembers for images embedded in noise is a crucial task. This paper
proposes a fully automatic approach for estimating the number of endmembers in
hyperspect... | computer science |
39,231 | Gibbs-Ringing Artifact Removal Based on Local Subvoxel-shifts | cs.CV | Gibbs-ringing is a well known artifact which manifests itself as spurious
oscillations in the vicinity of sharp image transients, e.g. at tissue
boundaries. The origin can be seen in the truncation of k-space during MRI
data-acquisition. Consequently, correction techniques like Gegenbauer
reconstruction or extrapolatio... | computer science |
39,232 | Convex Denoising using Non-Convex Tight Frame Regularization | cs.CV | This paper considers the problem of signal denoising using a sparse
tight-frame analysis prior. The L1 norm has been extensively used as a
regularizer to promote sparsity; however, it tends to under-estimate non-zero
values of the underlying signal. To more accurately estimate non-zero values,
we propose the use of a n... | computer science |
39,233 | Temporal Localization of Fine-Grained Actions in Videos by Domain
Transfer from Web Images | cs.CV | We address the problem of fine-grained action localization from temporally
untrimmed web videos. We assume that only weak video-level annotations are
available for training. The goal is to use these weak labels to identify
temporal segments corresponding to the actions, and learn models that
generalize to unconstrained... | computer science |
39,234 | Separable time-causal and time-recursive spatio-temporal receptive
fields | cs.CV | We present an improved model and theory for time-causal and time-recursive
spatio-temporal receptive fields, obtained by a combination of Gaussian
receptive fields over the spatial domain and first-order integrators or
equivalently truncated exponential filters coupled in cascade over the temporal
domain. Compared to p... | computer science |
39,235 | Modeling Spatial-Temporal Clues in a Hybrid Deep Learning Framework for
Video Classification | cs.CV | Classifying videos according to content semantics is an important problem
with a wide range of applications. In this paper, we propose a hybrid deep
learning framework for video classification, which is able to model static
spatial information, short-term motion, as well as long-term temporal clues in
the videos. Speci... | computer science |
39,236 | An Empirical Evaluation of Deep Learning on Highway Driving | cs.RO | Numerous groups have applied a variety of deep learning techniques to
computer vision problems in highway perception scenarios. In this paper, we
presented a number of empirical evaluations of recent deep learning advances.
Computer vision, combined with deep learning, has the potential to bring about
a relatively inex... | computer science |
39,237 | Connectivity Preserving Multivalued Functions in Digital Topology | cs.CV | We study connectivity preserving multivalued functions between digital
images. This notion generalizes that of continuous multivalued functions
studied mostly in the setting of the digital plane $Z^2$. We show that
connectivity preserving multivalued functions, like continuous multivalued
functions, are appropriate mod... | computer science |
39,238 | A Multiphase Image Segmentation Based on Fuzzy Membership Functions and
L1-norm Fidelity | math.OC | In this paper, we propose a variational multiphase image segmentation model
based on fuzzy membership functions and L1-norm fidelity. Then we apply the
alternating direction method of multipliers to solve an equivalent problem. All
the subproblems can be solved efficiently. Specifically, we propose a fast
method to cal... | computer science |
39,239 | Real-time Monocular Object SLAM | cs.RO | We present a real-time object-based SLAM system that leverages the largest
object database to date. Our approach comprises two main components: 1) a
monocular SLAM algorithm that exploits object rigidity constraints to improve
the map and find its real scale, and 2) a novel object recognition algorithm
based on bags of... | computer science |
39,240 | Time-causal and time-recursive spatio-temporal receptive fields | cs.CV | We present an improved model and theory for time-causal and time-recursive
spatio-temporal receptive fields, based on a combination of Gaussian receptive
fields over the spatial domain and first-order integrators or equivalently
truncated exponential filters coupled in cascade over the temporal domain.
