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39,610 | DOTmark - A Benchmark for Discrete Optimal Transport | math.OC | The Wasserstein metric or earth mover's distance (EMD) is a useful tool in
statistics, machine learning and computer science with many applications to
biological or medical imaging, among others. Especially in the light of
increasingly complex data, the computation of these distances via optimal
transport is often the ... | computer science |
39,611 | Visual Place Recognition with Probabilistic Vertex Voting | cs.RO | We propose a novel scoring concept for visual place recognition based on
nearest neighbor descriptor voting and demonstrate how the algorithm naturally
emerges from the problem formulation. Based on the observation that the number
of votes for matching places can be evaluated using a binomial distribution
model, loop c... | computer science |
39,612 | Digital Makeup from Internet Images | cs.CV | We present a novel approach of color transfer between images by exploring
their high-level semantic information. First, we set up a database which
consists of the collection of downloaded images from the internet, which are
segmented automatically by using matting techniques. We then, extract image
foregrounds from bot... | computer science |
39,613 | Partial Procedural Geometric Model Fitting for Point Clouds | cs.GR | Geometric model fitting is a fundamental task in computer graphics and
computer vision. However, most geometric model fitting methods are unable to
fit an arbitrary geometric model (e.g. a surface with holes) to incomplete
data, due to that the similarity metrics used in these methods are unable to
measure the rigid pa... | computer science |
39,614 | ARTiS: Appearance-based Action Recognition in Task Space for Real-Time
Human-Robot Collaboration | cs.RO | To have a robot actively supporting a human during a collaborative task, it
is crucial that robots are able to identify the current action in order to
predict the next one. Common approaches make use of high-level knowledge, such
as object affordances, semantics or understanding of actions in terms of pre-
and post-con... | computer science |
39,615 | Shape-based defect classification for Non Destructive Testing | cs.CV | The aim of this work is to classify the aerospace structure defects detected
by eddy current non-destructive testing. The proposed method is based on the
assumption that the defect is bound to the reaction of the probe coil impedance
during the test. Impedance plane analysis is used to extract a feature vector
from the... | computer science |
39,616 | Edge Based Grid Super-Imposition for Crowd Emotion Recognition | cs.CV | Numerous automatic continuous emotion detection system studies have examined
mostly use of videos and images containing individual person expressing
emotions. This study examines the detection of spontaneous emotions in a group
and crowd settings. Edge detection was used with a grid of lines
superimposition to extract ... | computer science |
39,617 | Robot Vision Architecture for Autonomous Clothes Manipulation | cs.RO | This paper presents a novel robot vision architecture for perceiving generic
3D clothes configurations. Our architecture is hierarchically structured,
starting from low-level curvatures, across mid-level geometric shapes \&
topology descriptions; and finally approaching high-level semantic surface
structure description... | computer science |
39,618 | Visual-Inertial Monocular SLAM with Map Reuse | cs.RO | In recent years there have been excellent results in Visual-Inertial Odometry
techniques, which aim to compute the incremental motion of the sensor with high
accuracy and robustness. However these approaches lack the capability to close
loops, and trajectory estimation accumulates drift even if the sensor is
continuall... | computer science |
39,619 | Fast and Accurate Surface Normal Integration on Non-Rectangular Domains | cs.NA | The integration of surface normals for the purpose of computing the shape of
a surface in 3D space is a classic problem in computer vision. However, even
nowadays it is still a challenging task to devise a method that combines the
flexibility to work on non-trivial computational domains with high accuracy,
robustness a... | computer science |
39,620 | ORB-SLAM2: an Open-Source SLAM System for Monocular, Stereo and RGB-D
Cameras | cs.RO | We present ORB-SLAM2 a complete SLAM system for monocular, stereo and RGB-D
cameras, including map reuse, loop closing and relocalization capabilities. The
system works in real-time on standard CPUs in a wide variety of environments
from small hand-held indoors sequences, to drones flying in industrial
environments and... | computer science |
39,621 | Detecting Rainfall Onset Using Sky Images | cs.CV | Ground-based sky cameras (popularly known as Whole Sky Imagers) are
increasingly used now-a-days for continuous monitoring of the atmosphere. These
imagers have higher temporal and spatial resolutions compared to conventional
satellite images. In this paper, we use ground-based sky cameras to detect the
onset of rainfa... | computer science |
39,622 | Multispectral image denoising with optimized vector non-local mean
filter | cs.CV | Nowadays, many applications rely on images of high quality to ensure good
performance in conducting their tasks. However, noise goes against this
objective as it is an unavoidable issue in most applications. Therefore, it is
