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40,110 | Automatic Query Image Disambiguation for Content-Based Image Retrieval | cs.CV | Query images presented to content-based image retrieval systems often have
various different interpretations, making it difficult to identify the search
objective pursued by the user. We propose a technique for overcoming this
ambiguity, while keeping the amount of required user interaction at a minimum.
To achieve thi... | computer science |
40,111 | Background Subtraction via Fast Robust Matrix Completion | cs.CV | Background subtraction is the primary task of the majority of video
inspection systems. The most important part of the background subtraction which
is common among different algorithms is background modeling. In this regard,
our paper addresses the problem of background modeling in a computationally
efficient way, whic... | computer science |
40,112 | Reconstructing Video from Interferometric Measurements of Time-Varying
Sources | cs.CV | Very long baseline interferometry (VLBI) makes it possible to recover images
of astronomical sources with extremely high angular resolution. Most recently,
the Event Horizon Telescope (EHT) has extended VLBI to short millimeter
wavelengths with a goal of achieving angular resolution sufficient for imaging
the event hor... | computer science |
40,113 | RAN: Radical analysis networks for zero-shot learning of Chinese
characters | cs.CV | Chinese characters have a huge set of character categories, more than 20,000
and the number is still increasing as more and more novel characters continue
being created. However, the enormous characters can be decomposed into a few
fundamental structural radicals, only about 500. This paper introduces the
Radical Analy... | computer science |
40,114 | A Survey on Hardware Implementations of Visual Object Trackers | eess.IV | Visual object tracking is an active topic in the computer vision domain with
applications extending over numerous fields. The main sub-tasks required to
build an object tracker (e.g. object detection, feature extraction and object
tracking) are computation-intensive. In addition, real-time operation of the
tracker is i... | computer science |
40,115 | Robotic Tactile Perception of Object Properties: A Review | cs.RO | Touch sensing can help robots understand their sur- rounding environment, and
in particular the objects they interact with. To this end, roboticists have, in
the last few decades, developed several tactile sensing solutions, extensively
reported in the literature. Research into interpreting the conveyed tactile
informa... | computer science |
40,116 | EddyNet: A Deep Neural Network For Pixel-Wise Classification of Oceanic
Eddies | cs.CV | This work presents EddyNet, a deep learning based architecture for automated
eddy detection and classification from Sea Surface Height (SSH) maps provided
by the Copernicus Marine and Environment Monitoring Service (CMEMS). EddyNet is
a U-Net like network that consists of a convolutional encoder-decoder followed
by a p... | computer science |
40,117 | Towards ECDSA key derivation from deep embeddings for novel Blockchain
applications | cs.CV | In this work, we propose a straightforward method to derive Elliptic Curve
Digital Signature Algorithm (ECDSA) key pairs from embeddings created using
Deep Learning and Metric Learning approaches. We also show that these keys
allows the derivation of cryptocurrencies (such as Bitcoin) addresses that can
be used to tran... | computer science |
40,118 | Vertebral body segmentation with GrowCut: Initial experience, workflow
and practical application | cs.CV | In this contribution, we used the GrowCut segmentation algorithm publicly
available in three-dimensional Slicer for three-dimensional segmentation of
vertebral bodies. To the best of our knowledge, this is the first time that the
GrowCut method has been studied for the usage of vertebral body segmentation.
