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39,310 | Enabling Depth-driven Visual Attention on the iCub Humanoid Robot:
Instructions for Use and New Perspectives | cs.RO | The importance of depth perception in the interactions that humans have
within their nearby space is a well established fact. Consequently, it is also
well known that the possibility of exploiting good stereo information would
ease and, in many cases, enable, a large variety of attentional and interactive
behaviors on ... | computer science |
39,311 | 3D Scan Registration using Curvelet Features in Planetary Environments | cs.CV | Topographic mapping in planetary environments relies on accurate 3D scan
registration methods. However, most global registration algorithms relying on
features such as FPFH and Harris-3D show poor alignment accuracy in these
settings due to the poor structure of the Mars-like terrain and variable
resolution, occluded, ... | computer science |
39,312 | On Optimizing Human-Machine Task Assignments | cs.HC | When crowdsourcing systems are used in combination with machine inference
systems in the real world, they benefit the most when the machine system is
deeply integrated with the crowd workers. However, if researchers wish to
integrate the crowd with "off-the-shelf" machine classifiers, this deep
integration is not alway... | computer science |
39,313 | Anomaly Detection in Unstructured Environments using Bayesian
Nonparametric Scene Modeling | cs.CV | This paper explores the use of a Bayesian non-parametric topic modeling
technique for the purpose of anomaly detection in video data. We present
results from two experiments. The first experiment shows that the proposed
technique is automatically able characterize the underlying terrain, and detect
anomalous flora in i... | computer science |
39,314 | Transfer Learning from Deep Features for Remote Sensing and Poverty
Mapping | cs.CV | The lack of reliable data in developing countries is a major obstacle to
sustainable development, food security, and disaster relief. Poverty data, for
example, is typically scarce, sparse in coverage, and labor-intensive to
obtain. Remote sensing data such as high-resolution satellite imagery, on the
other hand, is be... | computer science |
39,315 | RAID: A Relation-Augmented Image Descriptor | cs.GR | As humans, we regularly interpret images based on the relations between image
regions. For example, a person riding object X, or a plank bridging two
objects. Current methods provide limited support to search for images based on
such relations. We present RAID, a relation-augmented image descriptor that
supports querie... | computer science |
39,316 | Bregman Iteration for Correspondence Problems: A Study of Optical Flow | math.OC | Bregman iterations are known to yield excellent results for denoising,
deblurring and compressed sensing tasks, but so far this technique has rarely
been used for other image processing problems. In this paper we give a thorough
description of the Bregman iteration, unifying thereby results of different
authors within ... | computer science |
39,317 | On the Existence of Epipolar Matrices | cs.CV | This paper considers the foundational question of the existence of a
fundamental (resp. essential) matrix given $m$ point correspondences in two
views. We present a complete answer for the existence of fundamental matrices
for any value of $m$. Using examples we disprove the widely held beliefs that
fundamental matrice... | computer science |
39,318 | Event-based Camera Pose Tracking using a Generative Event Model | cs.CV | Event-based vision sensors mimic the operation of biological retina and they
represent a major paradigm shift from traditional cameras. Instead of providing
frames of intensity measurements synchronously, at artificially chosen rates,
event-based cameras provide information on brightness changes asynchronously,
when th... | computer science |
39,319 | TagBook: A Semantic Video Representation without Supervision for Event
Detection | cs.CV | We consider the problem of event detection in video for scenarios where only
few, or even zero examples are available for training. For this challenging
setting, the prevailing solutions in the literature rely on a semantic video
representation obtained from thousands of pre-trained concept detectors.