Compared to pr... | computer science |
39,241 | Image patch analysis of sunspots and active regions. II. Clustering via
matrix factorization | cs.CV | Separating active regions that are quiet from potentially eruptive ones is a
key issue in Space Weather applications. Traditional classification schemes
such as Mount Wilson and McIntosh have been effective in relating an active
region large scale magnetic configuration to its ability to produce eruptive
events. Howeve... | computer science |
39,242 | Building Proteins in a Day: Efficient 3D Molecular Reconstruction | cs.CV | Discovering the 3D atomic structure of molecules such as proteins and viruses
is a fundamental research problem in biology and medicine. Electron
Cryomicroscopy (Cryo-EM) is a promising vision-based technique for structure
estimation which attempts to reconstruct 3D structures from 2D images. This
paper addresses the c... | computer science |
39,243 | Comparisons of wavelet functions in QRS signal to noise ratio
enhancement and detection accuracy | cs.CV | We compare the capability of wavelet functions used for noise removal in
preprocessing step of a QRS detection algorithm in the electrocardiogram (ECG)
signal. The QRS signal to noise ratio enhancement and the detection accuracy of
each wavelet function are evaluated using three measures: (1) the ratio of the
maximum b... | computer science |
39,244 | Bio-inspired Unsupervised Learning of Visual Features Leads to Robust
Invariant Object Recognition | cs.CV | Retinal image of surrounding objects varies tremendously due to the changes
in position, size, pose, illumination condition, background context, occlusion,
noise, and nonrigid deformations. But despite these huge variations, our visual
system is able to invariantly recognize any object in just a fraction of a
second. T... | computer science |
39,245 | A spectral optical flow method for determining velocities from digital
imagery | cs.CV | We present a method for determining surface flows from solar images based
upon optical flow techniques. We apply the method to sets of images obtained by
a variety of solar imagers to assess its performance. The {\tt opflow3d}
procedure is shown to extract accurate velocity estimates when provided perfect
test data and... | computer science |
39,246 | Application of Enhanced-2D-CWT in Topographic Images for Mapping
Landslide Risk Areas | cs.CV | There has been lately a number of catastrophic events of landslides and
mudslides in the mountainous region of Rio de Janeiro, Brazil. Those were
caused by intense rain in localities where there was unplanned occupation of
slopes of hills and mountains. Thus, it became imperative creating an inventory
of landslide risk... | computer science |
39,247 | Convolutional Neural Network-Based Image Representation for Visual Loop
Closure Detection | cs.RO | Deep convolutional neural networks (CNN) have recently been shown in many
computer vision and pattern recog- nition applications to outperform by a
significant margin state- of-the-art solutions that use traditional
hand-crafted features. However, this impressive performance is yet to be fully
exploited in robotics. In... | computer science |
39,248 | Cultural Event Recognition with Visual ConvNets and Temporal Models | cs.CV | This paper presents our contribution to the ChaLearn Challenge 2015 on
Cultural Event Classification. The challenge in this task is to automatically
classify images from 50 different cultural events. Our solution is based on the
combination of visual features extracted from convolutional neural networks
with temporal i... | computer science |
39,249 | Deviation Based Pooling Strategies For Full Reference Image Quality
Assessment | cs.MM | The state-of-the-art pooling strategies for perceptual image quality
assessment (IQA) are based on the mean and the weighted mean. They are robust
pooling strategies which usually provide a moderate to high performance for
different IQAs. Recently, standard deviation (SD) pooling was also proposed.