essential to develop techniques to attenuate the impact of noise, while
maintaining the integri... | computer science |
39,623 | Automatic and Manual Segmentation of Hippocampus in Epileptic Patients
MRI | cs.CV | The hippocampus is a seminal structure in the most common surgically-treated
form of epilepsy. Accurate segmentation of the hippocampus aids in establishing
asymmetry regarding size and signal characteristics in order to disclose the
likely site of epileptogenicity. With sufficient refinement, it may ultimately
aid in ... | computer science |
39,624 | A Novel Boundary Matching Algorithm for Video Temporal Error Concealment | cs.MM | With the fast growth of communication networks, the video data transmission
from these networks is extremely vulnerable. Error concealment is a technique
to estimate the damaged data by employing the correctly received data at the
decoder. In this paper, an efficient boundary matching algorithm for estimating
damaged m... | computer science |
39,625 | Image Clustering without Ground Truth | cs.HC | Cluster analysis has become one of the most exercised research areas over the
past few decades in computer science. As a consequence, numerous clustering
algorithms have already been developed to find appropriate partitions of a set
of objects. Given multiple such clustering solutions, it is a challenging task
to obtai... | computer science |
39,626 | Active User Authentication for Smartphones: A Challenge Data Set and
Benchmark Results | cs.CV | In this paper, automated user verification techniques for smartphones are
investigated. A unique non-commercial dataset, the University of Maryland
Active Authentication Dataset 02 (UMDAA-02) for multi-modal user authentication
research is introduced. This paper focuses on three sensors - front camera,
touch sensor and... | computer science |
39,627 | The Event-Camera Dataset and Simulator: Event-based Data for Pose
Estimation, Visual Odometry, and SLAM | cs.RO | New vision sensors, such as the Dynamic and Active-pixel Vision sensor
(DAVIS), incorporate a conventional global-shutter camera and an event-based
sensor in the same pixel array. These sensors have great potential for
high-speed robotics and computer vision because they allow us to combine the
benefits of conventional... | computer science |
39,628 | Detecting Breast Cancer using a Compressive Sensing Unmixing Algorithm | cs.CV | Traditional breast cancer imaging methods using microwave Nearfield Radar
Imaging (NRI) seek to recover the complex permittivity of the tissues at each
voxel in the imaging region. This approach is suboptimal, in that it does not
directly consider the permittivity values that healthy and cancerous breast
tissues typica... | computer science |
39,629 | A Scalable and Robust Framework for Intelligent Real-time Video
Surveillance | cs.CV | In this paper, we present an intelligent, reliable and storage-efficient
video surveillance system using Apache Storm and OpenCV. As a Storm topology,
we have added multiple information extraction modules that only write important
content to the disk. Our topology is extensible, capable of adding novel
algorithms as pe... | computer science |
39,630 | Joint Large-Scale Motion Estimation and Image Reconstruction | cs.CV | This article describes the implementation of the joint motion estimation and
image reconstruction framework presented by Burger, Dirks and Sch\"onlieb and
extends this framework to large-scale motion between consecutive image frames.
The variational framework uses displacements between consecutive frames based
on the o... | computer science |
39,631 | ConfocalGN : a minimalistic confocal image simulator | cs.CV | SUMMARY : We developed a user-friendly software to generate synthetic
confocal microscopy images from a ground truth specified as a 3D bitmap with
pixels of arbitrary size. The software can analyze a real confocal stack to
derivate noise parameters and will use them directly to generate new images
with similar noise ch... | computer science |
39,632 | Structured illumination microscopy with unknown patterns and a
statistical prior | cs.CV | Structured illumination microscopy (SIM) improves resolution by
down-modulating high-frequency information of an object to fit within the
passband of the optical system. Generally, the reconstruction process requires
prior knowledge of the illumination patterns, which implies a well-calibrated
and aberration-free syste... | computer science |
39,633 | Recent Advances in Transient Imaging: A Computer Graphics and Vision
Perspective | cs.CV | Transient imaging has recently made a huge impact in the computer graphics
and computer vision fields. By capturing, reconstructing, or simulating light
transport at extreme temporal resolutions, researchers have proposed novel
techniques to show movies of light in motion, see around corners, detect
objects in highly-s... | computer science |
39,634 | Bayesian Modeling of Motion Perception using Dynamical Stochastic
Textures | cs.CV | A common practice to account for psychophysical biases in vision is to frame
them as consequences of a dynamic process relying on optimal inference with
respect to a generative model. The present study details the complete
formulation of such a generative model intended to probe visual motion
perception. It is first de... | computer science |
39,635 | Hamiltonian operator for spectral shape analysis | cs.GR | Many shape analysis methods treat the geometry of an object as a metric space