In brief, we... | computer science |
40,119 | An optimized shape descriptor based on structural properties of networks | cs.CV | The structural analysis of shape boundaries leads to the characterization of
objects as well as to the understanding of shape properties. The literature on
graphs and networks have contributed to the structural characterization of
shapes with different theoretical approaches. We performed a study on the
relationship be... | computer science |
40,120 | Robust Real-Time Multi-View Eye Tracking | cs.CV | Despite significant advances in improving the gaze tracking accuracy under
controlled conditions, the tracking robustness under real-world conditions,
such as large head pose and movements, use of eyeglasses, illumination and eye
type variations, remains a major challenge in eye tracking. In this paper, we
revisit this... | computer science |
40,121 | No Reference Stereoscopic Video Quality Assessment Using Joint Motion
and Depth Statistics | cs.CV | We present a no reference (NR) quality assessment algorithm for assessing the
perceptual quality of natural stereoscopic 3D (S3D) videos. This work is
inspired by our finding that the joint statistics of the subband coefficients
of motion (optical flow or motion vector magnitude) and depth (disparity map)
of natural S3... | computer science |
40,122 | Dual-Path Convolutional Image-Text Embedding | cs.CV | This paper considers the task of matching images and sentences. The challenge
consists in discriminatively embedding the two modalities onto a shared
visual-textual space. Existing work in this field largely uses Recurrent Neural
Networks (RNN) for text feature learning and employs off-the-shelf
Convolutional Neural Ne... | computer science |
40,123 | Robust and Precise Vehicle Localization based on Multi-sensor Fusion in
Diverse City Scenes | cs.CV | We present a robust and precise localization system that achieves
centimeter-level localization accuracy in disparate city scenes. Our system
adaptively uses information from complementary sensors such as GNSS, LiDAR, and
IMU to achieve high localization accuracy and resilience in challenging scenes,
such as urban down... | computer science |
40,124 | Hidden Markov Random Field Iterative Closest Point | cs.CV | When registering point clouds resolved from an underlying 2-D pixel
structure, such as those resulting from structured light and flash LiDAR
sensors, or stereo reconstruction, it is expected that some points in one cloud
do not have corresponding points in the other cloud, and that these would occur
together, such as a... | computer science |
40,125 | Fast and Efficient Calculations of Structural Invariants of Chirality | cs.CV | Chirality plays an important role in physics, chemistry, biology, and other
fields. It describes an essential symmetry in structure. However, chirality
invariants are usually complicated in expression or difficult to evaluate. In
this paper, we present five general three-dimensional chirality invariants
based on the ge... | computer science |
40,126 | SUPRA: Open Source Software Defined Ultrasound Processing for Real-Time
Applications | cs.CV | Research in ultrasound imaging is limited in reproducibility by two factors:
First, many existing ultrasound pipelines are protected by intellectual
property, rendering exchange of code difficult. Second, most pipelines are
implemented in special hardware, resulting in limited flexibility of
implemented processing step... | computer science |
40,127 | End-to-end Trained CNN Encode-Decoder Networks for Image Steganography | cs.MM | All the existing image steganography methods use manually crafted features to
hide binary payloads into cover images. This leads to small payload capacity
and image distortion. Here we propose a convolutional neural network based
encoder-decoder architecture for embedding of images as payload. To this end,
we make foll... | computer science |
40,128 | Action Recognition with Coarse-to-Fine Deep Feature Integration and
Asynchronous Fusion | cs.CV | Action recognition is an important yet challenging task in computer vision.
In this paper, we propose a novel deep-based framework for action recognition,
which improves the recognition accuracy by: 1) deriving more precise features
for representing actions, and 2) reducing the asynchrony between different
information ... | computer science |
40,129 | Robust Visual SLAM with Point and Line Features | cs.CV | In this paper, we develop a robust efficient visual SLAM system that utilizes
heterogeneous point and line features. By leveraging ORB-SLAM [1], the proposed
system consists of stereo matching, frame tracking, local mapping, loop
detection, and bundle adjustment of both point and line features. In
particular, as the ma... | computer science |
40,130 | Attended End-to-end Architecture for Age Estimation from Facial
Expression Videos | cs.CV | The main challenges of age estimation from facial expression videos lie not
only in the modeling of the static facial appearance, but also in the capturing
of the temporal facial dynamics. Traditional techniques to this problem focus
on constructing handcrafted features to explore the discriminative information
contain... | computer science |
40,131 | End-to-End Deep HDR Imaging with Large Foreground Motions | cs.CV | This paper proposes the first end-to-end deep framework for high dynamic
range (HDR) imaging of dynamic scenes with large-scale foreground motions. In
state-of-the-art deep HDR imaging such as [13], the problem is formulated as an
image composition problem, by first aligning input images using optical flows
which are s... | computer science |
40,132 | Real-Time Capable Micro-Doppler Signature Decomposition of Walking Human
Limbs | cs.CV | Unique micro-Doppler signature ($\boldsymbol{\mu}$-D) of a human body motion
can be analyzed as the superposition of different body parts
$\boldsymbol{\mu}$-D signatures. Extraction of human limbs $\boldsymbol{\mu}$-D
signatures in real-time can be used to detect, classify and track human motion
especially for safety a... | computer science |
40,133 | Micro-Doppler Based Human-Robot Classification Using Ensemble and Deep
Learning Approaches | cs.CV | Radar sensors can be used for analyzing the induced frequency shifts due to
micro-motions in both range and velocity dimensions identified as micro-Doppler
($\boldsymbol{\mu}$-D) and micro-Range ($\boldsymbol{\mu}$-R), respectively.
