Unnamed: 0 int64 0 41k | title stringlengths 4 274 | category stringlengths 5 18 | summary stringlengths 22 3.66k | theme stringclasses 8
values |
|---|---|---|---|---|
39,410 | Clustering Based Feature Learning on Variable Stars | cs.CV | The success of automatic classification of variable stars strongly depends on
the lightcurve representation. Usually, lightcurves are represented as a vector
of many statistical descriptors designed by astronomers called features. These
descriptors commonly demand significant computational power to calculate,
require s... | computer science |
39,411 | Modular Tracking Framework: A Unified Approach to Registration based
Tracking | cs.CV | This paper presents a modular, extensible and highly efficient open source
framework for registration based tracking targeted at robotics applications. It
is implemented entirely in C++ and is designed from the ground up to easily
integrate with systems that support any of several major vision and robotics
libraries in... | computer science |
39,412 | GOGMA: Globally-Optimal Gaussian Mixture Alignment | cs.CV | Gaussian mixture alignment is a family of approaches that are frequently used
for robustly solving the point-set registration problem. However, since they
use local optimisation, they are susceptible to local minima and can only
guarantee local optimality. Consequently, their accuracy is strongly dependent
on the quali... | computer science |
39,413 | Pattern recognition on the quantum Bloch sphere | cs.CV | We introduce a framework suitable for describing pattern recognition task
using the mathematical language of density matrices. In particular, we provide
a one-to-one correspondence between patterns and pure density operators. This
correspondence enables us to: i) represent the Nearest Mean Classifier (NMC) in
terms of ... | computer science |
39,414 | Interactive and Scale Invariant Segmentation of the Rectum/Sigmoid via
User-Defined Templates | cs.CV | Among all types of cancer, gynecological malignancies belong to the 4th most
frequent type of cancer among women. Besides chemotherapy and external beam
radiation, brachytherapy is the standard procedure for the treatment of these
malignancies. In the progress of treatment planning, localization of the tumor
as the tar... | computer science |
39,415 | Photographic dataset: random peppercorns | cs.CV | This is a photographic dataset collected for testing image processing
algorithms. The idea is to have sets of different but statistically similar
images. In this work the images show randomly distributed peppercorns. The
dataset is made available at www.fips.fi/photographic_dataset.php . | computer science |
39,416 | First Steps Toward Camera Model Identification with Convolutional Neural
Networks | cs.CV | Detecting the camera model used to shoot a picture enables to solve a wide
series of forensic problems, from copyright infringement to ownership
attribution. For this reason, the forensic community has developed a set of
camera model identification algorithms that exploit characteristic traces left
on acquired images b... | computer science |
39,417 | Grading of Mammalian Cumulus Oocyte Complexes using Machine Learning for
in Vitro Embryo Culture | cs.CV | Visual observation of Cumulus Oocyte Complexes provides only limited
information about its functional competence, whereas the molecular evaluations
methods are cumbersome or costly. Image analysis of mammalian oocytes can
provide attractive alternative to address this challenge. However, it is
complex, given the huge n... | computer science |
39,418 | Elastic Functional Coding of Riemannian Trajectories | cs.CV | Visual observations of dynamic phenomena, such as human actions, are often
represented as sequences of smoothly-varying features . In cases where the
feature spaces can be structured as Riemannian manifolds, the corresponding
representations become trajectories on manifolds. Analysis of these
trajectories is challengin... | computer science |
39,419 | Authenticating users through their arm movement patterns | cs.CV | In this paper, we propose four continuous authentication designs by using the
characteristics of arm movements while individuals walk. The first design uses
acceleration of arms captured by a smartwatch's accelerometer sensor, the
second design uses the rotation of arms captured by a smartwatch's gyroscope
sensor, thir... | computer science |
39,420 | Iterative Hough Forest with Histogram of Control Points for 6 DoF Object
Registration from Depth Images | cs.CV | State-of-the-art techniques proposed for 6D object pose recovery depend on
occlusion-free point clouds to accurately register objects in 3D space. To
reduce this dependency, we introduce a novel architecture called Iterative
Hough Forest with Histogram of Control Points that is capable of estimating
occluded and clutte... | computer science |
39,421 | Revisiting Active Perception | cs.CV | Despite the recent successes in robotics, artificial intelligence and
computer vision, a complete artificial agent necessarily must include active
perception. A multitude of ideas and methods for how to accomplish this have
already appeared in the past, their broader utility perhaps impeded by
insufficient computationa... | computer science |
39,422 | Template Matching via Densities on the Roto-Translation Group | cs.CV | We propose a template matching method for the detection of 2D image objects
that are characterized by orientation patterns. Our method is based on data
representations via orientation scores, which are functions on the space of
positions and orientations, and which are obtained via a wavelet-type
transform. This new re... | computer science |
39,423 | Fast Optical Flow using Dense Inverse Search | cs.CV | Most recent works in optical flow extraction focus on the accuracy and
neglect the time complexity. However, in real-life visual applications, such as
tracking, activity detection and recognition, the time complexity is critical.