that can be captured by the Laplace-Beltrami operator. In this paper, we
propose to adapt the classical Hamiltonian operator from quantum mechanics to
the field of shape analysis. To this end we study the addition of a potential
function to t... | computer science |
39,636 | Real-Time Visual Place Recognition for Personal Localization on a Mobile
Device | cs.RO | The paper presents an approach to indoor personal localization on a mobile
device based on visual place recognition. We implemented on a smartphone two
state-of-the-art algorithms that are representative to two different approaches
to visual place recognition: FAB-MAP that recognizes places using individual
images, and... | computer science |
39,637 | Crowdsourcing in Computer Vision | cs.CV | Computer vision systems require large amounts of manually annotated data to
properly learn challenging visual concepts. Crowdsourcing platforms offer an
inexpensive method to capture human knowledge and understanding, for a vast
number of visual perception tasks. In this survey, we describe the types of
annotations com... | computer science |
39,638 | Parse Geometry from a Line: Monocular Depth Estimation with Partial
Laser Observation | cs.CV | Many standard robotic platforms are equipped with at least a fixed 2D laser
range finder and a monocular camera. Although those platforms do not have
sensors for 3D depth sensing capability, knowledge of depth is an essential
part in many robotics activities. Therefore, recently, there is an increasing
interest in dept... | computer science |
39,639 | The Little Engine that Could: Regularization by Denoising (RED) | cs.CV | Removal of noise from an image is an extensively studied problem in image
processing. Indeed, the recent advent of sophisticated and highly effective
denoising algorithms lead some to believe that existing methods are touching
the ceiling in terms of noise removal performance. Can we leverage this
impressive achievemen... | computer science |
39,640 | Oriented bounding boxes using multiresolution contours for fast
interference detection of arbitrary geometry objects | cs.GR | Interference detection of arbitrary geometric objects is not a trivial task
due to the heavy computational load imposed by implementation issues. The
hierarchically structured bounding boxes help us to quickly isolate the contour
of segments in interference. In this paper, a new approach is introduced to
treat the inte... | computer science |
39,641 | HoneyFaces: Increasing the Security and Privacy of Authentication Using
Synthetic Facial Images | cs.CR | One of the main challenges faced by Biometric-based authentication systems is
the need to offer secure authentication while maintaining the privacy of the
biometric data. Previous solutions, such as Secure Sketch and Fuzzy Extractors,
rely on assumptions that cannot be guaranteed in practice, and often affect the
authe... | computer science |
39,642 | Joint Graph Decomposition and Node Labeling: Problem, Algorithms,
Applications | cs.CV | We state a combinatorial optimization problem whose feasible solutions define
both a decomposition and a node labeling of a given graph. This problem offers
a common mathematical abstraction of seemingly unrelated computer vision tasks,
including instance-separating semantic segmentation, articulated human body
pose es... | computer science |
39,643 | Motion Estimated-Compensated Reconstruction with Preserved-Features in
Free-Breathing Cardiac MRI | cs.CV | To develop an efficient motion-compensated reconstruction technique for
free-breathing cardiac magnetic resonance imaging (MRI) that allows
high-quality images to be reconstructed from multiple undersampled single-shot
acquisitions. The proposed method is a joint image reconstruction and motion
correction method consis... | computer science |
39,644 | A Combinatorial Solution to Non-Rigid 3D Shape-to-Image Matching | cs.CV | We propose a combinatorial solution for the problem of non-rigidly matching a
3D shape to 3D image data. To this end, we model the shape as a triangular mesh
and allow each triangle of this mesh to be rigidly transformed to achieve a
suitable matching to the image. By penalising the distance and the relative
rotation b... | computer science |
39,645 | Image Credibility Analysis with Effective Domain Transferred Deep
Networks | cs.MM | Numerous fake images spread on social media today and can severely jeopardize
the credibility of online content to public. In this paper, we employ deep
networks to learn distinct fake image related features. In contrast to
authentic images, fake images tend to be eye-catching and visually striking.
Compared with tradi... | computer science |
39,646 | Probabilistic Fluorescence-Based Synapse Detection | cs.CV | Brain function results from communication between neurons connected by
complex synaptic networks. Synapses are themselves highly complex and diverse
signaling machines, containing protein products of hundreds of different genes,
some in hundreds of copies, arranged in precise lattice at each individual
synapse. Synapse... | computer science |
39,647 | Reweighted Low-Rank Tensor Decomposition based on t-SVD and its
Applications in Video Denoising | cs.CV | The t-SVD based Tensor Robust Principal Component Analysis (TRPCA) decomposes
low rank multi-linear signal corrupted by gross errors into low multi-rank and
sparse component by simultaneously minimizing tensor nuclear norm and l 1 norm.