Different moving targets will have unique $\boldsymbol{\mu}$-D and
$\boldsymbol{\mu}$-R... | computer science |
40,134 | Compressive Sensing of Color Images Using Nonlocal Higher Order
Dictionary | eess.IV | This paper addresses an ill-posed problem of recovering a color image from
its compressively sensed measurement data. Differently from the typical 1D
vector-based approach of the state-of-the-art methods, we exploit the nonlocal
similarities inherently existing in images by treating each patch of a color
image as a 3D ... | computer science |
40,135 | Accelerated Optimization in the PDE Framework: Formulations for the
Active Contour Case | cs.NA | Following the seminal work of Nesterov, accelerated optimization methods have
been used to powerfully boost the performance of first-order, gradient-based
parameter estimation in scenarios where second-order optimization strategies
are either inapplicable or impractical. Not only does accelerated gradient
descent conve... | computer science |
40,136 | Pulsar Candidate Identification with Artificial Intelligence Techniques | cs.CV | Discovering pulsars is a significant and meaningful research topic in the
field of radio astronomy. With the advent of astronomical instruments such as
he Five-hundred-meter Aperture Spherical Telescope (FAST) in China, data
volumes and data rates are exponentially growing. This fact necessitates a
focus on artificial ... | computer science |
40,137 | Openmv: A Python powered, extensible machine vision camera | cs.CV | Advances in semiconductor manufacturing processes and large scale integration
keep pushing demanding applications further away from centralized processing,
and closer to the edges of the network (i.e. Edge Computing). It has become
possible to perform complex in-network image processing using low-power
embedded smart c... | computer science |
40,138 | Compression for Smooth Shape Analysis | cs.CV | Most 3D shape analysis methods use triangular meshes to discretize both the
shape and functions on it as piecewise linear functions. With this
representation, shape analysis requires fine meshes to represent smooth shapes
and geometric operators like normals, curvatures, or Laplace-Beltrami
eigenfunctions at large comp... | computer science |
40,139 | A fast nonconvex Compressed Sensing algorithm for highly low-sampled MR
images reconstruction | cs.NA | In this paper we present a fast and efficient method for the reconstruction
of Magnetic Resonance Images (MRI) from severely under-sampled data. From the
Compressed Sensing theory we have mathematically modeled the problem as a
constrained minimization problem with a family of non-convex regularizing
objective function... | computer science |
40,140 | Properties on n-dimensional convolution for image deconvolution | eess.IV | Convolution system is linear and time invariant, and can describe the optical
imaging process. Based on convolution system, many deconvolution techniques
have been developed for optical image analysis, such as boosting the space
resolution of optical images, image denoising, image enhancement and so on.
Here, we gave p... | computer science |
40,141 | Single-epoch supernova classification with deep convolutional neural
networks | cs.CV | Supernovae Type-Ia (SNeIa) play a significant role in exploring the history
of the expansion of the Universe, since they are the best-known standard
candles with which we can accurately measure the distance to the objects.
Finding large samples of SNeIa and investigating their detailed characteristics
have become an im... | computer science |
40,142 | Towards understanding feedback from supermassive black holes using
convolutional neural networks | cs.CV | Supermassive black holes at centers of clusters of galaxies strongly interact
with their host environment via AGN feedback. Key tracers of such activity are
X-ray cavities -- regions of lower X-ray brightness within the cluster. We
present an automatic method for detecting, and characterizing X-ray cavities in
noisy, l... | computer science |
40,143 | Towards Quality Advancement of Underwater Machine Vision with Generative
Adversarial Networks | cs.CV | Underwater machine vision has attracted significant attention, but its low
quality has prevented it from a wide range of applications. Although many
different algorithms have been developed to solve this problem, real-time
adaptive methods are frequently deficient. In this paper, based on filtering
and the use of gener... | computer science |
40,144 | Semi-Global Stereo Matching with Surface Orientation Priors | cs.CV | Semi-Global Matching (SGM) is a widely-used efficient stereo matching
technique. It works well for textured scenes, but fails on untextured slanted
surfaces due to its fronto-parallel smoothness assumption. To remedy this
problem, we propose a simple extension, termed SGM-P, to utilize precomputed
surface orientation p... | computer science |
40,145 | Optimizing colormaps with consideration for color vision deficiency to
enable accurate interpretation of scientific data | cs.CV | Color vision deficiency (CVD) affects 8.5% of the population and leads to a
different visual perception of colors. Though this has been known for decades,
colormaps with many colors across the visual spectra are often used to
represent data, leading to the potential for misinterpretation or difficulty
with interpretati... | computer science |
40,146 | Avaliação do método dialético na quantização de imagens
multiespectrais | cs.CV | The unsupervised classification has a very important role in the analysis of
multispectral images, given its ability to assist the extraction of a priori
knowledge of images. Algorithms like k-means and fuzzy c-means has long been
used in this task. Computational Intelligence has proven to be an important
field to assi... | computer science |
40,147 | Avaliação da doença de Alzheimer pela análise multiespectral
de imagens DW-MR por redes RBF como alternativa aos mapas ADC | cs.CV | Alzheimer's disease is the most common cause of dementia, yet difficult to
accurately diagnose without the use of invasive techniques, particularly at the
beginning of the disease. This work addresses the classification and analysis
of multispectral synthetic images composed by diffusion-weighted magnetic
resonance bra... | computer science |
40,148 | Towards Practical Verification of Machine Learning: The Case of Computer
Vision Systems | cs.CR | Due to the increasing usage of machine learning (ML) techniques in security-
and safety-critical domains, such as autonomous systems and medical diagnosis,
ensuring correct behavior of ML systems, especially for different corner cases,
is of growing importance. In this paper, we propose a generic framework for
evaluati... | computer science |
40,149 | Online and Batch Supervised Background Estimation via L1 Regression | math.OC | We propose a surprisingly simple model for supervised video background
estimation. Our model is based on $\ell_1$ regression. As existing methods for
$\ell_1$ regression do not scale to high-resolution videos, we propose several
simple and scalable methods for solving the problem, including iteratively
reweighted least... | computer science |
40,150 | An End to End Deep Neural Network for Iris Segmentation in Unconstraint
Scenarios | eess.IV | With the increasing imaging and processing capabilities of today's mobile
devices, user authentication using iris biometrics has become feasible.