We propose a solution with very low time complexity and competitive accuracy
for the com... | computer science |
39,424 | A Novel Method for Extrinsic Calibration of a 2-D Laser-Rangefinder and
a Camera | cs.CV | We present a novel solution for extrinsically calibrating a camera and a
Laser Rangefinder (LRF) by computing the transformation between the camera
frame and the LRF frame. Our method is applicable for LRFs which measure only a
single plane. It does not rely on observing the laser plane in the camera
image. Instead, we... | computer science |
39,425 | RISAS: A Novel Rotation, Illumination, Scale Invariant Appearance and
Shape Feature | cs.RO | This paper presents a novel appearance and shape feature, RISAS, which is
robust to viewpoint, illumination, scale and rotation variations. RISAS
consists of a keypoint detector and a feature descriptor both of which utilise
texture and geometric information present in the appearance and shape channels.
A novel respons... | computer science |
39,426 | Nested Invariance Pooling and RBM Hashing for Image Instance Retrieval | cs.CV | The goal of this work is the computation of very compact binary hashes for
image instance retrieval. Our approach has two novel contributions. The first
one is Nested Invariance Pooling (NIP), a method inspired from i-theory, a
mathematical theory for computing group invariant transformations with
feed-forward neural n... | computer science |
39,427 | Fourier ptychographic reconstruction using Poisson maximum likelihood
and truncated Wirtinger gradient | cs.CV | Fourier ptychographic microscopy (FPM) is a novel computational coherent
imaging technique for high space-bandwidth product imaging. Mathematically,
Fourier ptychographic (FP) reconstruction can be implemented as a phase
retrieval optimization process, in which we only obtain low resolution
intensity images correspondi... | computer science |
39,428 | 2D Discrete Fourier Transform with Simultaneous Edge Artifact Removal
for Real-Time Applications | cs.CV | Two-Dimensional (2D) Discrete Fourier Transform (DFT) is a basic and
computationally intensive algorithm, with a vast variety of applications. 2D
images are, in general, non-periodic, but are assumed to be periodic while
calculating their DFTs. This leads to cross-shaped artifacts in the frequency
domain due to spectra... | computer science |
39,429 | Image Labeling by Assignment | cs.CV | We introduce a novel geometric approach to the image labeling problem.
Abstracting from specific labeling applications, a general objective function
is defined on a manifold of stochastic matrices, whose elements assign prior
data that are given in any metric space, to observed image measurements. The
corresponding Rie... | computer science |
39,430 | Persistent Homology of Attractors For Action Recognition | cs.CG | In this paper, we propose a novel framework for dynamical analysis of human
actions from 3D motion capture data using topological data analysis. We model
human actions using the topological features of the attractor of the dynamical
system. We reconstruct the phase-space of time series corresponding to actions
using ti... | computer science |
39,431 | Variable-Length Hashing | cs.CV | Hashing has emerged as a popular technique for large-scale similarity search.
Most learning-based hashing methods generate compact yet correlated hash codes.
However, this redundancy is storage-inefficient. Hence we propose a lossless
variable-length hashing (VLH) method that is both storage- and
search-efficient. Stor... | computer science |
39,432 | Unsupervised Cross-Media Hashing with Structure Preservation | cs.CV | Recent years have seen the exponential growth of heterogeneous multimedia
data. The need for effective and accurate data retrieval from heterogeneous
data sources has attracted much research interest in cross-media retrieval.