But if the multi-rank of the signal is considerably large and/or large amount
of no... | computer science |
39,648 | ModelHub: Towards Unified Data and Lifecycle Management for Deep
Learning | cs.DB | Deep learning has improved state-of-the-art results in many important fields,
and has been the subject of much research in recent years, leading to the
development of several systems for facilitating deep learning. Current systems,
however, mainly focus on model building and training phases, while the issues
of data ma... | computer science |
39,649 | RhoanaNet Pipeline: Dense Automatic Neural Annotation | cs.CV | Reconstructing a synaptic wiring diagram, or connectome, from electron
microscopy (EM) images of brain tissue currently requires many hours of manual
annotation or proofreading (Kasthuri and Lichtman, 2010; Lichtman and Sanes,
2008; Seung, 2009). The desire to reconstruct ever larger and more complex
networks has pushe... | computer science |
39,650 | Exploiting Web Images for Dataset Construction: A Domain Robust Approach | cs.CV | Labelled image datasets have played a critical role in high-level image
understanding. However, the process of manual labelling is both time-consuming
and labor intensive. To reduce the cost of manual labelling, there has been
increased research interest in automatically constructing image datasets by
exploiting web im... | computer science |
39,651 | Distributable Consistent Multi-Graph Matching | cs.DS | In this paper we propose an optimization-based framework to multiple graph
matching. The framework takes as input maps computed between pairs of graphs,
and outputs maps that 1) are consistent among all pairs of graphs, and 2)
preserve edge connectivity between pairs of graphs. The central idea of our
approach is to di... | computer science |
39,652 | Object detection can be improved using human-derived contextual
expectations | cs.CV | Each object in the world occurs in a specific context: cars are seen on
highways but not in forests. Contextual information is generally thought to
facilitate computation by constraining locations to search. But can knowing
context yield tangible benefits in object detection? For it to do so, scene
context needs to be ... | computer science |
39,653 | Single-View and Multi-View Depth Fusion | cs.CV | Dense and accurate 3D mapping from a monocular sequence is a key technology
for several applications and still an open research area. This paper leverages
recent results on single-view CNN-based depth estimation and fuses them with
multi-view depth estimation. Both approaches present complementary strengths.
Multi-view... | computer science |
39,654 | 3D Image Reconstruction from X-Ray Measurements with Overlap | cs.CV | 3D image reconstruction from a set of X-ray projections is an important image
reconstruction problem, with applications in medical imaging, industrial
inspection and airport security. The innovation of X-ray emitter arrays allows
for a novel type of X-ray scanners with multiple simultaneously emitting
sources. However,... | computer science |
39,655 | Multiframe Motion Coupling for Video Super Resolution | cs.CV | The idea of video super resolution is to use different view points of a
single scene to enhance the overall resolution and quality. Classical energy
minimization approaches first establish a correspondence of the current frame
to all its neighbors in some radius and then use this temporal information for
enhancement. I... | computer science |
39,656 | Robotic Grasp Detection using Deep Convolutional Neural Networks | cs.RO | Deep learning has significantly advanced computer vision and natural language
processing. While there have been some successes in robotics using deep
learning, it has not been widely adopted. In this paper, we present a novel
robotic grasp detection system that predicts the best grasping pose of a
parallel-plate roboti... | computer science |
39,657 | 3D Fully Convolutional Network for Vehicle Detection in Point Cloud | cs.CV | 2D fully convolutional network has been recently successfully applied to
object detection from images. In this paper, we extend the fully convolutional
network based detection techniques to 3D and apply it to point cloud data. The
proposed approach is verified on the task of vehicle detection from lidar point
cloud for... | computer science |
39,658 | Learning Where to Attend Like a Human Driver | cs.CV | Despite the advent of autonomous cars, it's likely - at least in the near
future - that human attention will still maintain a central role as a guarantee
in terms of legal responsibility during the driving task. In this paper we
study the dynamics of the driver's gaze and use it as a proxy to understand
related attenti... | computer science |
39,659 | Two-Level Structural Sparsity Regularization for Identifying Lattices
and Defects in Noisy Images | stat.AP | This paper presents a regularized regression model with a two-level
structural sparsity penalty applied to locate individual atoms in a noisy
scanning transmission electron microscopy image (STEM). In crystals, the
locations of atoms is symmetric, condensed into a few lattice groups.
