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39,510 | Bag of Attributes for Video Event Retrieval | cs.IR | In this paper, we present the Bag-of-Attributes (BoA) model for video
representation aiming at video event retrieval. The BoA model is based on a
semantic feature space for representing videos, resulting in high-level video
feature vectors. For creating a semantic space, i.e., the attribute space, we
can train a classi... | computer science |
39,511 | On Differentiating Parameterized Argmin and Argmax Problems with
Application to Bi-level Optimization | cs.CV | Some recent works in machine learning and computer vision involve the
solution of a bi-level optimization problem. Here the solution of a
parameterized lower-level problem binds variables that appear in the objective
of an upper-level problem. The lower-level problem typically appears as an
argmin or argmax optimizatio... | computer science |
39,512 | Fast Robust Monocular Depth Estimation for Obstacle Detection with Fully
Convolutional Networks | cs.RO | Obstacle Detection is a central problem for any robotic system, and critical
for autonomous systems that travel at high speeds in unpredictable environment.
This is often achieved through scene depth estimation, by various means. When
fast motion is considered, the detection range must be longer enough to allow
for saf... | computer science |
39,513 | Rank Correlation Measure: A Representational Transformation for
Biometric Template Protection | cs.CV | Despite a variety of theoretical-sound techniques have been proposed for
biometric template protection, there is rarely practical solution that
guarantees non-invertibility, cancellability, non-linkability and performance
simultaneously. In this paper, a ranking-based representational transformation
is proposed for fin... | computer science |
39,514 | Autonomous Ingress of a UAV through a window using Monocular Vision | cs.CV | The use of autonomous UAVs for surveillance purposes and other reconnaissance
tasks is increasingly becoming popular and convenient.These tasks requires the
ability to successfully ingress through the rectangular openings or windows of
the target structure.In this paper, a method to robustly detect the window in
the su... | computer science |
39,515 | Exploiting Symmetry and/or Manhattan Properties for 3D Object Structure
Estimation from Single and Multiple Images | cs.CV | Many man-made objects have intrinsic symmetries and Manhattan structure. By
assuming an orthographic projection model, this paper addresses the estimation
of 3D structures and camera projection using symmetry and/or Manhattan
structure cues, which occur when the input is single- or multiple-image from
the same category... | computer science |
39,516 | Much Ado About Time: Exhaustive Annotation of Temporal Data | cs.HC | Large-scale annotated datasets allow AI systems to learn from and build upon
the knowledge of the crowd. Many crowdsourcing techniques have been developed
for collecting image annotations. These techniques often implicitly rely on the
fact that a new input image takes a negligible amount of time to perceive. In
contras... | computer science |
39,517 | A Multiple Kernel Learning Approach for Human Behavioral Task
Classification using STN-LFP Signal | cs.CV | Deep Brain Stimulation (DBS) has gained increasing attention as an effective
method to mitigate Parkinsons disease (PD) disorders. Existing DBS systems are
open-loop such that the system parameters are not adjusted automatically based
on patients behavior. Classification of human behavior is an important step in
the de... | computer science |
39,518 | Spatial probabilistic pulsatility model for enhancing
photoplethysmographic imaging systems | cs.CV | Photolethysmographic imaging (PPGI) is a widefield non-contact biophotonic
technology able to remotely monitor cardiovascular function over anatomical
areas. Though spatial context can provide increased physiological insight,
existing PPGI systems rely on coarse spatial averaging with no anatomical
priors for assessing... | computer science |
39,519 | Adaptive foveated single-pixel imaging with dynamic super-sampling | cs.CV | As an alternative to conventional multi-pixel cameras, single-pixel cameras
enable images to be recorded using a single detector that measures the
correlations between the scene and a set of patterns. However, to fully sample
a scene in this way requires at least the same number of correlation
measurements as there are... | computer science |
39,520 | A Nonlocal Denoising Algorithm for Manifold-Valued Images Using Second
Order Statistics | cs.CV | Nonlocal patch-based methods, in particular the Bayes' approach of Lebrun,
Buades and Morel (2013), are considered as state-of-the-art methods for
denoising (color) images corrupted by white Gaussian noise of moderate
variance. This paper is the first attempt to generalize this technique to
manifold-valued images. Such... | computer science |
39,521 | A 58.6mW Real-Time Programmable Object Detector with Multi-Scale
Multi-Object Support Using Deformable Parts Model on 1920x1080 Video at 30fps | cs.CV | This paper presents a programmable, energy-efficient and real-time object
detection accelerator using deformable parts models (DPM), with 2x higher
accuracy than traditional rigid body models. With 8 deformable parts detection,
three methods are used to address the high computational complexity:
classification pruning ... | computer science |
39,522 | Image Prediction for Limited-angle Tomography via Deep Learning with
Convolutional Neural Network | cs.CV | Limited angle problem is a challenging issue in x-ray computed tomography
(CT) field. Iterative reconstruction methods that utilize the additional prior