Although, this devia... | computer science |
39,250 | On-Board Vision Processing For Small UAVs: Time to Rethink Strategy | cs.CV | The ultimate research goal for unmanned aerial vehicles (UAVs) is to
facilitate autonomy of operation. Research in the last decade has highlighted
the potential of vision sensing in this regard. Although vital for
accomplishment of missions assigned to any type of unmanned aerial vehicles,
vision sensing is more critic... | computer science |
39,251 | A novel variational model for image registration using Gaussian
curvature | math.NA | Image registration is one important task in many image processing
applications. It aims to align two or more images so that useful information
can be extracted through comparison, combination or superposition. This is
achieved by constructing an optimal trans- formation which ensures that the
template image becomes sim... | computer science |
39,252 | Probabilistic Depth Image Registration incorporating Nonvisual
Information | cs.RO | In this paper, we derive a probabilistic registration algorithm for object
modeling and tracking. In many robotics applications, such as manipulation
tasks, nonvisual information about the movement of the object is available,
which we will combine with the visual information. Furthermore we do not only
consider observa... | computer science |
39,253 | Improved repeatability measures for evaluating performance of feature
detectors | cs.CV | The most frequently employed measure for performance characterisation of
local feature detectors is repeatability, but it has been observed that this
does not necessarily mirror actual performance. Presented are improved
repeatability formulations which correlate much better with the true
performance of feature detecto... | computer science |
39,254 | A Three-stage Approach for Segmenting Degraded Color Images: Smoothing,
Lifting and Thresholding (SLaT) | cs.CV | In this paper, we propose a SLaT (Smoothing, Lifting and Thresholding) method
with three stages for multiphase segmentation of color images corrupted by
different degradations: noise, information loss, and blur. At the first stage,
a convex variant of the Mumford-Shah model is applied to each channel to obtain
a smooth... | computer science |
39,255 | An Open Source Testing Tool for Evaluating Handwriting Input Methods | cs.HC | This paper presents an open source tool for testing the recognition accuracy
of Chinese handwriting input methods. The tool consists of two modules, namely
the PC and Android mobile client. The PC client reads handwritten samples in
the computer, and transfers them individually to the Android client in
accordance with ... | computer science |
39,256 | Image Retrieval System Base on EMD Similarity Measure and S-Tree | cs.CV | The paper approaches the binary signature for each image based on the
percentage of the pixels in each color images, at the same time the paper
builds a similar measure between images based on EMD (Earth Mover's Distance).
Besides, the paper proceeded to create the S-tree based on the similar measure
EMD to store the i... | computer science |
39,257 | Monocular SLAM Supported Object Recognition | cs.RO | In this work, we develop a monocular SLAM-aware object recognition system
that is able to achieve considerably stronger recognition performance, as
compared to classical object recognition systems that function on a
frame-by-frame basis. By incorporating several key ideas including multi-view
object proposals and effic... | computer science |
39,258 | Automatic tracking of protein vesicles | cs.CV | With the advance of fluorescence imaging technologies, recently cell
biologists are able to record the movement of protein vesicles within a living
cell. Automatic tracking of the movements of these vesicles become key for
qualitative analysis of dynamics of theses vesicles. In this thesis, we
formulate such tracking p... | computer science |
39,259 | Multiscale edge detection and parametric shape modeling for boundary
delineation in optoacoustic images | cs.CV | In this article, we present a novel scheme for segmenting the image boundary
(with the background) in optoacoustic small animal in vivo imaging systems. The
method utilizes a multiscale edge detection algorithm to generate a binary edge
map. A scale dependent morphological operation is employed to clean spurious
edges.... | computer science |
39,260 | Optical Flow on Evolving Sphere-Like Surfaces | math.OC | In this work we consider optical flow on evolving Riemannian 2-manifolds
which can be parametrised from the 2-sphere. Our main motivation is to estimate
cell motion in time-lapse volumetric microscopy images depicting fluorescently
labelled cells of a live zebrafish embryo. We exploit the fact that the
recorded cells f... | computer science |
39,261 | CloudCV: Large Scale Distributed Computer Vision as a Cloud Service | cs.CV | We are witnessing a proliferation of massive visual data. Unfortunately
scaling existing computer vision algorithms to large datasets leaves
researchers repeatedly solving the same algorithmic, logistical, and
infrastructural problems. Our goal is to democratize computer vision; one
should not have to be a computer vis... | computer science |
39,262 | The Artists who Forged Themselves: Detecting Creativity in Art | cs.CV | Creativity and the understanding of cognitive processes involved in the
creative process are relevant to all of human activities. Comprehension of
creativity in the arts is of special interest due to the involvement of many
scientific and non scientific disciplines. Using digital representation of
paintings, we show th... | computer science |
39,263 | Optimising Spatial and Tonal Data for PDE-based Inpainting | cs.CV | Some recent methods for lossy signal and image compression store only a few
selected pixels and fill in the missing structures by inpainting with a partial
differential equation (PDE). Suitable operators include the Laplacian, the
biharmonic operator, and edge-enhancing anisotropic diffusion (EED). The
quality of such ... | computer science |
39,264 | Image-based Recommendations on Styles and Substitutes | cs.CV | Humans inevitably develop a sense of the relationships between objects, some
of which are based on their appearance. Some pairs of objects might be seen as
being alternatives to each other (such as two pairs of jeans), while others may
be seen as being complementary (such as a pair of jeans and a matching shirt).