Therefore, by identifying the under... | computer science |
39,660 | Long-Term Image Boundary Prediction | cs.CV | Boundary estimation in images and videos has been a very active topic of
research, and organizing visual information into boundaries and segments is
believed to be a corner stone of visual perception. While prior work has
focused on estimating boundaries for observed frames, our work aims at
predicting boundaries of fu... | computer science |
39,661 | A neuro-mathematical model for geometrical optical illusions | cs.CV | Geometrical optical illusions have been object of many studies due to the
possibility they offer to understand the behaviour of low-level visual
processing. They consist in situations in which the perceived geometrical
properties of an object differ from those of the object in the visual stimulus.
Starting from the geo... | computer science |
39,662 | It's Written All Over Your Face: Full-Face Appearance-Based Gaze
Estimation | cs.CV | Eye gaze is an important non-verbal cue for human affect analysis. Recent
gaze estimation work indicated that information from the full face region can
benefit performance. Pushing this idea further, we propose an appearance-based
method that, in contrast to a long-standing line of work in computer vision,
only takes t... | computer science |
39,663 | Easy-setup eye movement recording system for human-computer interaction | cs.HC | Tracking the movement of human eyes is expected to yield natural and
convenient applications based on human-computer interaction (HCI). To implement
an effective eye-tracking system, eye movements must be recorded without
placing any restriction on the user's behavior or user discomfort. This paper
describes an eye mov... | computer science |
39,664 | Photographic home styles in Congress: a computer vision approach | cs.SI | While members of Congress now routinely communicate with constituents using
images on a variety of internet platforms, little is known about how images are
used as a means of strategic political communication. This is due primarily to
computational limitations which have prevented large-scale, systematic analyses
of im... | computer science |
39,665 | Challenges ahead Electron Microscopy for Structural Biology from the
Image Processing point of view | cs.CV | Since the introduction of Direct Electron Detectors (DEDs), the resolution
and range of macromolecules amenable to this technique has significantly
widened, generating a broad interest that explains the well over a dozen
reviews in top journal in the last two years. Similarly, the number of job
offers to lead EM groups... | computer science |
39,666 | Deep-HiTS: Rotation Invariant Convolutional Neural Network for Transient
Detection | cs.CV | We introduce Deep-HiTS, a rotation invariant convolutional neural network
(CNN) model for classifying images of transients candidates into artifacts or
real sources for the High cadence Transient Survey (HiTS). CNNs have the
advantage of learning the features automatically from the data while achieving
high performance... | computer science |
39,667 | Vid2speech: Speech Reconstruction from Silent Video | cs.CV | Speechreading is a notoriously difficult task for humans to perform. In this
paper we present an end-to-end model based on a convolutional neural network
(CNN) for generating an intelligible acoustic speech signal from silent video
frames of a speaking person. The proposed CNN generates sound features for each
frame ba... | computer science |
39,668 | Green-Blue Stripe Pattern for Range Sensing from a Single Image | cs.CV | In this paper, we present a novel method for rapid high-resolution range
sensing using green-blue stripe pattern. We use green and blue for designing
high-frequency stripe projection pattern. For accurate and reliable range
recovery, we identify the stripe patterns by our color-stripe segmentation and
unwrapping algori... | computer science |
39,669 | Light Field Super-Resolution Via Graph-Based Regularization | cs.CV | Light field cameras capture the 3D information in a scene with a single
exposure. This special feature makes light field cameras very appealing for a
variety of applications: from post-capture refocus, to depth estimation and
image-based rendering. However, light field cameras suffer by design from
strong limitations i... | computer science |
39,670 | Son of Zorn's Lemma: Targeted Style Transfer Using Instance-aware
Semantic Segmentation | cs.CV | Style transfer is an important task in which the style of a source image is
mapped onto that of a target image. The method is useful for synthesizing
derivative works of a particular artist or specific painting. This work
considers targeted style transfer, in which the style of a template image is
used to alter only pa... | computer science |
39,671 | Modeling Retinal Ganglion Cell Population Activity with Restricted
Boltzmann Machines | cs.CV | The retina is a complex nervous system which encodes visual stimuli before
higher order processing occurs in the visual cortex. In this study we evaluated
whether information about the stimuli received by the retina can be retrieved
from the firing rate distribution of Retinal Ganglion Cells (RGCs), exploiting
High-Den... | computer science |
39,672 | 3D tracking of water hazards with polarized stereo cameras | cs.RO | Current self-driving car systems operate well in sunny weather but struggle
in adverse conditions. One of the most commonly encountered adverse conditions
involves water on the road caused by rain, sleet, melting snow or flooding.