can suppress artifacts and improve image quality, but unfortunately require
increased computation time. An interesting way is to restrain the artifacts in
the images r... | computer science |
39,523 | Complexity of Discrete Energy Minimization Problems | cs.CV | Discrete energy minimization is widely-used in computer vision and machine
learning for problems such as MAP inference in graphical models. The problem,
in general, is notoriously intractable, and finding the global optimal solution
is known to be NP-hard. However, is it possible to approximate this problem
with a reas... | computer science |
39,524 | Exploiting Temporal Information for DCNN-based Fine-Grained Object
Classification | cs.CV | Fine-grained classification is a relatively new field that has concentrated
on using information from a single image, while ignoring the enormous potential
of using video data to improve classification. In this work we present the
novel task of video-based fine-grained object classification, propose a
corresponding new... | computer science |
39,525 | Dimensionality reduction based on Distance Preservation to Local Mean
(DPLM) for SPD matrices and its application in BCI | cs.NA | In this paper, we propose a nonlinear dimensionality reduction algorithm for
the manifold of Symmetric Positive Definite (SPD) matrices that considers the
geometry of SPD matrices and provides a low dimensional representation of the
manifold with high class discrimination. The proposed algorithm, tries to
preserve the ... | computer science |
39,526 | Towards Learning to Perceive and Reason About Liquids | cs.RO | Recent advances in AI and robotics have claimed many incredible results with
deep learning, yet no work to date has applied deep learning to the problem of
liquid perception and reasoning. In this paper, we apply fully-convolutional
deep neural networks to the tasks of detecting and tracking liquids. We
evaluate three ... | computer science |
39,527 | PicHunt: Social Media Image Retrieval for Improved Law Enforcement | cs.MM | First responders are increasingly using social media to identify and reduce
crime for well-being and safety of the society. Images shared on social media
hurting religious, political, communal and other sentiments of people, often
instigate violence and create law & order situations in society. This results
in the need... | computer science |
39,528 | Fuzzy-based Propagation of Prior Knowledge to Improve Large-Scale Image
Analysis Pipelines | cs.CV | Many automatically analyzable scientific questions are well-posed and offer a
variety of information about the expected outcome a priori. Although often
being neglected, this prior knowledge can be systematically exploited to make
automated analysis operations sensitive to a desired phenomenon or to evaluate
extracted ... | computer science |
39,529 | Permutation NMF | cs.CV | Nonnegative Matrix Factorization(NMF) is a common used technique in machine
learning to extract features out of data such as text documents and images
thanks to its natural clustering properties. In particular, it is popular in
image processing since it can decompose several pictures and recognize common
parts if they'... | computer science |
39,530 | An efficient iterative thresholding method for image segmentation | cs.CV | We proposed an efficient iterative thresholding method for multi-phase image
segmentation. The algorithm is based on minimizing piecewise constant
Mumford-Shah functional in which the contour length (or perimeter) is
approximated by a non-local multi-phase energy. The minimization problem is
solved by an iterative meth... | computer science |
39,531 | Blind Deconvolution of PET Images using Anatomical Priors | cs.CV | Images from positron emission tomography (PET) provide metabolic information
about the human body. They present, however, a spatial resolution that is
limited by physical and instrumental factors often modeled by a blurring
function. Since this function is typically unknown, blind deconvolution (BD)
techniques are need... | computer science |
39,532 | Photometric Bundle Adjustment for Vision-Based SLAM | cs.CV | We propose a novel algorithm for the joint refinement of structure and motion
parameters from image data directly without relying on fixed and known
correspondences. In contrast to traditional bundle adjustment (BA) where the
optimal parameters are determined by minimizing the reprojection error using
tracked features,... | computer science |
39,533 | SANTIAGO: Spine Association for Neuron Topology Improvement and Graph
Optimization | cs.CV | Developing automated and semi-automated solutions for reconstructing wiring
diagrams of the brain from electron micrographs is important for advancing the
field of connectomics. While the ultimate goal is to generate a graph of neuron
connectivity, most prior automated methods have focused on volume segmentation
rather... | computer science |
39,534 | A Factorization Approach to Inertial Affine Structure from Motion | cs.CV | We consider the problem of reconstructing a 3-D scene from a moving camera
with high frame rate using the affine projection model. This problem is
traditionally known as Affine Structure from Motion (Affine SfM), and can be
solved using an elegant low-rank factorization formulation. In this paper, we
assume that an acc... | computer science |
39,535 | Steerable Principal Components for Space-Frequency Localized Images | cs.CV | This paper describes a fast and accurate method for obtaining steerable
principal components from a large dataset of images, assuming the images are
well localized in space and frequency. The obtained steerable principal