However, as the acquisition conditions become more unconstrained and as image
quality is typically lower than dedicated iris acquisition systems, the
accurate segmentation of... | computer science |
40,151 | Simultaneous Hand Pose and Skeleton Bone-Lengths Estimation from a
Single Depth Image | cs.HC | Articulated hand pose estimation is a challenging task for human-computer
interaction. The state-of-the-art hand pose estimation algorithms work only
with one or a few subjects for which they have been calibrated or trained.
Particularly, the hybrid methods based on learning followed by model fitting or
model based dee... | computer science |
40,152 | A Deep Recurrent Framework for Cleaning Motion Capture Data | cs.GR | We present a deep, bidirectional, recurrent framework for cleaning noisy and
incomplete motion capture data. It exploits temporal coherence and joint
correlations to infer adaptive filters for each joint in each frame. A single
model can be trained to denoise a heterogeneous mix of action types, under
substantial amoun... | computer science |
40,153 | Noise Level Estimation for Overcomplete Dictionary Learning Based on
Tight Asymptotic Bounds | eess.SP | In this letter, we address the problem of estimating Gaussian noise level
from the trained dictionaries in update stage. We first provide rigorous
statistical analysis on the eigenvalue distributions of a sample covariance
matrix. Then we propose an interval-bounded estimator for noise variance in
high dimensional sett... | computer science |
40,154 | Sketch Layer Separation in Multi-Spectral Historical Document Images | cs.CV | High-resolution imaging has delivered new prospects for detecting the
material composition and structure of cultural treasures. Despite the various
techniques for analysis, a significant diagnostic gap remained in the range of
available research capabilities for works on paper. Old master drawings were
mostly composed ... | computer science |
40,155 | Domain Adaptation Using Adversarial Learning for Autonomous Navigation | cs.CV | Autonomous navigation has become an increasingly popular machine learning
application. Recent advances in deep learning have also brought huge
improvements to autonomous navigation. However, prior outdoor autonomous
navigation methods depended on various expensive sensors or expensive and
sometimes erroneously labeled ... | computer science |
40,156 | Identifying the Mislabeled Training Samples of ECG Signals using Machine
Learning | eess.SP | The classification accuracy of electrocardiogram signal is often affected by
diverse factors in which mislabeled training samples issue is one of the most
influential problems. In order to mitigate this negative effect, the method of
cross validation is introduced to identify the mislabeled samples. The method
utilizes... | computer science |
40,157 | Image Registration for the Alignment of Digitized Historical Documents | cs.CV | In this work, we conducted a survey on different registration algorithms and
investigated their suitability for hyperspectral historical image registration
applications. After the evaluation of different algorithms, we choose an
intensity based registration algorithm with a curved transformation model. For
the transfor... | computer science |
40,158 | Learning to Navigate by Growing Deep Networks | cs.RO | Adaptability is central to autonomy. Intuitively, for high-dimensional
learning problems such as navigating based on vision, internal models with
higher complexity allow to accurately encode the information available.