Here, given a query of any media type, cross-media retrieval seeks to find
relevant results of... | computer science |
39,433 | Approximated Robust Principal Component Analysis for Improved General
Scene Background Subtraction | cs.CV | The research reported in this paper addresses the fundamental task of
separation of locally moving or deforming image areas from a static or globally
moving background. It builds on the latest developments in the field of robust
principal component analysis, specifically, the recently reported practical
solutions for t... | computer science |
39,434 | A Survey of Stealth Malware: Attacks, Mitigation Measures, and Steps
Toward Autonomous Open World Solutions | cs.CR | As our professional, social, and financial existences become increasingly
digitized and as our government, healthcare, and military infrastructures rely
more on computer technologies, they present larger and more lucrative targets
for malware. Stealth malware in particular poses an increased threat because it
is specif... | computer science |
39,435 | Joint System and Algorithm Design for Computationally Efficient Fan Beam
Coded Aperture X-ray Coherent Scatter Imaging | cs.CV | In x-ray coherent scatter tomography, tomographic measurements of the forward
scatter distribution are used to infer scatter densities within a volume. A
radiopaque 2D pattern placed between the object and the detector array enables
the disambiguation between different scatter events. The use of a fan beam
source illum... | computer science |
39,436 | Active Detection and Localization of Textureless Objects in Cluttered
Environments | cs.CV | This paper introduces an active object detection and localization framework
that combines a robust untextured object detection and 3D pose estimation
algorithm with a novel next-best-view selection strategy. We address the
detection and localization problems by proposing an edge-based registration
algorithm that refine... | computer science |
39,437 | On distances, paths and connections for hyperspectral image segmentation | cs.CV | The present paper introduces the $\eta$ and {\eta} connections in order to
add regional information on $\lambda$-flat zones, which only take into account
a local information. A top-down approach is considered. First $\lambda$-flat
zones are built in a way leading to a sub-segmentation. Then a finer
segmentation is obta... | computer science |
39,438 | SMASH: Physics-guided Reconstruction of Collisions from Videos | cs.GR | Collision sequences are commonly used in games and entertainment to add drama
and excitement. Authoring even two body collisions in the real world can be
difficult, as one has to get timing and the object trajectories to be correctly
synchronized. After tedious trial-and-error iterations, when objects can
actually be m... | computer science |
39,439 | Binary Quadratic Programing for Online Tracking of Hundreds of People in
Extremely Crowded Scenes | cs.CV | Multi-object tracking has been studied for decades. However, when it comes to
tracking pedestrians in extremely crowded scenes, we are limited to only few
works. This is an important problem which gives rise to several challenges.
Pre-trained object detectors fail to localize targets in crowded sequences.
This conseque... | computer science |
39,440 | Möbius Invariants of Shapes and Images | cs.CV | Identifying when different images are of the same object despite changes
caused by imaging technologies, or processes such as growth, has many
applications in fields such as computer vision and biological image analysis.
One approach to this problem is to identify the group of possible
transformations of the object and... | computer science |
39,441 | Large Scale Deep Convolutional Neural Network Features Search with
Lucene | cs.CV | In this work, we propose an approach to index Deep Convolutional Neural
Network Features to support efficient content-based retrieval on large image
databases. To this aim, we have converted the these features into a textual
form, to index them into an inverted index by means of Lucene. In this way, we
were able to set... | computer science |
39,442 | Audio-Visual Speaker Diarization Based on Spatiotemporal Bayesian Fusion | cs.CV | Speaker diarization consists of assigning speech signals to people engaged in
a dialogue. An audio-visual spatiotemporal diarization model is proposed. The
model is well suited for challenging scenarios that consist of several
participants engaged in multi-party interaction while they move around and turn
their heads t... | computer science |
39,443 | MARLow: A Joint Multiplanar Autoregressive and Low-Rank Approach for
Image Completion | cs.CV | In this paper, we propose a novel multiplanar autoregressive (AR) model to
exploit the correlation in cross-dimensional planes of a similar patch group
collected in an image, which has long been neglected by previous AR models. On
that basis, we then present a joint multiplanar AR and low-rank based approach
(MARLow) f... | computer science |
39,444 | A metric on the space of finite sets of trajectories for evaluation of
multi-target tracking algorithms | cs.CV | In this paper, we propose a metric on the space of finite sets of
trajectories for assessing multi-target tracking algorithms in a mathematically
sound way. The metric can be used, e.g., to compare estimates from algorithms
with the ground truth. It includes intuitive costs associated to localization,
missed and false ... | computer science |
39,445 | UAV-based Autonomous Image Acquisition with Multi-View Stereo Quality
Assurance by Confidence Prediction | cs.CV | In this paper we present an autonomous system for acquiring close-range
high-resolution images that maximize the quality of a later-on 3D
reconstruction with respect to coverage, ground resolution and 3D uncertainty.