This ... | computer science |
39,265 | Post-Reconstruction Deconvolution of PET Images by Total Generalized
Variation Regularization | cs.CV | Improving the quality of positron emission tomography (PET) images, affected
by low resolution and high level of noise, is a challenging task in nuclear
medicine and radiotherapy. This work proposes a restoration method, achieved
after tomographic reconstruction of the images and targeting clinical
situations where raw... | computer science |
39,266 | MRF-ZOOM: A Fast Dictionary Searching Algorithm for Magnetic Resonance
Fingerprinting | cs.DS | Magnetic resonance fingerprinting (MRF) is a new technique for simultaneously
quantifying multiple MR parameters using one temporally resolved MR scan. But
its brute-force dictionary generating and searching (DGS) process causes a huge
disk space demand and computational burden, prohibiting it from a practical
multiple... | computer science |
39,267 | Point-wise Map Recovery and Refinement from Functional Correspondence | cs.CV | Since their introduction in the shape analysis community, functional maps
have met with considerable success due to their ability to compactly represent
dense correspondences between deformable shapes, with applications ranging from
shape matching and image segmentation, to exploration of large shape
collections. Despi... | computer science |
39,268 | Graph-based compression of dynamic 3D point cloud sequences | cs.CV | This paper addresses the problem of compression of 3D point cloud sequences
that are characterized by moving 3D positions and color attributes. As
temporally successive point cloud frames are similar, motion estimation is key
to effective compression of these sequences. It however remains a challenging
problem as the p... | computer science |
39,269 | Incremental RANSAC for Online Relocation in Large Dynamic Environments | cs.RO | Vehicle relocation is the problem in which a mobile robot has to estimate the
self-position with respect to an a priori map of landmarks using the perception
and the motion measurements without using any knowledge of the initial
self-position. Recently, RANdom SAmple Consensus (RANSAC), a robust
multi-hypothesis estima... | computer science |
39,270 | Degenerate Motions in Multicamera Cluster SLAM with Non-overlapping
Fields of View | cs.CV | An analysis of the relative motion and point feature model configurations
leading to solution degeneracy is presented, for the case of a Simultaneous
Localization and Mapping system using multicamera clusters with non-overlapping
fields-of-view. The SLAM optimization system seeks to minimize image space
reprojection er... | computer science |
39,271 | Bag-of-Features Image Indexing and Classification in Microsoft SQL
Server Relational Database | cs.DB | This paper presents a novel relational database architecture aimed to visual
objects classification and retrieval. The framework is based on the
bag-of-features image representation model combined with the Support Vector
Machine classification and is integrated in a Microsoft SQL Server database. | computer science |
39,272 | Nonnegative Matrix Factorization applied to reordered pixels of single
images based on patches to achieve structured nonnegative dictionaries | cs.CV | Recent improvements in computing allow for the processing and analysis of
very large datasets in a variety of fields. Often the analysis requires the
creation of low-rank approximations to the datasets leading to efficient
storage. This article presents and analyzes a novel approach for creating
nonnegative, structured... | computer science |
39,273 | Detecting Table Region in PDF Documents Using Distant Supervision | cs.CV | Superior to state-of-the-art approaches which compete in table recognition
with 67 annotated government reports in PDF format released by {\it ICDAR 2013
Table Competition}, this paper contributes a novel paradigm leveraging
large-scale unlabeled PDF documents to open-domain table detection. We
integrate the paradigm i... | computer science |
39,274 | Lens Factory: Automatic Lens Generation Using Off-the-shelf Components | cs.GR | Custom optics is a necessity for many imaging applications. Unfortunately,
custom lens design is costly (thousands to tens of thousands of dollars), time
consuming (10-12 weeks typical lead time), and requires specialized optics
design expertise. By using only inexpensive, off-the-shelf lens components the
Lens Factory... | computer science |
39,275 | Aging display's effect on interpretation of digital pathology slides | cs.CV | It is our conjecture that the variability of colors in a pathology image
effects the interpretation of pathology cases, whether it is diagnostic
accuracy, diagnostic confidence, or workflow efficiency. In this paper, digital
pathology images are analyzed to quantify the perceived difference in color
that occurs due to ... | computer science |