However, most learning methods rely on models with a fixed structure and
complexity. In this paper, we... | computer science |
40,159 | A novel nonconvex approach to recover the low-tubal-rank tensor data:
when t-SVD meets PSSV | cs.NA | A recently developed novel tensor decomposition scheme named tensor singular
value decomposition (t-SVD) results in a notion of rank referred to as the
tubal-rank. Many methods minimize its convex surrogate the tensor nuclear norm
(TNN) to enhance the low tubal-rankness of the underlying data. Generally,
minimizing the... | computer science |
40,160 | Flexible Stereo: Constrained, Non-rigid, Wide-baseline Stereo Vision for
Fixed-wing Aerial Platforms | cs.RO | This paper proposes a computationally efficient method to estimate the
time-varying relative pose between two visual-inertial sensor rigs mounted on
the flexible wings of a fixed-wing unmanned aerial vehicle (UAV). The estimated
relative poses are used to generate highly accurate depth maps in real-time and
can be empl... | computer science |
40,161 | Real-time 3D Reconstruction on Construction Site using Visual SLAM and
UAV | cs.RO | 3D reconstruction can be used as a platform to monitor the performance of
activities on construction site, such as construction progress monitoring,
structure inspection and post-disaster rescue. Comparing to other sensors, RGB
image has the advantages of low-cost, texture rich and easy to implement that
has been used ... | computer science |
40,162 | Y-net: 3D intracranial artery segmentation using a convolutional
autoencoder | eess.IV | Automated segmentation of intracranial arteries on magnetic resonance
angiography (MRA) allows for quantification of cerebrovascular features, which
provides tools for understanding aging and pathophysiological adaptations of
the cerebrovascular system. Using a convolutional autoencoder (CAE) for
segmentation is promis... | computer science |
40,163 | AVEID: Automatic Video System for Measuring Engagement In Dementia | cs.HC | Engagement in dementia is typically measured using behavior observational
scales (BOS) that are tedious and involve intensive manual labor to annotate,
and are therefore not easily scalable. We propose AVEID, a low cost and
easy-to-use video-based engagement measurement tool to determine the engagement
level of a perso... | computer science |
40,164 | Detection and Tracking of General Movable Objects in Large 3D Maps | cs.RO | This paper studies the problem of detection and tracking of general objects
with long-term dynamics, observed by a mobile robot moving in a large
environment. A key problem is that due to the environment scale, it can only
observe a subset of the objects at any given time. Since some time passes
between observations of... | computer science |
40,165 | Boundary-sensitive Network for Portrait Segmentation | cs.CV | Compared to the general semantic segmentation problem, portrait segmentation
has higher precision requirement on boundary area. However, this problem has
not been well studied in previous works. In this paper, we propose a
boundary-sensitive deep neural network (BSN) for portrait segmentation. BSN
introduces three nove... | computer science |
40,166 | Towards Structured Analysis of Broadcast Badminton Videos | cs.CV | Sports video data is recorded for nearly every major tournament but remains
archived and inaccessible to large scale data mining and analytics. It can only
be viewed sequentially or manually tagged with higher-level labels which is
time consuming and prone to errors. In this work, we propose an end-to-end
framework for... | computer science |
40,167 | Texture Object Segmentation Based on Affine Invariant Texture Detection | eess.IV | To solve the issue of segmenting rich texture images, a novel detection
methods based on the affine invariable principle is proposed. Considering the
similarity between the texture areas, we first take the affine transform to get
numerous shapes, and utilize the KLT algorithm to verify the similarity. The
transforms in... | computer science |
40,168 | PuRe: Robust pupil detection for real-time pervasive eye tracking | cs.CV | Real-time, accurate, and robust pupil detection is an essential prerequisite
to enable pervasive eye-tracking and its applications -- e.g., gaze-based human
computer interaction, health monitoring, foveated rendering, and advanced
driver assistance. However, automated pupil detection has proved to be an
intricate task ... | computer science |
40,169 | Polyp detection inside the capsule endoscopy: an approach for power
consumption reduction | eess.IV | Capsule endoscopy is a novel and non-invasive method for diagnosis, which
assists gastroenterologists to monitor the digestive track. Although this new
technology has many advantages over the conventional endoscopy, there are
weaknesses that limits the usage of this technology. Some weaknesses are due to
using small-si... | computer science |
40,170 | A PDE-based log-agnostic illumination correction algorithm | cs.CV | This report presents the results of a partial differential equation
(PDE)-based image enhancement algorithm, for dynamic range compression and
illumination correction in the absence of the logarithmic function. The
proposed algorithm combines forward and reverse flows in a PDE-based
formulation. The experimental result... | computer science |
40,171 | Adversarial Generative Nets: Neural Network Attacks on State-of-the-Art
Face Recognition | cs.CV | In this paper we show that misclassification attacks against face-recognition
systems based on deep neural networks (DNNs) are more dangerous than previously
demonstrated, even in contexts where the adversary can manipulate only her
physical appearance (versus directly manipulating the image input to the DNN).