While some advances have been made in using conventional RGB camera and LIDAR
technology ... | computer science |
39,673 | Hierarchical Salient Object Detection for Assisted Grasping | cs.CV | Visual scene decomposition into semantic entities is one of the major
challenges when creating a reliable object grasping system. Recently, we
introduced a bottom-up hierarchical clustering approach which is able to
segment objects and parts in a scene. In this paper, we introduce a transform
from such a segmentation i... | computer science |
39,674 | Human perception in computer vision | cs.CV | Computer vision has made remarkable progress in recent years. Deep neural
network (DNN) models optimized to identify objects in images exhibit
unprecedented task-trained accuracy and, remarkably, some generalization
ability: new visual problems can now be solved more easily based on previous
learning. Biological vision... | computer science |
39,675 | Action Recognition: From Static Datasets to Moving Robots | cs.RO | Deep learning models have achieved state-of-the- art performance in
recognizing human activities, but often rely on utilizing background cues
present in typical computer vision datasets that predominantly have a
stationary camera. If these models are to be employed by autonomous robots in
real world environments, they ... | computer science |
39,676 | Analysis of the noise in back-projection light field acquisition and its
optimization | cs.CV | Light field reconstruction from images captured by focal plane sweeping can
achieve high lateral resolution comparable to the modern camera sensor. This is
impossible for the conventional micro-lenslet based light field capture
systems. However, the severe defocus noise and the low depth resolution limit
its applicatio... | computer science |
39,677 | Deep Learning Features at Scale for Visual Place Recognition | cs.CV | The success of deep learning techniques in the computer vision domain has
triggered a range of initial investigations into their utility for visual place
recognition, all using generic features from networks that were trained for
other types of recognition tasks. In this paper, we train, at large scale, two
CNN archite... | computer science |
39,678 | Profiling of OCR'ed Historical Texts Revisited | cs.CV | In the absence of ground truth it is not possible to automatically determine
the exact spectrum and occurrences of OCR errors in an OCR'ed text. Yet, for
interactive postcorrection of OCR'ed historical printings it is extremely
useful to have a statistical profile available that provides an estimate of
error classes wi... | computer science |
39,679 | Robust Intrinsic and Extrinsic Calibration of RGB-D Cameras | cs.CV | Color-depth cameras (RGB-D cameras) have become the primary sensors in most
robotics systems, from service robotics to industrial robotics applications.
Typical consumer-grade RGB-D cameras are provided with a coarse intrinsic and
extrinsic calibration that generally does not meet the accuracy requirements
needed by ma... | computer science |
39,680 | DeadNet: Identifying Phototoxicity from Label-free Microscopy Images of
Cells using Deep ConvNets | cs.CV | Exposure to intense illumination light is an unavoidable consequence of
fluorescence microscopy, and poses a risk to the health of the sample in every
live-cell fluorescence microscopy experiment. Furthermore, the possible
side-effects of phototoxicity on the scientific conclusions that are drawn from
an imaging experi... | computer science |
39,681 | Normative theory of visual receptive fields | cs.CV | This article gives an overview of a normative computational theory of visual
receptive fields, by which idealized functional models of early spatial,
spatio-chromatic and spatio-temporal receptive fields can be derived in an
axiomatic way based on structural properties of the environment in combination
with assumptions... | computer science |
39,682 | Sparse models for Computer Vision | cs.CV | The representation of images in the brain is known to be sparse. That is, as
neural activity is recorded in a visual area ---for instance the primary visual
cortex of primates--- only a few neurons are active at a given time with
respect to the whole population. It is believed that such a property reflects
the efficien... | computer science |
39,683 | Understanding the Historic Emergence of Diversity in Painting via Color
Contrast | cs.CV | Painting is an art form that has long functioned as major channel for
communication and creative expression. Understanding how painting has evolved
over the centuries is therefore an essential component for understanding