39,276 | On anthropomorphic decision making in a model observer | cs.CV | By analyzing human readers' performance in detecting small round lesions in
simulated digital breast tomosynthesis background in a location known exactly
scenario, we have developed a model observer that is a better predictor of
human performance with different levels of background complexity (i.e.,
anatomical and quan... | computer science |
39,277 | Distributed image reconstruction for very large arrays in radio
astronomy | cs.CV | Current and future radio interferometric arrays such as LOFAR and SKA are
characterized by a paradox. Their large number of receptors (up to millions)
allow theoretically unprecedented high imaging resolution. In the same time,
the ultra massive amounts of samples makes the data transfer and computational
loads (correl... | computer science |
39,278 | TV News Commercials Detection using Success based Locally Weighted
Kernel Combination | cs.CV | Commercial detection in news broadcast videos involves judicious selection of
meaningful audio-visual feature combinations and efficient classifiers. And,
this problem becomes much simpler if these combinations can be learned from the
data. To this end, we propose an Multiple Kernel Learning based method for
boosting s... | computer science |
39,279 | Sparsity assisted solution to the twin image problem in phase retrieval | cs.CV | The iterative phase retrieval problem for complex-valued objects from Fourier
transform magnitude data is known to suffer from the twin image problem. In
particular, when the object support is centro-symmetric, the iterative solution
often stagnates such that the resultant complex image contains the features of
both th... | computer science |
39,280 | SynapCountJ --- a Tool for Analyzing Synaptic Densities in Neurons | cs.CV | The quantification of synapses is instrumental to measure the evolution of
synaptic densities of neurons under the effect of some physiological
conditions, neuronal diseases or even drug treatments. However, the manual
quantification of synapses is a tedious, error-prone, time-consuming and
subjective task; therefore, ... | computer science |
39,281 | Agglomerative clustering and collectiveness measure via exponent
generating function | cs.CV | The key in agglomerative clustering is to define the affinity measure between
two sets. A novel agglomerative clustering method is proposed by utilizing the
path integral to define the affinity measure. Firstly, the path integral
descriptor of an edge, a node and a set is computed by path integral and
exponent generati... | computer science |
39,282 | Mobile Multi-View Object Image Search | cs.MM | High user interaction capability of mobile devices can help improve the
accuracy of mobile visual search systems. At query time, it is possible to
capture multiple views of an object from different viewing angles and at
different scales with the mobile device camera to obtain richer information
about the object compare... | computer science |
39,283 | SnowWatch: Snow Monitoring through Acquisition and Analysis of
User-Generated Content | cs.CV | We present a system for complementing snow phenomena monitoring with virtual
measurements extracted from public visual content. The proposed system
integrates an automatic acquisition and analysis of photographs and webcam
images depicting Alpine mountains. In particular, the technical demonstration
consists in a web p... | computer science |
39,284 | Identifying Emotion from Natural Walking | cs.CV | Emotion identification from gait aims to automatically determine persons
affective state, it has attracted a great deal of interests and offered immense
potential value in action tendency, health care, psychological detection and
human-computer(robot) interaction.In this paper, we propose a new method of
identifying em... | computer science |
39,285 | Estimating snow cover from publicly available images | cs.MM | In this paper we study the problem of estimating snow cover in mountainous
regions, that is, the spatial extent of the earth surface covered by snow. We
argue that publicly available visual content, in the form of user generated
photographs and image feeds from outdoor webcams, can both be leveraged as
additional measu... | computer science |
39,286 | Simulation of optical flow and fuzzy based obstacle avoidance system for
mobile robots | cs.CV | Honey bees use optical flow to avoid obstacles effectively. In this research
work similar methodology was tested on a simulated mobile robot. Simulation
framework was based on VRML and Simulink in a 3D world. Optical flow vectors
were calculated from a video scene captured by a virtual camera which was used
as inputs t... | computer science |
39,287 | A Practical Guide to CNNs and Fisher Vectors for Image Instance
Retrieval | cs.CV | With deep learning becoming the dominant approach in computer vision, the use
of representations extracted from Convolutional Neural Nets (CNNs) is quickly