In contrast to previous work, our system uses the already acquired images to
predict the confidence in ... | computer science |
39,446 | Shaping the Future through Innovations: From Medical Imaging to
Precision Medicine | cs.CV | Medical images constitute a source of information essential for disease
diagnosis, treatment and follow-up. In addition, due to its patient-specific
nature, imaging information represents a critical component required for
advancing precision medicine into clinical practice. This manuscript describes
recently developed ... | computer science |
39,447 | Deformably Registering and Annotating Whole CLARITY Brains to an Atlas
via Masked LDDMM | cs.CV | The CLARITY method renders brains optically transparent to enable
high-resolution imaging in the structurally intact brain. Anatomically
annotating CLARITY brains is necessary for discovering which regions contain
signals of interest. Manually annotating whole-brain, terabyte CLARITY images
is difficult, time-consuming... | computer science |
39,448 | When Do Luxury Cars Hit the Road? Findings by A Big Data Approach | cs.CY | In this paper, we focus on studying the appearing time of different kinds of
cars on the road. This information will enable us to infer the life style of
the car owners. The results can further be used to guide marketing towards car
owners. Conventionally, this kind of study is carried out by sending out
questionnaires... | computer science |
39,449 | Efficiently Creating 3D Training Data for Fine Hand Pose Estimation | cs.CV | While many recent hand pose estimation methods critically rely on a training
set of labelled frames, the creation of such a dataset is a challenging task
that has been overlooked so far. As a result, existing datasets are limited to
a few sequences and individuals, with limited accuracy, and this prevents these
methods... | computer science |
39,450 | Real-time 3D Tracking of Articulated Tools for Robotic Surgery | cs.CV | In robotic surgery, tool tracking is important for providing safe tool-tissue
interaction and facilitating surgical skills assessment. Despite recent
advances in tool tracking, existing approaches are faced with major
difficulties in real-time tracking of articulated tools. Most algorithms are
tailored for offline proc... | computer science |
39,451 | Robust and Efficient Relative Pose with a Multi-camera System for
Autonomous Vehicle in Highly Dynamic Environments | cs.RO | This paper studies the relative pose problem for autonomous vehicle driving
in highly dynamic and possibly cluttered environments. This is a challenging
scenario due to the existence of multiple, large, and independently moving
objects in the environment, which often leads to excessive portion of outliers
and results i... | computer science |
39,452 | Real-time Robust Manhattan Frame Estimation: Global Optimality and
Applications | cs.CV | Most man-made environments, such as urban and indoor scenes, consist of a set
of parallel and orthogonal planar structures. These structures are approximated
by Manhattan world assumption and be referred to Manhattan Frame (MF). Given a
set of inputs such as surface normals or vanishing points, we pose an MF
estimation... | computer science |
39,453 | Fast Graph-Based Object Segmentation for RGB-D Images | cs.CV | Object segmentation is an important capability for robotic systems, in
particular for grasping. We present a graph- based approach for the
segmentation of simple objects from RGB-D images. We are interested in
segmenting objects with large variety in appearance, from lack of texture to
strong textures, for the task of ... | computer science |
39,454 | Video2GIF: Automatic Generation of Animated GIFs from Video | cs.CV | We introduce the novel problem of automatically generating animated GIFs from
video. GIFs are short looping video with no sound, and a perfect combination
between image and video that really capture our attention. GIFs tell a story,
express emotion, turn events into humorous moments, and are the new wave of
photojourna... | computer science |
39,455 | Monocular Urban Localization using Street View | cs.RO | This paper presents a metric global localization in the urban environment
only with a monocular camera and the Google Street View database. We fully
leverage the abundant sources from the Street View and benefits from its
topo-metric structure to build a coarse-to-fine positioning, namely a
topological place recognitio... | computer science |
39,456 | A deep convolutional neural network approach to single-particle
recognition in cryo-electron microscopy | cs.CV | Background: Single-particle cryo-electron microscopy (cryo-EM) has become a
popular tool for structural determination of biological macromolecular
complexes. High-resolution cryo-EM reconstruction often requires hundreds of
thousands of single-particle images. Particle extraction from experimental
micrographs thus can ... | computer science |
39,457 | WAHRSIS: A Low-cost, High-resolution Whole Sky Imager With Near-Infrared