cultural history, intricately linked with developments in aesthetics, science,
and technology. The ... | computer science |
39,684 | Photographic dataset: playing cards | cs.CV | This is a photographic dataset collected for testing image processing
algorithms. The idea is to have images that can exploit the properties of total
variation, therefore a set of playing cards was distributed on the scene. The
dataset is made available at www.fips.fi/photographic_dataset2.php | computer science |
39,685 | Structural Connectome Validation Using Pairwise Classification | cs.CV | In this work, we study the extent to which structural connectomes and
topological derivative measures are unique to individual changes within human
brains. To do so, we classify structural connectome pairs from two large
longitudinal datasets as either belonging to the same individual or not. Our
data is comprised of 2... | computer science |
39,686 | Double-sided probing by map of Asplund's distances using Logarithmic
Image Processing in the framework of Mathematical Morphology | cs.CV | We establish the link between Mathematical Morphology and the map of
Asplund's distances between a probe and a grey scale function, using the
Logarithmic Image Processing scalar multiplication. We demonstrate that the map
is the logarithm of the ratio between a dilation and an erosion of the function
by a structuring f... | computer science |
39,687 | Deconvolution and Restoration of Optical Endomicroscopy Images | cs.CV | Optical endomicroscopy (OEM) is an emerging technology platform with
preclinical and clinical imaging utility. Pulmonary OEM via multicore fibres
has the potential to provide in vivo in situ molecular signatures of disease
such as infection and inflammation. However, enhancing the quality of data
acquired by this techn... | computer science |
39,688 | SafeDrive: A Robust Lane Tracking System for Autonomous and Assisted
Driving Under Limited Visibility | cs.RO | We present an approach towards robust lane tracking for assisted and
autonomous driving, particularly under poor visibility. Autonomous detection of
lane markers improves road safety, and purely visual tracking is desirable for
widespread vehicle compatibility and reducing sensor intrusion, cost, and
energy consumption... | computer science |
39,689 | Scalable Nearest Neighbor Search based on kNN Graph | cs.CV | Nearest neighbor search is known as a challenging issue that has been studied
for several decades. Recently, this issue becomes more and more imminent in
viewing that the big data problem arises from various fields. In this paper, a
scalable solution based on hill-climbing strategy with the support of k-nearest
neighbo... | computer science |
39,690 | Peduncle Detection of Sweet Pepper for Autonomous Crop Harvesting -
Combined Colour and 3D Information | cs.RO | This paper presents a 3D visual detection method for the challenging task of
detecting peduncles of sweet peppers (Capsicum annuum) in the field. Cutting
the peduncle cleanly is one of the most difficult stages of the harvesting
process, where the peduncle is the part of the crop that attaches it to the
main stem of th... | computer science |
39,691 | ImageNet MPEG-7 Visual Descriptors - Technical Report | cs.CV | ImageNet is a large scale and publicly available image database. It currently
offers more than 14 millions of images, organised according to the WordNet
hierarchy. One of the main objective of the creators is to provide to the
research community a relevant database for visual recognition applications such
as object rec... | computer science |
39,692 | Joint 2D-3D-Semantic Data for Indoor Scene Understanding | cs.CV | We present a dataset of large-scale indoor spaces that provides a variety of
mutually registered modalities from 2D, 2.5D and 3D domains, with
instance-level semantic and geometric annotations. The dataset covers over
6,000m2 and contains over 70,000 RGB images, along with the corresponding
depths, surface normals, sem... | computer science |
39,693 | Contextually Customized Video Summaries via Natural Language | cs.CV | The best summary of a long video differs among different people due to its
highly subjective nature. Even for the same person, the best summary may change
with time or mood. In this paper, we introduce the task of generating
customized video summaries through simple text. First, we train a deep
architecture to effectiv... | computer science |
39,694 | Development of JavaScript-based deep learning platform and application
to distributed training | cs.CV | Deep learning is increasingly attracting attention for processing big data.