Specific... | computer science |
40,172 | Image denoising through bivariate shrinkage function in framelet domain | eess.IV | Denoising of coefficients in a sparse domain (e.g. wavelet) has been
researched extensively because of its simplicity and effectiveness. Literature
mainly has focused on designing the best global threshold. However, this paper
proposes a new denoising method using bivariate shrinkage function in framelet
domain. In the... | computer science |
40,173 | Joint convolutional neural pyramid for depth map super-resolution | cs.CV | High-resolution depth map can be inferred from a low-resolution one with the
guidance of an additional high-resolution texture map of the same scene.
Recently, deep neural networks with large receptive fields are shown to benefit
applications such as image completion. Our insight is that super resolution is
similar to ... | computer science |
40,174 | Computational complexity lower bounds of certain discrete Radon
transform approximations | cs.CC | For the computational model where only additions are allowed, the
$\Omega(n^2\log n)$ lower bound on operations count with respect to image size
$n\times n$ is obtained for two types of the discrete Radon transform
implementations: the fast Hough transform and a generic strip pattern class
which includes the classical ... | computer science |
40,175 | Cross-domain Human Parsing via Adversarial Feature and Label Adaptation | cs.CV | Human parsing has been extensively studied recently due to its wide
applications in many important scenarios. Mainstream fashion parsing models
focus on parsing the high-resolution and clean images. However, directly
applying the parsers trained on benchmarks to a particular application scenario
in the wild, e.g., a ca... | computer science |
40,176 | SmartTennisTV: Automatic indexing of tennis videos | cs.CV | In this paper, we demonstrate a score based indexing approach for tennis
videos. Given a broadcast tennis video (BTV), we index all the video segments
with their scores to create a navigable and searchable match. Our approach
temporally segments the rallies in the video and then recognizes the scores
from each of the s... | computer science |
40,177 | Cross-Sensor Iris Recognition: LG4000-to-LG2200 Comparison | eess.IV | Cross-sensor comparison experimental results reported here show that the
procedure defined and simulated during the Cross-Sensor Comparison Competition
2013 by our team for migrating / upgrading LG2200 based to LG4000 based
biometric systems leads to better LG4000-to-LG2200 cross-sensor iris
recognition results than pr... | computer science |
40,178 | Face Flashing: a Secure Liveness Detection Protocol based on Light
Reflections | cs.CV | Face authentication systems are becoming increasingly prevalent, especially
with the rapid development of Deep Learning technologies. However, human facial
information is easy to be captured and reproduced, which makes face
authentication systems vulnerable to various attacks. Liveness detection is an
important defense... | computer science |
40,179 | Convex Relaxations for Pose Graph Optimization with Outliers | cs.RO | Pose Graph Optimization involves the estimation of a set of poses from
pairwise measurements and provides a formalization for many problems arising in
mobile robotics and geometric computer vision. In this paper, we consider the
case in which a subset of the measurements fed to pose graph optimization is
spurious. Our ... | computer science |
40,180 | Unsupervised Discovery of Toxoplasma gondii Motility Phenotypes | cs.CV | Toxoplasma gondii is a parasitic protozoan that causes dis- seminated
toxoplasmosis, a disease that afflicts roughly a third of the worlds
population. Its virulence is predicated on its motility and ability to enter
and exit nucleated cells; therefore, studies elucidating its mechanism of
motility and in particular, it... | computer science |
40,181 | Generative Sensing: Transforming Unreliable Sensor Data for Reliable
Recognition | cs.CV | This paper introduces a deep learning enabled generative sensing framework
which integrates low-end sensors with computational intelligence to attain a
high recognition accuracy on par with that attained with high-end sensors. The
proposed generative sensing framework aims at transforming low-end, low-quality
sensor da... | computer science |
40,182 | Towards Multi-Object Detection and Tracking in Urban Scenario under
Uncertainties | cs.CV | Urban-oriented autonomous vehicles require a reliable perception technology
to tackle the high amount of uncertainties. The recently introduced compact 3D
LIDAR sensor offers a surround spatial information that can be exploited to
enhance the vehicle perception. We present a real-time integrated framework of
multi-targ... | computer science |
40,183 | Brain MRI Super Resolution Using 3D Deep Densely Connected Neural
Networks | cs.CV | Magnetic resonance image (MRI) in high spatial resolution provides detailed
anatomical information and is often necessary for accurate quantitative
analysis. However, high spatial resolution typically comes at the expense of
longer scan time, less spatial coverage, and lower signal to noise ratio (SNR).