Capabilities | cs.CV | Cloud imaging using ground-based whole sky imagers is essential for a
fine-grained understanding of the effects of cloud formations, which can be
useful in many applications. Some such imagers are available commercially, but
their cost is relatively high, and their flexibility is limited. Therefore, we
built a new dayt... | computer science |
39,458 | Automatic Detection of Epileptiform Discharges in the EEG | cs.CV | The diagnosis of epilepsy generally includes a visual inspection of EEG
recorded data by the Neurologist, with the purpose of checking the occurrence
of transient waveforms called interictal epileptiform discharges. These
waveforms have short duration (less than 100 ms), so the inspection process is
usually time-consum... | computer science |
39,459 | Sparse Signal Reconstruction with Multiple Side Information using
Adaptive Weights for Multiview Sources | cs.CV | This work considers reconstructing a target signal in a context of
distributed sparse sources. We propose an efficient reconstruction algorithm
with the aid of other given sources as multiple side information (SI). The
proposed algorithm takes advantage of compressive sensing (CS) with SI and
adaptive weights by solvin... | computer science |
39,460 | Trajectory probability hypothesis density filter | stat.AP | This paper presents the probability hypothesis density (PHD) filter for sets
of trajectories. The resulting filter, which is referred to as trajectory
probability density filter (TPHD), is capable of estimating trajectories in a
principled way without requiring to evaluate all measurement-to-target
association hypothes... | computer science |
39,461 | Blind Analysis of CT Image Noise Using Residual Denoised Images | cs.CV | CT protocol design and quality control would benefit from automated tools to
estimate the quality of generated CT images. These tools could be used to
identify erroneous CT acquisitions or refine protocols to achieve certain
signal to noise characteristics. This paper investigates blind estimation
methods to determine ... | computer science |
39,462 | 2D Visual Place Recognition for Domestic Service Robots at Night | cs.RO | Domestic service robots such as lawn mowing and vacuum cleaning robots are
the most numerous consumer robots in existence today. While early versions
employed random exploration, recent systems fielded by most of the major
manufacturers have utilized range-based and visual sensors and user-placed
beacons to enable robo... | computer science |
39,463 | Multi-Object Tracking and Identification over Sets | cs.CV | The ability for an autonomous agent or robot to track and identify
potentially multiple objects in a dynamic environment is essential for many
applications, such as automated surveillance, traffic monitoring, human-robot
interaction, etc. The main challenge is due to the noisy and incomplete
perception including inevit... | computer science |
39,464 | Multiple target tracking based on sets of trajectories | cs.CV | This paper proposes the set of target trajectories as the state variable for
multiple target tracking. The main objective of multiple target tracking is to
estimate an unknown number of target trajectories given a sequence of
measurements. This quantity of interest is perfectly represented as a set of
trajectories with... | computer science |
39,465 | A Light-powered, Always-On, Smart Camera with Compressed Domain Gesture
Detection | cs.CV | In this paper we propose an energy-efficient camera-based gesture recognition
system powered by light energy for "always on" applications. Low energy
consumption is achieved by directly extracting gesture features from the
compressed measurements, which are the block averages and the linear
combinations of the image se... | computer science |
39,466 | Pairwise Decomposition of Image Sequences for Active Multi-View
Recognition | cs.CV | A multi-view image sequence provides a much richer capacity for object
recognition than from a single image. However, most existing solutions to
multi-view recognition typically adopt hand-crafted, model-based geometric
methods, which do not readily embrace recent trends in deep learning. We
propose to bring Convolutio... | computer science |
39,467 | A Feature based Approach for Video Compression | cs.CV | It is a high cost problem for panoramic image stitching via image matching
algorithm and not practical for real-time performance. In this paper, we take
full advantage ofHarris corner invariant characterization method light
intensity parallel meaning, translation and rotation, and made a realtime
panoramic image stitch... | computer science |
39,468 | Image segmentation based on the hybrid total variation model and the
K-means clustering strategy | math.OC | The performance of image segmentation highly relies on the original inputting
image. When the image is contaminated by some noises or blurs, we can not
obtain the efficient segmentation result by using direct segmentation methods.