components are optimal for expanding the images in the dataset and all of their
rotations. The meth... | computer science |
39,536 | Multi-View Product Image Search Using Deep ConvNets Representations | cs.CV | Multi-view product image queries can improve retrieval performance over
single view queries significantly. In this paper, we investigated the
performance of deep convolutional neural networks (ConvNets) on multi-view
product image search. First, we trained a VGG-like network to learn deep
ConvNets representations of pr... | computer science |
39,537 | Speech Signal Analysis for the Estimation of Heart Rates Under Different
Emotional States | cs.SD | A non-invasive method for the monitoring of heart activity can help to reduce
the deaths caused by heart disorders such as stroke, arrhythmia and heart
attack. The human voice can be considered as a biometric data that can be used
for estimation of heart rate. In this paper, we propose a method for estimating
the heart... | computer science |
39,538 | Scout-It: Interior tomography using modified scout acquisition | cs.CV | Global scout views have been previously used to reduce interior
reconstruction artifacts in high-resolution micro-CT and C-arm systems. However
these methods cannot be directly used in the all-important domain of clinical
CT. This is because when the CT scan is truncated, the scout views are also
truncated. However man... | computer science |
39,539 | Detecting Dominant Vanishing Points in Natural Scenes with Application
to Composition-Sensitive Image Retrieval | cs.CV | Linear perspective is widely used in landscape photography to create the
impression of depth on a 2D photo. Automated understanding of linear
perspective in landscape photography has several real-world applications,
including aesthetics assessment, image retrieval, and on-site feedback for
photo composition, yet adequa... | computer science |
39,540 | Automated Selection of Uniform Regions for CT Image Quality Detection | cs.CV | CT images are widely used in pathology detection and follow-up treatment
procedures. Accurate identification of pathological features requires
diagnostic quality CT images with minimal noise and artifact variation. In this
work, a novel Fourier-transform based metric for image quality (IQ) estimation
is presented that ... | computer science |
39,541 | Towards Evaluating the Robustness of Neural Networks | cs.CR | Neural networks provide state-of-the-art results for most machine learning
tasks. Unfortunately, neural networks are vulnerable to adversarial examples:
given an input $x$ and any target classification $t$, it is possible to find a
new input $x'$ that is similar to $x$ but classified as $t$. This makes it
difficult to ... | computer science |
39,542 | Globally Variance-Constrained Sparse Representation for Image Set
Compression | cs.CV | Sparse representation presents an efficient approach to approximately recover
a signal by the linear composition of a few bases from a learnt dictionary,
based on which various successful applications have been observed. However, in
the scenario of data compression, its efficiency and popularity are hindered
due to the... | computer science |
39,543 | Fundamental principles of cortical computation: unsupervised learning
with prediction, compression and feedback | cs.CV | There has been great progress in understanding of anatomical and functional
microcircuitry of the primate cortex. However, the fundamental principles of
cortical computation - the principles that allow the visual cortex to bind
retinal spikes into representations of objects, scenes and scenarios - have so
far remained ... | computer science |
39,544 | Computerized Tomography with Total Variation and with Shearlets | cs.CV | To reduce the x-ray dose in computerized tomography (CT), many constrained
optimization approaches have been proposed aiming at minimizing a regularizing
function that measures lack of consistency with some prior knowledge about the
object that is being imaged, subject to a (predetermined) level of consistency
with the... | computer science |
39,545 | Automatic Synchronization of Multi-User Photo Galleries | cs.MM | In this paper we address the issue of photo galleries synchronization, where
pictures related to the same event are collected by different users. Existing
solutions to address the problem are usually based on unrealistic assumptions,
like time consistency across photo galleries, and often heavily rely on
heuristics, li... | computer science |
39,546 | A Fast Ellipse Detector Using Projective Invariant Pruning | cs.CV | Detecting elliptical objects from an image is a central task in robot
navigation and industrial diagnosis where the detection time is always a
critical issue. Existing methods are hardly applicable to these real-time
scenarios of limited hardware resource due to the huge number of fragment
candidates (edges or arcs) fo... | computer science |
39,547 | MindX: Denoising Mixed Impulse Poisson-Gaussian Noise Using Proximal
Algorithms | cs.CV | We present a novel algorithm for blind denoising of images corrupted by mixed
impulse, Poisson, and Gaussian noises. The algorithm starts by applying the
Anscombe variance-stabilizing transformation to convert the Poisson into white
Gaussian noise. Then it applies a combinatorial optimization technique to
denoise the m... | computer science |
39,548 | Human Action Recognition without Human | cs.CV | The objective of this paper is to evaluate "human action recognition without
human". Motion representation is frequently discussed in human action
recognition. We have examined several sophisticated options, such as dense
trajectories (DT) and the two-stream convolutional neural network (CNN).