Existing frameworks for deep learning must be set up to specialized computer
systems. Gaining sufficient computing resources therefore entails high costs of
deployment and maintenance. In this work, we implement a matrix library and
deep learni... | computer science |
39,695 | Comparison of machine learning methods for classifying mediastinal lymph
node metastasis of non-small cell lung cancer from 18F-FDG PET/CT images | cs.CV | The present study shows that the performance of CNN is not significantly
different from the best classical methods and human doctors for classifying
mediastinal lymph node metastasis of NSCLC from PET/CT images. Because CNN does
not need tumor segmentation or feature calculation, it is more convenient and
more objectiv... | computer science |
39,696 | Manifold Based Low-rank Regularization for Image Restoration and
Semi-supervised Learning | cs.CV | Low-rank structures play important role in recent advances of many problems
in image science and data science. As a natural extension of low-rank
structures for data with nonlinear structures, the concept of the
low-dimensional manifold structure has been considered in many data processing
problems. Inspired by this co... | computer science |
39,697 | Incorporation of prior knowledge of the signal behavior into the
reconstruction to accelerate the acquisition of MR diffusion data | cs.CV | Diffusion MRI measurements using hyperpolarized gases are generally acquired
during patient breath hold, which yields a compromise between achievable image
resolution, lung coverage and number of b-values. In this work, we propose a
novel method that accelerates the acquisition of MR diffusion data by
undersampling in ... | computer science |
39,698 | Distributed Mapping with Privacy and Communication Constraints:
Lightweight Algorithms and Object-based Models | cs.RO | We consider the following problem: a team of robots is deployed in an unknown
environment and it has to collaboratively build a map of the area without a
reliable infrastructure for communication. The backbone for modern mapping
techniques is pose graph optimization, which estimates the trajectory of the
robots, from w... | computer science |
39,699 | BubbleView: an interface for crowdsourcing image importance maps and
tracking visual attention | cs.HC | In this paper, we present BubbleView, an alternative methodology for eye
tracking using discrete mouse clicks to measure which information people
consciously choose to examine. BubbleView is a mouse-contingent, moving-window
interface in which participants are presented with a series of blurred images
and click to reve... | computer science |
39,700 | An Analysis of Parallelized Motion Masking Using Dual-Mode Single
Gaussian Models | cs.CV | Motion detection in video is important for a number of applications and
fields. In video surveillance, motion detection is an essential accompaniment
to activity recognition for early warning systems. Robotics also has much to
gain from motion detection and segmentation, particularly in high speed motion
tracking for t... | computer science |
39,701 | 3D Cell Nuclei Segmentation with Balanced Graph Partitioning | cs.CV | Cell nuclei segmentation is one of the most important tasks in the analysis
of biomedical images. With ever-growing sizes and amounts of three-dimensional
images to be processed, there is a need for better and faster segmentation
methods. Graph-based image segmentation has seen a rise in popularity in recent
years, but... | computer science |
39,702 | Brain Inspired Cognitive Model with Attention for Self-Driving Cars | cs.CV | Perception-driven approach and end-to-end system are two major vision-based
frameworks for self-driving cars. However, it is difficult to introduce
attention and historical information of autonomous driving process, which are
the essential factors for achieving human-like driving into these two methods.
In this paper, ... | computer science |
39,703 | From Photo Streams to Evolving Situations | cs.MM | Photos are becoming spontaneous, objective, and universal sources of
information. This paper develops evolving situation recognition using photo
streams coming from disparate sources combined with the advances of deep
learning. Using visual concepts in photos together with space and time
information, we formulate the s... | computer science |
39,704 | Memory Efficient Max Flow for Multi-label Submodular MRFs | cs.DS | Multi-label submodular Markov Random Fields (MRFs) have been shown to be
solvable using max-flow based on an encoding of the labels proposed by
Ishikawa, in which each variable $X_i$ is represented by $\ell$ nodes (where
$\ell$ is the number of labels) arranged in a column. However, this method in
general requires $2\,... | computer science |
39,705 | Forest understory trees can be segmented accurately within sufficiently
dense airborne laser scanning point clouds | cs.CV | Airborne laser scanning (LiDAR) point clouds over large forested areas can be
processed to segment individual trees and subsequently extract tree-level
information. Existing segmentation procedures typically detect more than 90% of
overstory trees, yet they barely detect 60% of understory trees because of the
occlusion... | computer science |
39,706 | Efficient Dense Labeling of Human Activity Sequences from Wearables
using Fully Convolutional Networks | cs.CV | Recognizing human activities in a sequence is a challenging area of research
in ubiquitous computing. Most approaches use a fixed size sliding window over
consecutive samples to extract features---either handcrafted or learned
features---and predict a single label for all samples in the window. Two key
problems emanate... | computer science |
39,707 | Projection based advanced motion model for cubic mapping for 360-degree
video | cs.MM | This paper proposes a novel advanced motion model to handle the irregular
motion for the cubic map projection of 360-degree video. Since the irregular
motion is mainly caused by the projection from the sphere to the cube map, we
first try to project the pixels in both the current picture and reference
picture from unfo... | computer science |
39,708 | Differential Geometric Retrieval of Deep Features | cs.IR | Comparing images to recommend items from an image-inventory is a subject of
continued interest. Added with the scalability of deep-learning architectures
the once `manual' job of hand-crafting features have been largely alleviated,
and images can be compared according to features generated from a deep
convolutional neu... | computer science |
39,709 | A Discriminative Event Based Model for Alzheimer's Disease Progression
Modeling | cs.CV | The event-based model (EBM) for data-driven disease progression modeling
estimates the sequence in which biomarkers for a disease become abnormal. This
helps in understanding the dynamics of disease progression and facilitates
early diagnosis by staging patients on a disease progression timeline. Existing
EBM methods a... | computer science |
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