In order to efficiently segment the contaminated image, this paper proposes a
two step me... | computer science |
39,469 | Quantitative Analysis of Saliency Models | cs.GR | Previous saliency detection research required the reader to evaluate
performance qualitatively, based on renderings of saliency maps on a few
shapes. This qualitative approach meant it was unclear which saliency models
were better, or how well they compared to human perception. This paper provides
a quantitative evalua... | computer science |
39,470 | Dictionary Learning for Robotic Grasp Recognition and Detection | cs.RO | The ability to grasp ordinary and potentially never-seen objects is an
important feature in both domestic and industrial robotics. For a system to
accomplish this, it must autonomously identify grasping locations by using
information from various sensors, such as Microsoft Kinect 3D camera. Despite
numerous progress, s... | computer science |
39,471 | Unifying Geometric Features and Facial Action Units for Improved
Performance of Facial Expression Analysis | cs.CV | Previous approaches to model and analyze facial expression analysis use three
different techniques: facial action units, geometric features and graph based
modelling. However, previous approaches have treated these technique
separately. There is an interrelationship between these techniques. The facial
expression analy... | computer science |
39,472 | Automatic Separation of Compound Figures in Scientific Articles | cs.CV | Content-based analysis and retrieval of digital images found in scientific
articles is often hindered by images consisting of multiple subfigures
(compound figures). We address this problem by proposing a method to
automatically classify and separate compound figures, which consists of two
main steps: (i) a supervised ... | computer science |
39,473 | Reinforcement Learning for Semantic Segmentation in Indoor Scenes | cs.CV | Future advancements in robot autonomy and sophistication of robotics tasks
rest on robust, efficient, and task-dependent semantic understanding of the
environment. Semantic segmentation is the problem of simultaneous segmentation
and categorization of a partition of sensory data. The majority of current
approaches tack... | computer science |
39,474 | An Interactive Medical Image Segmentation Framework Using Iterative
Refinement | cs.CV | Image segmentation is often performed on medical images for identifying
diseases in clinical evaluation. Hence it has become one of the major research
areas. Conventional image segmentation techniques are unable to provide
satisfactory segmentation results for medical images as they contain
irregularities. They need to... | computer science |
39,475 | Pairwise Quantization | cs.CV | We consider the task of lossy compression of high-dimensional vectors through
quantization. We propose the approach that learns quantization parameters by
minimizing the distortion of scalar products and squared distances between
pairs of points. This is in contrast to previous works that obtain these
parameters throug... | computer science |
39,476 | Joint Recursive Monocular Filtering of Camera Motion and Disparity Map | cs.CV | Monocular scene reconstruction is essential for modern applications such as
robotics or autonomous driving. Although stereo methods usually result in
better accuracy than monocular methods, they are more expensive and more
difficult to calibrate. In this work, we present a novel second order optimal
minimum energy filt... | computer science |
39,477 | Enhanced high dynamic range 3D shape measurement based on generalized
phase-shifting algorithm | cs.CV | It is a challenge for Phase Measurement Profilometry (PMP) to measure objects
with a large range of reflectivity variation across the surface. Saturated or
dark pixels in the deformed fringe patterns captured by the camera will lead to
phase fluctuations and errors. Jiang et al. proposed a high dynamic range
real-time ... | computer science |
39,478 | Free Form based active contours for image segmentation and free space
perception | cs.RO | In this paper we present a novel approach for representing and evolving
deformable active contours. The method combines piecewise regular B{\'e}zier
models and curve evolution defined by local Free Form Deformation. The contour
deformation is locally constrained which allows contour convergence with almost
linear compl... | computer science |
39,479 | A practical local tomography reconstruction algorithm based on known
subregion | cs.CV | We propose a new method to reconstruct data acquired in a local tomography
setup. This method uses an initial reconstruction and refines it by correcting
the low frequency artifacts known as the cupping effect. A basis of Gaussian
functions is used to correct the initial reconstruction. The coefficients of
this basis a... | computer science |
39,480 | High-speed real-time single-pixel microscopy based on Fourier sampling | cs.CV | Single-pixel cameras based on the concepts of compressed sensing (CS)
leverage the inherent structure of images to retrieve them with far fewer
measurements and operate efficiently over a significantly broader spectral
range than conventional silicon-based cameras. Recently, photonic time-stretch
(PTS) technique facili... | computer science |
39,481 | A Survey of Pansharpening Methods with A New Band-Decoupled Variational
Model | cs.CV | Most satellites decouple the acquisition of a panchromatic image at high
spatial resolution from the acquisition of a multispectral image at lower
spatial resolution. Pansharpening is a fusion technique used to increase the
spatial resolution of the multispectral data while simultaneously preserving
its spectral inform... | computer science |
39,482 | Deep Learning for Identifying Metastatic Breast Cancer | cs.CV | The International Symposium on Biomedical Imaging (ISBI) held a grand
challenge to evaluate computational systems for the automated detection of
metastatic breast cancer in whole slide images of sentinel lymph node biopsies.