However, some features fr... | computer science |
39,549 | Vehicle Detection from 3D Lidar Using Fully Convolutional Network | cs.CV | Convolutional network techniques have recently achieved great success in
vision based detection tasks. This paper introduces the recent development of
our research on transplanting the fully convolutional network technique to the
detection tasks on 3D range scan data. Specifically, the scenario is set as the
vehicle de... | computer science |
39,550 | Constraint matrix factorization for space variant PSFs field restoration | cs.CV | Context: in large-scale spatial surveys, the Point Spread Function (PSF)
varies across the instrument field of view (FOV). Local measurements of the
PSFs are given by the isolated stars images. Yet, these estimates may not be
directly usable for post-processings because of the observational noise and
potentially the al... | computer science |
39,551 | Where is my Phone ? Personal Object Retrieval from Egocentric Images | cs.IR | This work presents a retrieval pipeline and evaluation scheme for the problem
of finding the last appearance of personal objects in a large dataset of images
captured from a wearable camera. Each personal object is modelled by a small
set of images that define a query for a visual search engine.The retrieved
results ar... | computer science |
39,552 | Motion Representation with Acceleration Images | cs.CV | Information of time differentiation is extremely important cue for a motion
representation. We have applied first-order differential velocity from a
positional information, moreover we believe that second-order differential
acceleration is also a significant feature in a motion representation. However,
an acceleration ... | computer science |
39,553 | Engagement Detection in Meetings | cs.CV | Group meetings are frequent business events aimed to develop and conduct
project work, such as Big Room design and construction project meetings. To be
effective in these meetings, participants need to have an engaged mental state.
The mental state of participants however, is hidden from other participants,
and thereby... | computer science |
39,554 | Radiation Search Operations using Scene Understanding with Autonomous
UAV and UGV | cs.RO | Autonomously searching for hazardous radiation sources requires the ability
of the aerial and ground systems to understand the scene they are scouting. In
this paper, we present systems, algorithms, and experiments to perform
radiation search using unmanned aerial vehicles (UAV) and unmanned ground
vehicles (UGV) by em... | computer science |
39,555 | Semantic Image Based Geolocation Given a Map | cs.CV | The problem visual place recognition is commonly used strategy for
localization. Most successful appearance based methods typically rely on a
large database of views endowed with local or global image descriptors and
strive to retrieve the views of the same location. The quality of the results
is often affected by the ... | computer science |
39,556 | Defeating Image Obfuscation with Deep Learning | cs.CR | We demonstrate that modern image recognition methods based on artificial
neural networks can recover hidden information from images protected by various
forms of obfuscation. The obfuscation techniques considered in this paper are
mosaicing (also known as pixelation), blurring (as used by YouTube), and P3, a
recently p... | computer science |
39,557 | Statistical Meta-Analysis of Presentation Attacks for Secure
Multibiometric Systems | cs.CV | Prior work has shown that multibiometric systems are vulnerable to
presentation attacks, assuming that their matching score distribution is
identical to that of genuine users, without fabricating any fake trait. We have
recently shown that this assumption is not representative of current
fingerprint and face presentati... | computer science |
39,558 | Depth Estimation Through a Generative Model of Light Field Synthesis | cs.CV | Light field photography captures rich structural information that may
facilitate a number of traditional image processing and computer vision tasks.
A crucial ingredient in such endeavors is accurate depth recovery. We present a
novel framework that allows the recovery of a high quality continuous depth map
from light ... | computer science |
39,559 | Component-Based Distributed Framework for Coherent and Real-Time Video
Dehazing | cs.DC | Traditional dehazing techniques, as a well studied topic in image processing,
are now widely used to eliminate the haze effects from individual images.