Single Image Su... | computer science |
40,184 | Data Augmentation for Brain-Computer Interfaces: Analysis on
Event-Related Potentials Data | cs.CV | On image data, data augmentation is becoming less relevant due to the large
amount of available training data and regularization techniques. Common
approaches are moving windows (cropping), scaling, affine distortions, random
noise, and elastic deformations. For electroencephalographic data, the lack of
sufficient trai... | computer science |
40,185 | Cortical-inspired image reconstruction via sub-Riemannian geometry and
hypoelliptic diffusion | cs.CV | In this paper we review several algorithms for image inpainting based on the
hypoelliptic diffusion naturally associated with a mathematical model of the
primary visual cortex. In particular, we present one algorithm that does not
exploit the information of where the image is corrupted, and others that do it.
While the... | computer science |
40,186 | The Unreasonable Effectiveness of Deep Features as a Perceptual Metric | cs.CV | While it is nearly effortless for humans to quickly assess the perceptual
similarity between two images, the underlying processes are thought to be quite
complex. Despite this, the most widely used perceptual metrics today, such as
PSNR and SSIM, are simple, shallow functions, and fail to account for many
nuances of hu... | computer science |
40,187 | Enhancing Underwater Imagery using Generative Adversarial Networks | cs.CV | Autonomous underwater vehicles (AUVs) rely on a variety of sensors -
acoustic, inertial and visual - for intelligent decision making. Due to its
non-intrusive, passive nature, and high information content, vision is an
attractive sensing modality, particularly at shallower depths. However, factors
such as light refract... | computer science |
40,188 | How to augment a small learning set for improving the performances of a
CNN-based steganalyzer? | cs.MM | Deep learning and convolutional neural networks (CNN) have been intensively
used in many image processing topics during last years. As far as steganalysis
is concerned, the use of CNN allows reaching the state-of-the-art results. The
performances of such networks often rely on the size of their learning
database. An ob... | computer science |
40,189 | Circular Antenna Array Design for Breast Cancer Detection | cs.CV | Microwave imaging for breast cancer detection is based on the contrast in the
electrical properties of healthy fatty breast tissues. This paper presents an
industrial, scientific and medical (ISM) bands comparative study of five
microstrip patch antennas for microwave imaging at a frequency of 2.45 GHz. The
choice of o... | computer science |
40,190 | TexT - Text Extractor Tool for Handwritten Document Transcription and
Annotation | cs.DL | This paper presents a framework for semi-automatic transcription of
large-scale historical handwritten documents and proposes a simple
user-friendly text extractor tool, TexT for transcription. The proposed
approach provides a quick and easy transcription of text using computer
assisted interactive technique. The algor... | computer science |
40,191 | Deep Network for Simultaneous Decomposition and Classification in
UWB-SAR Imagery | eess.IV | Classifying buried and obscured targets of interest from other natural and
manmade clutter objects in the scene is an important problem for the U.S. Army.
Targets of interest are often represented by signals captured using
low-frequency (UHF to L-band) ultra-wideband (UWB) synthetic aperture radar
(SAR) technology. Thi... | computer science |
40,192 | Identification of Seed Cells in Multispectral Images for GrowCut
Segmentation | eess.IV | The segmentation of satellite images is a necessary step to perform
object-oriented image classification, which has become relevant due to its
applicability on images with a high spatial resolution. To perform
object-oriented image classification, the studied image must first be segmented
in uniform regions. This segme... | computer science |
40,193 | Cahn--Hilliard inpainting with the double obstacle potential | math.AP | The inpainting of damaged images has a wide range of applications and many
different mathematical methods have been proposed to solve this problem.
Inpainting witht the help of Cahn--Hilliard models has been particularly
successful, and it turns out that Cahn--Hilliard inpainting with the double
obstacle potential can ... | computer science |
40,194 | Invariants of multidimensional time series based on their
iterated-integral signature | cs.CV | We introduce a novel class of features for multidimensional time series, that
are invariant with respect to transformations of the ambient space. The general
linear group, the group of rotations and the group of permutations of the axes
are considered. The starting point for their construction is Chen's
iterated-integr... | computer science |
40,195 | Deep Chain HDRI: Reconstructing a High Dynamic Range Image from a Single
Low Dynamic Range Image | cs.CV | In this paper, we propose a novel deep neural network model that reconstructs
a high dynamic range (HDR) image from a single low dynamic range (LDR) image.
The proposed model is based on a convolutional neural network composed of
dilated convolutional layers, and infers LDR images with various exposures and
illuminatio... | computer science |
40,196 | BinaryRelax: A Relaxation Approach For Training Deep Neural Networks
With Quantized Weights | cs.CV | We propose BinaryRelax, a simple two-phase algorithm, for training deep
neural networks with quantized weights. The set constraint that characterizes
the quantization of weights is not imposed until the late stage of training,
and a sequence of pseudo quantized weights is maintained. Specifically, we
relax the hard con... | computer science |
40,197 | Image Provenance Analysis at Scale | cs.CV | Prior art has shown it is possible to estimate, through image processing and
computer vision techniques, the types and parameters of transformations that
have been applied to the content of individual images to obtain new images.