gaining ground on Fisher Vectors (FVs) as favoured state-of-the-art global
image descriptors for image instance retrieval. While the good performance of
CNNs for im... | computer science |
39,288 | Mountain Peak Detection in Online Social Media | cs.CV | We present a system for the classification of mountain panoramas from
user-generated photographs followed by identification and extraction of
mountain peaks from those panoramas. We have developed an automatic technique
that, given as input a geo-tagged photograph, estimates its FOV (Field Of View)
and the direction of... | computer science |
39,289 | Light-field Microscopy with a Consumer Light-field Camera | cs.GR | We explore the use of inexpensive consumer light- field camera technology for
the purpose of light-field mi- croscopy. Our experiments are based on the Lytro
(first gen- eration) camera. Unfortunately, the optical systems of the Lytro
and those of microscopes are not compatible, lead- ing to a loss of light-field
infor... | computer science |
39,290 | Deep Networks Can Resemble Human Feed-forward Vision in Invariant Object
Recognition | cs.CV | Deep convolutional neural networks (DCNNs) have attracted much attention
recently, and have shown to be able to recognize thousands of object categories
in natural image databases. Their architecture is somewhat similar to that of
the human visual system: both use restricted receptive fields, and a hierarchy
of layers ... | computer science |
39,291 | Who are the Devils Wearing Prada in New York City? | cs.CV | Fashion is a perpetual topic in human social life, and the mass has the
penchant to emulate what large city residents and celebrities wear. Undeniably,
New York City is such a bellwether large city with all kinds of fashion
leadership. Consequently, to study what the fashion trends are during this
year, it is very help... | computer science |
39,292 | Diving Deep into Sentiment: Understanding Fine-tuned CNNs for Visual
Sentiment Prediction | cs.MM | Visual media are powerful means of expressing emotions and sentiments. The
constant generation of new content in social networks highlights the need of
automated visual sentiment analysis tools. While Convolutional Neural Networks
(CNNs) have established a new state-of-the-art in several vision problems,
their applicat... | computer science |
39,293 | Validation of neural spike sorting algorithms without ground-truth
information | cs.CV | We describe a suite of validation metrics that assess the credibility of a
given automatic spike sorting algorithm applied to a given electrophysiological
recording, when ground-truth is unavailable. By rerunning the spike sorter two
or more times, the metrics measure stability under various perturbations
consistent wi... | computer science |
39,294 | Bilevel parameter learning for higher-order total variation
regularisation models | math.OC | We consider a bilevel optimisation approach for parameter learning in
higher-order total variation image reconstruction models. Apart from the least
squares cost functional, naturally used in bilevel learning, we propose and
analyse an alternative cost, based on a Huber regularised TV-seminorm.
Differentiability proper... | computer science |
39,295 | Maximum Persistency via Iterative Relaxed Inference with Graphical
Models | cs.CV | We consider the NP-hard problem of MAP-inference for undirected discrete
graphical models. We propose a polynomial time and practically efficient
algorithm for finding a part of its optimal solution. Specifically, our
algorithm marks some labels of the considered graphical model either as (i)
optimal, meaning that they... | computer science |
39,296 | Light Efficient Flutter Shutter | cs.GR | Flutter shutter is a technique in which the exposure is chopped into segments
and light is only integrated part of the time. By carefully selecting the
chopping sequence it is possible to better condition the data for
reconstruction problems such as motion deblurring, focal sweeping, and
compressed sensing. The partial... | computer science |
39,297 | A Dataset for Improved RGBD-based Object Detection and Pose Estimation
for Warehouse Pick-and-Place | cs.CV | An important logistics application of robotics involves manipulators that
pick-and-place objects placed in warehouse shelves. A critical aspect of this
task corre- sponds to detecting the pose of a known object in the shelf using
visual data. Solving this problem can be assisted by the use of an RGB-D
sensor, which als... | computer science |
39,298 | Diffusion tensor imaging with deterministic error bounds | cs.CV | Errors in the data and the forward operator of an inverse problem can be
handily modelled using partial order in Banach lattices. We present some
existing results of the theory of regularisation in this novel framework, where
errors are represented as bounds by means of the appropriate partial order.