However, even the state-of-the-art dehazing algorithms may not provide
sufficient support to video analytics, as a crucial pre-processing step for
video-based decision ... | computer science |
39,560 | Tracking Algorithm for Microscopic Flow Data Collection | cs.CV | Various methods to automate traffic data collection have recently been
developed by many researchers. A macroscopic data collection through image
processing has been proposed. For microscopic traffic flow data, such as
individual speed and time or distance headway, tracking of individual movement
is needed. The trackin... | computer science |
39,561 | Ashwin: Plug-and-Play System for Machine-Human Image Annotation | cs.CV | We present an end-to-end machine-human image annotation system where each
component can be attached in a plug-and-play fashion. These components include
Feature Extraction, Machine Classifier, Task Sampling and Crowd Consensus. | computer science |
39,562 | Learning-Based View Synthesis for Light Field Cameras | cs.CV | With the introduction of consumer light field cameras, light field imaging
has recently become widespread. However, there is an inherent trade-off between
the angular and spatial resolution, and thus, these cameras often sparsely
sample in either spatial or angular domain. In this paper, we use machine
learning to miti... | computer science |
39,563 | Simultaneous independent image display technique on multiple 3D objects | cs.CV | We propose a new system to visualize depth-dependent patterns and images on
solid objects with complex geometry using multiple projectors. The system,
despite consisting of conventional passive LCD projectors, is able to project
different images and patterns depending on the spatial location of the object.
The techniqu... | computer science |
39,564 | Active Canny: Edge Detection and Recovery with Open Active Contour
Models | cs.CV | We introduce an edge detection and recovery framework based on open active
contour models (snakelets). This is motivated by the noisy or broken edges
output by standard edge detection algorithms, like Canny. The idea is to
utilize the local continuity and smoothness cues provided by strong edges and
grow them to recove... | computer science |
39,565 | Examining Representational Similarity in ConvNets and the Primate Visual
Cortex | cs.CV | We compare several ConvNets with different depth and regularization
techniques with multi-unit macaque IT cortex recordings and assess the impact
of the same on representational similarity with the primate visual cortex. We
find that with increasing depth and validation performance, ConvNet features
are closer to corti... | computer science |
39,566 | Dilemma First Search for Effortless Optimization of NP-Hard Problems | cs.DS | To tackle the exponentiality associated with NP-hard problems, two paradigms
have been proposed. First, Branch & Bound, like Dynamic Programming, achieve
efficient exact inference but requires extensive information and analysis about
the problem at hand. Second, meta-heuristics are easier to implement but
comparatively... | computer science |
39,567 | Associating Grasp Configurations with Hierarchical Features in
Convolutional Neural Networks | cs.CV | In this work, we provide a solution for posturing the anthropomorphic
Robonaut-2 hand and arm for grasping based on visual information. A mapping
from visual features extracted from a convolutional neural network (CNN) to
grasp points is learned. We demonstrate that a CNN pre-trained for image
classification can be app... | computer science |
39,568 | Method to Assess the Temporal Persistence of Potential Biometric
Features: Application to Oculomotor, and Gait-Related Databases | cs.CV | Although temporal persistence, or permanence, is a well understood
requirement for optimal biometric features, there is no general agreement on
how to assess temporal persistence. We suggest that the best way to assess
temporal persistence is to perform a test-retest study, and assess test-retest
reliability. For ratio... | computer science |
39,569 | Lost and Found: Detecting Small Road Hazards for Self-Driving Vehicles | cs.CV | Detecting small obstacles on the road ahead is a critical part of the driving
task which has to be mastered by fully autonomous cars. In this paper, we
present a method based on stereo vision to reliably detect such obstacles from
a moving vehicle. The proposed algorithm performs statistical hypothesis tests
in dispari... | computer science |
39,570 | Improving the Accuracy of Stereo Visual Odometry Using Visual
Illumination Estimation | cs.RO | In the absence of reliable and accurate GPS, visual odometry (VO) has emerged
as an effective means of estimating the egomotion of robotic vehicles. Like any
dead-reckoning technique, VO suffers from unbounded accumulation of drift error
over time, but this accumulation can be limited by incorporating absolute
orientat... | computer science |
39,571 | A Glimpse Far into the Future: Understanding Long-term Crowd Worker
Quality | cs.HC | Microtask crowdsourcing is increasingly critical to the creation of extremely
large datasets. As a result, crowd workers spend weeks or months repeating the
exact same tasks, making it necessary to understand their behavior over these