Our team won both competitions in the grand challenge, obtaining an area under
the receiver ope... | computer science |
39,483 | RRV: A Spatiotemporal Descriptor for Rigid Body Motion Recognition | cs.RO | Motion behaviors of a rigid body can be characterized by a 6-dimensional
motion trajectory, which contains position vectors of a reference point on the
rigid body and rotations of this rigid body over time. This paper devises a
Rotation and Relative Velocity (RRV) descriptor by exploring the local
translational and rot... | computer science |
39,484 | Automatic 3D Reconstruction for Symmetric Shapes | cs.CV | Generic 3D reconstruction from a single image is a difficult problem. A lot
of data loss occurs in the projection. A domain based approach to
reconstruction where we solve a smaller set of problems for a particular use
case lead to greater returns. The project provides a way to automatically
generate full 3-D rendition... | computer science |
39,485 | Detection and Tracking of Liquids with Fully Convolutional Networks | cs.CV | 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 |
39,486 | Human Computer Interaction Using Marker Based Hand Gesture Recognition | cs.HC | Human Computer Interaction (HCI) has been redefined in this era. People want
to interact with their devices in such a way that has physical significance in
the real world, in other words, they want ergonomic input devices. In this
paper, we propose a new method of interaction with computing devices having a
consumer gr... | computer science |
39,487 | Automatic Neuron Detection in Calcium Imaging Data Using Convolutional
Networks | cs.CV | Calcium imaging is an important technique for monitoring the activity of
thousands of neurons simultaneously. As calcium imaging datasets grow in size,
automated detection of individual neurons is becoming important. Here we apply
a supervised learning approach to this problem and show that convolutional
networks can a... | computer science |
39,488 | Finding the Topic of a Set of Images | cs.CV | In this paper we introduce the problem of determining the topic that a set of
images is describing, where every topic is represented as a set of words.
Different from other problems like tag assignment or similar, a) we assume
multiple images are used as input instead of single image, b) Input images are
typically not ... | computer science |
39,489 | De-Hashing: Server-Side Context-Aware Feature Reconstruction for Mobile
Visual Search | cs.MM | Due to the prevalence of mobile devices, mobile search becomes a more
convenient way than desktop search. Different from the traditional desktop
search, mobile visual search needs more consideration for the limited resources
on mobile devices (e.g., bandwidth, computing power, and memory consumption).
The state-of-the-... | computer science |
39,490 | Resolution- and throughput-enhanced spectroscopy using high-throughput
computational slit | cs.CV | There exists a fundamental tradeoff between spectral resolution and the
efficiency or throughput for all optical spectrometers. The primary factors
affecting the spectral resolution and throughput of an optical spectrometer are
the size of the entrance aperture and the optical power of the focusing
element. Thus far co... | computer science |
39,491 | A spectral-spatial fusion model for robust blood pulse waveform
extraction in photoplethysmographic imaging | cs.CV | Photoplethysmographic imaging is a camera-based solution for non-contact
cardiovascular monitoring from a distance. This technology enables monitoring
in situations where contact-based devices may be problematic or infeasible,
such as ambulatory, sleep, and multi-individual monitoring. However, extracting
the blood pul... | computer science |
39,492 | Steering a Predator Robot using a Mixed Frame/Event-Driven Convolutional
Neural Network | cs.RO | This paper describes the application of a Convolutional Neural Network (CNN)
in the context of a predator/prey scenario. The CNN is trained and run on data
from a Dynamic and Active Pixel Sensor (DAVIS) mounted on a Summit XL robot
(the predator), which follows another one (the prey). The CNN is driven by both
conventi... | computer science |
39,493 | Noise Models in Feature-based Stereo Visual Odometry | cs.RO | Feature-based visual structure and motion reconstruction pipelines, common in
visual odometry and large-scale reconstruction from photos, use the location of
corresponding features in different images to determine the 3D structure of the
scene, as well as the camera parameters associated with each image. The noise
mode... | computer science |
39,494 | Keyframe-based monocular SLAM: design, survey, and future directions | cs.CV | Extensive research in the field of monocular SLAM for the past fifteen years
has yielded workable systems that found their way into various applications in
robotics and augmented reality. Although filter-based monocular SLAM systems
were common at some time, the more efficient keyframe-based solutions are
becoming the ... | computer science |
39,495 | Cell assemblies at multiple time scales with arbitrary lag
constellations | cs.CV | Hebb's idea of a cell assembly as the fundamental unit of neural information
processing has dominated neuroscience like no other theoretical concept within
the past 60 years. A range of different physiological phenomena, from precisely
synchronized spiking to broadly simultaneous rate increases, has been subsumed
under... | computer science |
39,496 | Aggressive actions and anger detection from multiple modalities using
Kinect | cs.HC | Prison facilities, mental correctional institutions, sports bars and places
of public protest are prone to sudden violence and conflicts. Surveillance
systems play an important role in mitigation of hostile behavior and
improvement of security by detecting such provocative and aggressive
activities. This research propo... | computer science |
39,497 | EmoFit: Affect Monitoring System for Sedentary Jobs | cs.HC | Emotional and physical well-being at workplace is important for a positive
work environment and higher productivity. Jobs such as software programming
lead to a sedentary lifestyle and require high interaction with computers.