Given a large corpus of images and a query image, an interesting further step
is to retrie... | computer science |
40,198 | Multiple Description Convolutional Neural Networks for Image Compression | cs.MM | Multiple description coding (MDC) is able to stably transmit the signal in
the un-reliable and non-prioritized networks, which has been broadly studied
for several decades. However, the traditional MDC doesn't well leverage image's
context features to generate multiple descriptions. In this paper, we propose a
novel st... | computer science |
40,199 | Determination of Digital Straight Segments Using the Slope | cs.CV | We present a new method for the recognition of digital straight lines based
on the slope. This method combines the Freeman's chain coding scheme and new
discovered properties of the digital slope introduced in this paper. We also
present the efficiency of our method from a testbed. | computer science |
40,200 | DeepISP: Learning End-to-End Image Processing Pipeline | eess.IV | We present DeepISP, a full end-to-end deep neural model of the camera image
signal processing (ISP) pipeline. Our model learns a mapping from the raw
low-light mosaiced image to the final visually compelling image and encompasses
low-level tasks such as demosaicing and denoising as well as higher-level tasks
such as co... | computer science |
40,201 | PU-Net: Point Cloud Upsampling Network | cs.CV | Learning and analyzing 3D point cloud with deep networks is challenging due
to the sparseness and irregularity of the data. In this paper, we present a
data-driven point cloud upsampling technique. The key idea is to learn
multi-level features per point, and then expanding them via a multi-branch
convolution unit, to i... | computer science |
40,202 | Food recognition and recipe analysis: integrating visual content,
context and external knowledge | cs.CV | The central role of food in our individual and social life, combined with
recent technological advances, has motivated a growing interest in applications
that help to better monitor dietary habits as well as the exploration and
retrieval of food-related information. We review how visual content, context
and external kn... | computer science |
40,203 | High Resolution Face Completion with Multiple Controllable Attributes
via Fully End-to-End Progressive Generative Adversarial Networks | cs.CV | We present a deep learning approach for high resolution face completion with
multiple controllable attributes (e.g., male and smiling) under arbitrary
masks. Face completion entails understanding both structural meaningfulness and
appearance consistency locally and globally to fill in "holes" whose content do
not appea... | computer science |
40,204 | Generative Image Inpainting with Contextual Attention | cs.CV | Recent deep learning based approaches have shown promising results for the
challenging task of inpainting large missing regions in an image. These methods
can generate visually plausible image structures and textures, but often create
distorted structures or blurry textures inconsistent with surrounding areas.
This is ... | computer science |
40,205 | DVQA: Understanding Data Visualizations via Question Answering | cs.CV | Bar charts are an effective way for humans to convey information to each
other, but today's algorithms cannot parse them. Existing methods fail when
faced with minor variations in appearance. Here, we present DVQA, a dataset
that tests many aspects of bar chart understanding in a question answering
framework. Unlike vi... | computer science |
40,206 | A Tutorial on Modeling and Inference in Undirected Graphical Models for
Hyperspectral Image Analysis | cs.CV | Undirected graphical models have been successfully used to jointly model the
spatial and the spectral dependencies in earth observing hyperspectral images.
They produce less noisy, smooth, and spatially coherent land cover maps and
give top accuracies on many datasets. Moreover, they can easily be combined
with other s... | computer science |
40,207 | Identifying Corresponding Patches in SAR and Optical Images with a
Pseudo-Siamese CNN | eess.IV | In this letter, we propose a pseudo-siamese convolutional neural network
(CNN) architecture that enables to solve the task of identifying corresponding
patches in very-high-resolution (VHR) optical and synthetic aperture radar
(SAR) remote sensing imagery. Using eight convolutional layers each in two
parallel network s... | computer science |
40,208 | An Integrated Soft Computing Approach to a Multi-biometric Security
Model | cs.CV | The abstract of the thesis consists of three sections, videlicet,
Motivation
Chapter Organization
Salient Contributions.
The complete abstract is included with the thesis. The final section on
Salient Contributions is reproduced below.
Salient Contributions
The research presents the following salient contri... | computer science |
40,209 | 3D Scanning: A Comprehensive Survey | cs.CV | This paper provides an overview of 3D scanning methodologies and technologies
proposed in the existing scientific and industrial literature. Throughout the
paper, various types of the related techniques are reviewed, which consist,
mainly, of close-range, aerial, structure-from-motion and terrestrial
photogrammetry, an... | computer science |
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