long periods of time. We utilize three large, longitudinal datasets of nine
million a... | computer science |
39,572 | Visual Stability Prediction and Its Application to Manipulation | cs.CV | Understanding physical phenomena is a key competence that enables humans and
animals to act and interact under uncertain perception in previously unseen
environments containing novel objects and their configurations. Developmental
psychology has shown that such skills are acquired by infants from observations
at a very... | computer science |
39,573 | Consistent Discretization and Minimization of the L1 Norm on Manifolds | cs.NA | The L1 norm has been tremendously popular in signal and image processing in
the past two decades due to its sparsity-promoting properties. More recently,
its generalization to non-Euclidean domains has been found useful in shape
analysis applications. For example, in conjunction with the minimization of the
Dirichlet e... | computer science |
39,574 | Random Forests versus Neural Networks - What's Best for Camera
Localization? | cs.CV | This work addresses the task of camera localization in a known 3D scene given
a single input RGB image. State-of-the-art approaches accomplish this in two
steps: firstly, regressing for every pixel in the image its 3D scene coordinate
and subsequently, using these coordinates to estimate the final 6D camera pose
via RA... | computer science |
39,575 | On Support Relations and Semantic Scene Graphs | cs.CV | Scene understanding is a popular and challenging topic in both computer
vision and photogrammetry. Scene graph provides rich information for such scene
understanding. This paper presents a novel approach to infer such relations and
then to construct the scene graph. Support relations are estimated by
considering import... | computer science |
39,576 | Reducing Drift in Visual Odometry by Inferring Sun Direction Using a
Bayesian Convolutional Neural Network | cs.RO | We present a method to incorporate global orientation information from the
sun into a visual odometry pipeline using only the existing image stream, where
the sun is typically not visible. We leverage recent advances in Bayesian
Convolutional Neural Networks to train and implement a sun detection model that
infers a th... | computer science |
39,577 | Deep CTR Prediction in Display Advertising | cs.CV | Click through rate (CTR) prediction of image ads is the core task of online
display advertising systems, and logistic regression (LR) has been frequently
applied as the prediction model. However, LR model lacks the ability of
extracting complex and intrinsic nonlinear features from handcrafted
high-dimensional image fe... | computer science |
39,578 | Detecting Changes Between Optical Images of Different Spatial and
Spectral Resolutions: a Fusion-Based Approach | cs.CV | Change detection is one of the most challenging issues when analyzing
remotely sensed images. Comparing several multi-date images acquired through
the same kind of sensor is the most common scenario. Conversely, designing
robust, flexible and scalable algorithms for change detection becomes even more
challenging when t... | computer science |
39,579 | Production-Level Facial Performance Capture Using Deep Convolutional
Neural Networks | cs.CV | We present a real-time deep learning framework for video-based facial
performance capture -- the dense 3D tracking of an actor's face given a
monocular video. Our pipeline begins with accurately capturing a subject using
a high-end production facial capture pipeline based on multi-view stereo
tracking and artist-enhanc... | computer science |
39,580 | Revealing Structure in Large Graphs: Szemerédi's Regularity Lemma and
its Use in Pattern Recognition | cs.CV | Introduced in the mid-1970's as an intermediate step in proving a
long-standing conjecture on arithmetic progressions, Szemer\'edi's regularity
lemma has emerged over time as a fundamental tool in different branches of
graph theory, combinatorics and theoretical computer science. Roughly, it
states that every graph can... | computer science |
39,581 | Improving analytical tomographic reconstructions through consistency
conditions | cs.CV | This work introduces and characterizes a fast parameterless filter based on
the Helgason-Ludwig consistency conditions, used to improve the accuracy of
analytical reconstructions of tomographic undersampled datasets. The filter,
acting in the Radon domain, extrapolates intermediate projections between those
existing. T... | computer science |
39,582 | Deep Learning for Video Classification and Captioning | cs.CV | Accelerated by the tremendous increase in Internet bandwidth and storage
space, video data has been generated, published and spread explosively,
becoming an indispensable part of today's big data. In this paper, we focus on
reviewing two lines of research aiming to stimulate the comprehension of videos
with deep learni... | computer science |
39,583 | Symmetric Non-Rigid Structure from Motion for Category-Specific Object
Structure Estimation | cs.CV | Many objects, especially these made by humans, are symmetric, e.g. cars and
aeroplanes. This paper addresses the estimation of 3D structures of symmetric