We apply the the... | computer science |
39,299 | Learning Social Relation Traits from Face Images | cs.CV | Social relation defines the association, e.g, warm, friendliness, and
dominance, between two or more people. Motivated by psychological studies, we
investigate if such fine-grained and high-level relation traits can be
characterised and quantified from face images in the wild. To address this
challenging problem we pro... | computer science |
39,300 | A Total Fractional-Order Variation Model for Image Restoration with
Non-homogeneous Boundary Conditions and its Numerical Solution | cs.CV | To overcome the weakness of a total variation based model for image
restoration, various high order (typically second order) regularization models
have been proposed and studied recently. In this paper we analyze and test a
fractional-order derivative based total $\alpha$-order variation model, which
can outperform the... | computer science |
39,301 | Neuron detection in stack images: a persistent homology interpretation | cs.CV | Automation and reliability are the two main requirements when computers are
applied in Life Sciences. In this paper we report on an application to neuron
recognition, an important step in our long-term project of providing software
systems to the study of neural morphology and functionality from biomedical
images. Our ... | computer science |
39,302 | Comparative Design Space Exploration of Dense and Semi-Dense SLAM | cs.RO | SLAM has matured significantly over the past few years, and is beginning to
appear in serious commercial products. While new SLAM systems are being
proposed at every conference, evaluation is often restricted to qualitative
visualizations or accuracy estimation against a ground truth. This is due to
the lack of benchma... | computer science |
39,303 | Fast Template Matching by Subsampled Circulant Matrix | cs.DS | Template matching is widely used for many applications in image and signal
processing and usually is time-critical. Traditional methods usually focus on
how to reduce the search locations by coarse-to-fine strategy or full search
combined with pruning strategy. However, the computation cost of those methods
is easily d... | computer science |
39,304 | MAGMA: Multi-level accelerated gradient mirror descent algorithm for
large-scale convex composite minimization | math.OC | Composite convex optimization models arise in several applications, and are
especially prevalent in inverse problems with a sparsity inducing norm and in
general convex optimization with simple constraints. The most widely used
algorithms for convex composite models are accelerated first order methods,
however they can... | computer science |
39,305 | Modelling Uncertainty in Deep Learning for Camera Relocalization | cs.CV | We present a robust and real-time monocular six degree of freedom visual
relocalization system. We use a Bayesian convolutional neural network to
regress the 6-DOF camera pose from a single RGB image. It is trained in an
end-to-end manner with no need of additional engineering or graph optimisation.
The algorithm can o... | computer science |
39,306 | Fusing Multi-Stream Deep Networks for Video Classification | cs.CV | This paper studies deep network architectures to address the problem of video
classification. A multi-stream framework is proposed to fully utilize the rich
multimodal information in videos. Specifically, we first train three
Convolutional Neural Networks to model spatial, short-term motion and audio
clues respectively... | computer science |
39,307 | Vision System and Depth Processing for DRC-HUBO+ | cs.CV | This paper presents a vision system and a depth processing algorithm for
DRC-HUBO+, the winner of the DRC finals 2015. Our system is designed to
reliably capture 3D information of a scene and objects robust to challenging
environment conditions. We also propose a depth-map upsampling method that
produces an outliers-fr... | computer science |
39,308 | Homotopy relations for digital images | math.GN | We introduce three generalizations of homotopy equivalence in digital images,
to allow us to express whether a finite and an infinite digital image are
similar with respect to homotopy.
We show that these three generalizations are not equivalent to ordinary
homotopy equivalence, and give several examples. We show tha... | computer science |
39,309 | Invariants of objects and their images under surjective maps | math.DG | We examine the relationships between the differential invariants of objects
and of their images under a surjective map. We analyze both the case when the
underlying transformation group is projectable and hence induces an action on
the image, and the case when only a proper subgroup of the entire group acts
projectably... | computer science |
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