Working at the same job for years can cause a feeling of intellectual
stagnation and lack of d... | computer science |
39,498 | Object Recognition and Identification Using ESM Data | stat.AP | Recognition and identification of unknown targets is a crucial task in
surveillance and security systems. Electronic Support Measures (ESM) are one of
the most effective sensors for identification, especially for maritime and
air--to--ground applications. In typical surveillance systems multiple ESM
sensors are usually... | computer science |
39,499 | From Collective Adaptive Systems to Human Centric Computation and Back:
Spatial Model Checking for Medical Imaging | cs.LO | Recent research on formal verification for Collective Adaptive Systems (CAS)
pushed advancements in spatial and spatio-temporal model checking, and as a
side result provided novel image analysis methodologies, rooted in logical
methods for topological spaces. Medical Imaging (MI) is a field where such
technologies show... | computer science |
39,500 | Non-Central Catadioptric Cameras Pose Estimation using 3D Lines | cs.RO | In this article we purpose a novel method for planar pose estimation of
mobile robots. This method is based on an analytic solution (which we derived)
for the projection of 3D straight lines, onto the mirror of Non-Central
Catadioptric Cameras (NCCS). The resulting solution is rewritten as a function
of the rotation an... | computer science |
39,501 | Multimodal Affect Recognition using Kinect | cs.HC | Affect (emotion) recognition has gained significant attention from
researchers in the past decade. Emotion-aware computer systems and devices have
many applications ranging from interactive robots, intelligent online tutor to
emotion based navigation assistant. In this research data from multiple
modalities such as fac... | computer science |
39,502 | DNA Image Pro -- A Tool for Generating Pixel Patterns using DNA Tile
Assembly | cs.ET | Self-assembly is a process found everywhere in the Nature. In particular, it
is known that DNA self-assembly is Turing universal. Thus one can do arbitrary
computations or build nano-structures using DNA self-assembly. In order to
understand the DNA self-assembly process, many mathematical models have been
proposed in ... | computer science |
39,503 | A Representation Theory Perspective on Simultaneous Alignment and
Classification | cs.CV | One of the difficulties in 3D reconstruction of molecules from images in
single particle Cryo-Electron Microscopy (Cryo-EM), in addition to high levels
of noise and unknown image orientations, is heterogeneity in samples: in many
cases, the samples contain a mixture of molecules, or multiple conformations of
one molecu... | computer science |
39,504 | Event-based, 6-DOF Camera Tracking from Photometric Depth Maps | cs.CV | Event cameras are bio-inspired vision sensors that output pixel-level
brightness changes instead of standard intensity frames. These cameras do not
suffer from motion blur and have a very high dynamic range, which enables them
to provide reliable visual information during high-speed motions or in scenes
characterized b... | computer science |
39,505 | Deleting and Testing Forbidden Patterns in Multi-Dimensional Arrays | cs.DS | Understanding the local behaviour of structured multi-dimensional data is a
fundamental problem in various areas of computer science. As the amount of data
is often huge, it is desirable to obtain sublinear time algorithms, and
specifically property testers, to understand local properties of the data.
We focus on the... | computer science |
39,506 | A real-time analysis of rock fragmentation using UAV technology | cs.RO | Accurate measurement of blast-induced rock fragmentation is of great
importance for many mining operations. The post-blast rock size distribution
can significantly influence the efficiency of all the downstream mining and
comminution processes. Image analysis methods are one of the most common
methods used to measure r... | computer science |
39,507 | Defensive Distillation is Not Robust to Adversarial Examples | cs.CR | We show that defensive distillation is not secure: it is no more resistant to
targeted misclassification attacks than unprotected neural networks. | computer science |
39,508 | A Real-Time Deep Learning Pedestrian Detector for Robot Navigation | cs.RO | A real-time Deep Learning based method for Pedestrian Detection (PD) is
applied to the Human-Aware robot navigation problem. The pedestrian detector
combines the Aggregate Channel Features (ACF) detector with a deep
Convolutional Neural Network (CNN) in order to obtain fast and accurate
performance. Our solution is fir... | computer science |
39,509 | Efficient and Robust Pedestrian Detection using Deep Learning for
Human-Aware Navigation | cs.RO | This paper addresses the problem of Human-Aware Navigation (HAN), using multi
camera sensors to implement a vision-based person tracking system. The main
contributions of this paper are as follows: a novel and efficient Deep Learning
person detection and a standardization of human-aware constraints. In the first
stage ... | computer science |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.