objects from multiple images of the same object category, e.g. different cars,
seen from various viewpoints. We assume that the deformation between different
instance... | computer science |
39,584 | Customized Facial Constant Positive Air Pressure (CPAP) Masks | cs.GR | Sleep apnea is a syndrome that is characterized by sudden breathing halts
while sleeping. One of the common treatments involves wearing a mask that
delivers continuous air flow into the nostrils so as to maintain a steady air
pressure. These masks are designed for an average facial model and are often
difficult to adju... | computer science |
39,585 | Deep Quality: A Deep No-reference Quality Assessment System | cs.MM | Image quality assessment (IQA) continues to garner great interest in the
research community, particularly given the tremendous rise in consumer video
capture and streaming. Despite significant research effort in IQA in the past
few decades, the area of no-reference image quality assessment remains a great
challenge and... | computer science |
39,586 | Multiview RGB-D Dataset for Object Instance Detection | cs.CV | This paper presents a new multi-view RGB-D dataset of nine kitchen scenes,
each containing several objects in realistic cluttered environments including a
subset of objects from the BigBird dataset. The viewpoints of the scenes are
densely sampled and objects in the scenes are annotated with bounding boxes and
in the 3... | computer science |
39,587 | From Monocular SLAM to Autonomous Drone Exploration | cs.RO | Micro aerial vehicles (MAVs) are strongly limited in their payload and power
capacity. In order to implement autonomous navigation, algorithms are therefore
desirable that use sensory equipment that is as small, low-weight, and
low-power consuming as possible. In this paper, we propose a method for
autonomous MAV navig... | computer science |
39,588 | Flows Generating Nonlinear Eigenfunctions | cs.CV | Nonlinear variational methods have become very powerful tools for many image
processing tasks. Recently a new line of research has emerged, dealing with
nonlinear eigenfunctions induced by convex functionals. This has provided new
insights and better theoretical understanding of convex regularization and
introduced new... | computer science |
39,589 | Robust Moving Objects Detection in Lidar Data Exploiting Visual Cues | cs.RO | Detecting moving objects in dynamic scenes from sequences of lidar scans is
an important task in object tracking, mapping, localization, and navigation.
Many works focus on changes detection in previously observed scenes, while a
very limited amount of literature addresses moving objects detection. The
state-of-the-art... | computer science |
39,590 | Comprehensive Evaluation of OpenCL-based Convolutional Neural Network
Accelerators in Xilinx and Altera FPGAs | cs.CV | Deep learning has significantly advanced the state of the art in artificial
intelligence, gaining wide popularity from both industry and academia. Special
interest is around Convolutional Neural Networks (CNN), which take inspiration
from the hierarchical structure of the visual cortex, to form deep layers of
convoluti... | computer science |
39,591 | Reconstructing Vechicles from a Single Image: Shape Priors for Road
Scene Understanding | cs.CV | We present an approach for reconstructing vehicles from a single (RGB) image,
in the context of autonomous driving. Though the problem appears to be
ill-posed, we demonstrate that prior knowledge about how 3D shapes of vehicles
project to an image can be used to reason about the reverse process, i.e., how
shapes (back-... | computer science |
39,592 | Digitizing Municipal Street Inspections Using Computer Vision | cs.CY | "People want an authority to tell them how to value things. But they chose
this authority not based on facts or results. They chose it because it seems
authoritative and familiar." - The Big Short
The pavement condition index is one such a familiar measure used by many US
cities to measure street quality and justify ... | computer science |
39,593 | Caffeinated FPGAs: FPGA Framework For Convolutional Neural Networks | cs.CV | Convolutional Neural Networks (CNNs) have gained significant traction in the
field of machine learning, particularly due to their high accuracy in visual
recognition. Recent works have pushed the performance of GPU implementations of
CNNs to significantly improve their classification and training times. With
these impr... | computer science |
39,594 | Low-dose CT denoising with convolutional neural network | cs.CV | To reduce the potential radiation risk, low-dose CT has attracted much
attention. However, simply lowering the radiation dose will lead to significant
deterioration of the image quality. In this paper, we propose a noise reduction
method for low-dose CT via deep neural network without accessing original
projection data... | computer science |
39,595 | Real-Time RGB-D based Template Matching Pedestrian Detection | cs.CV | Pedestrian detection is one of the most popular topics in computer vision and
robotics. Considering challenging issues in multiple pedestrian detection, we
present a real-time depth-based template matching people detector. In this
paper, we propose different approaches for training the depth-based template.
We train mu... | computer science |
39,596 | Cardea: Context-Aware Visual Privacy Protection from Pervasive Cameras | cs.CR | The growing popularity of mobile and wearable devices with built-in cameras,
the bright prospect of camera related applications such as augmented reality
and life-logging system, the increased ease of taking and sharing photos, and
advances in computer vision techniques have greatly facilitated people's lives
in many a... | computer science |
39,597 | Mobility Map Computations for Autonomous Navigation using an RGBD Sensor | cs.RO | In recent years, the numbers of life-size humanoids as well as their mobile
capabilities have steadily grown. Stable walking motion and control for
humanoid robots are active fields of research. In this scenario an open
question is how to model and analyse the scene so that a motion planning
algorithm can generate an a... | computer science |
39,598 | Reliability of PET/CT shape and heterogeneity features in functional and
morphological components of Non-Small Cell Lung Cancer tumors: a
repeatability analysis in a prospective multi-center cohort | cs.CV | Purpose: The main purpose of this study was to assess the reliability of
shape and heterogeneity features in both Positron Emission Tomography (PET) and
low-dose Computed Tomography (CT) components of PET/CT. A secondary objective
was to investigate the impact of image quantization.Material and methods: A
Health Insura... | computer science |
39,599 | Convex Histogram-Based Joint Image Segmentation with Regularized Optimal
Transport Cost | cs.CV | We investigate in this work a versatile convex framework for multiple image
segmentation, relying on the regularized optimal mass transport theory. In this
setting, several transport cost functions are considered and used to match
statistical distributions of features. In practice, global multidimensional
histograms ar... | computer science |
39,600 | Markov Chain Modeling and Simulation of Breathing Patterns | stat.AP | The lack of large video databases obtained from real patients with
respiratory disorders makes the design and optimization of video-based
monitoring systems quite critical. The purpose of this study is the development
of suitable models and simulators of breathing behaviors and disorders, such as
respiratory pauses and... | computer science |
39,601 | Template shape estimation: correcting an asymptotic bias | cs.CV | We use tools from geometric statistics to analyze the usual estimation
procedure of a template shape. This applies to shapes from landmarks, curves,
surfaces, images etc. We demonstrate the asymptotic bias of the template shape
estimation using the stratified geometry of the shape space. We give a Taylor
expansion of t... | computer science |
39,602 | PCA-aided Fully Convolutional Networks for Semantic Segmentation of
Multi-channel fMRI | cs.CV | Semantic segmentation of functional magnetic resonance imaging (fMRI) makes
great sense for pathology diagnosis and decision system of medical robots. The
multi-channel fMRI provides more information of the pathological features. But
the increased amount of data causes complexity in feature detections. This
paper propo... | computer science |
39,603 | Compressive Imaging with Iterative Forward Models | cs.CV | We propose a new compressive imaging method for reconstructing 2D or 3D
objects from their scattered wave-field measurements. Our method relies on a
novel, nonlinear measurement model that can account for the multiple scattering
phenomenon, which makes the method preferable in applications where linear
measurement mode... | computer science |
39,604 | Distortion Varieties | math.AG | The distortion varieties of a given projective variety are parametrized by
duplicating coordinates and multiplying them with monomials. We study their
degrees and defining equations. Exact formulas are obtained for the case of
one-parameter distortions. These are based on Chow polytopes and Gr\"obner
bases. Multi-param... | computer science |
39,605 | Driving in the Matrix: Can Virtual Worlds Replace Human-Generated
Annotations for Real World Tasks? | cs.CV | Deep learning has rapidly transformed the state of the art algorithms used to
address a variety of problems in computer vision and robotics. These
breakthroughs have relied upon massive amounts of human annotated training
data. This time consuming process has begun impeding the progress of these deep
learning efforts. ... | computer science |
39,606 | Efficient Deep Aesthetic Image Classification using Connected Local and
Global Features | cs.CV | In this paper we investigate the aesthetic image classification problem, also
known as automatically classifying an image into low or high aesthetic quality,
which is quite a challenging problem. Considering both the local and global
information of images is quite important for image aesthetic quality
assessment. Curre... | computer science |
39,607 | 4D Crop Monitoring: Spatio-Temporal Reconstruction for Agriculture | cs.RO | Autonomous crop monitoring at high spatial and temporal resolution is a
critical problem in precision agriculture. While Structure from Motion and
Multi-View Stereo algorithms can finely reconstruct the 3D structure of a field
with low-cost image sensors, these algorithms fail to capture the dynamic
nature of continuou... | computer science |
39,608 | Visual Closed-Loop Control for Pouring Liquids | cs.RO | Pouring a specific amount of liquid is a challenging task. In this paper we
develop methods for robots to use visual feedback to perform closed-loop
control for pouring liquids. We propose both a model-based and a model-free
method utilizing deep learning for estimating the volume of liquid in a
container. Our results ... | computer science |
39,609 | Tangled Splines | cs.CV | Extracting shape information from object bound- aries is a well studied
problem in vision, and has found tremen- dous use in applications like object
recognition. Conversely, studying the space of shapes represented by curves
satisfying certain constraints is also intriguing. In this paper, we model and
analyze the spa... | computer science |
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