Different from ex... | computer science |
39,320 | Fast sequential forensic camera identification | cs.CR | Two sequential camera source identification methods are proposed. Sequential
tests implement a log-likelihood ratio test in an incremental way, thus
enabling a reliable decision with a minimal number of observations. One of our
methods adapts Goljan et al.'s to sequential operation. The second, which
offers better perf... | computer science |
39,321 | Variable-state Latent Conditional Random Fields for Facial Expression
Recognition and Action Unit Detection | cs.CV | Automated recognition of facial expressions of emotions, and detection of
facial action units (AUs), from videos depends critically on modeling of their
dynamics. These dynamics are characterized by changes in temporal phases
(onset-apex-offset) and intensity of emotion expressions and AUs, the
appearance of which may ... | computer science |
39,322 | Elasticity-based Matching by Minimizing the Symmetric Difference of
Shapes | cs.CV | We consider the problem of matching two shapes assuming these shapes are
related by an elastic deformation. Using linearized elasticity theory and the
finite element method we seek an elastic deformation that is caused by simple
external boundary forces and accounts for the difference between the two
shapes. Our main c... | computer science |
39,323 | Towards Reversible De-Identification in Video Sequences Using 3D Avatars
and Steganography | cs.CV | We propose a de-identification pipeline that protects the privacy of humans
in video sequences by replacing them with rendered 3D human models, hence
concealing their identity while retaining the naturalness of the scene. The
original images of humans are steganographically encoded in the carrier image,
i.e. the image ... | computer science |
39,324 | Predicting popularity of online videos using Support Vector Regression | cs.SI | In this work, we propose a regression method to predict the popularity of an
online video based on temporal and visual cues. Our method uses Support Vector
Regression with Gaussian Radial Basis Functions. We show that modelling
popularity patterns with this approach provides higher and more stable
prediction results, m... | computer science |
39,325 | Generic decoding of seen and imagined objects using hierarchical visual
features | cs.CV | Object recognition is a key function in both human and machine vision. While
recent studies have achieved fMRI decoding of seen and imagined contents, the
prediction is limited to training examples. We present a decoding approach for
arbitrary objects, using the machine vision principle that an object category
is repre... | computer science |
39,326 | Seam Puckering Objective Evaluation Method for Sewing Process | cs.CV | The paper presents an automated method for the assessment and classification
of puckering defects detected during the preproduction control stage of the
sewing machine or product inspection. In this respect, we have presented the
possible causes and remedies of the wrinkle nonconformities. Subjective factors
related to... | computer science |
39,327 | Pan-Tilt Camera and PIR Sensor Fusion Based Moving Object Detection for
Mobile Security Robots | cs.RO | One of fundamental issues for security robots is to detect and track people
in the surroundings. The main problems of this task are real-time constraints,
a changing background, varying illumination conditions and a non-rigid shape of
the person to be tracked. In this paper, we propose a solution for tracking
with a pa... | computer science |
39,328 | Toward Long Distance, Sub-diffraction Imaging Using Coherent Camera
Arrays | cs.CV | In this work, we propose using camera arrays coupled with coherent
illumination as an effective method of improving spatial resolution in long
distance images by a factor of ten and beyond. Recent advances in ptychography
have demonstrated that one can image beyond the diffraction limit of the
objective lens in a micro... | computer science |
39,329 | Privacy Prediction of Images Shared on Social Media Sites Using Deep
Features | cs.CV | Online image sharing in social media sites such as Facebook, Flickr, and
Instagram can lead to unwanted disclosure and privacy violations, when privacy
settings are used inappropriately. With the exponential increase in the number
of images that are shared online every day, the development of effective and
efficient pr... | computer science |
39,330 | A Deep Siamese Network for Scene Detection in Broadcast Videos | cs.CV | We present a model that automatically divides broadcast videos into coherent
scenes by learning a distance measure between shots. Experiments are performed
to demonstrate the effectiveness of our approach by comparing our algorithm
against recent proposals for automatic scene segmentation. We also propose an
improved p... | computer science |
39,331 | Accurate Vision-based Vehicle Localization using Satellite Imagery | cs.RO | We propose a method for accurately localizing ground vehicles with the aid of
satellite imagery. Our approach takes a ground image as input, and outputs the
location from which it was taken on a georeferenced satellite image. We perform
visual localization by estimating the co-occurrence probabilities between the
groun... | computer science |
39,332 | Sketch-based Image Retrieval from Millions of Images under Rotation,
Translation and Scale Variations | cs.CV | Proliferation of touch-based devices has made sketch-based image retrieval
practical. While many methods exist for sketch-based object detection/image
retrieval on small datasets, relatively less work has been done on large
(web)-scale image retrieval. In this paper, we present an efficient approach
for image retrieval... | computer science |
39,333 | High-Performance and Tunable Stereo Reconstruction | cs.RO | Traditional stereo algorithms have focused their efforts on reconstruction
quality and have largely avoided prioritizing for run time performance. Robots,
on the other hand, require quick maneuverability and effective computation to
observe its immediate environment and perform tasks within it. In this work, we
propose... | computer science |
39,334 | Next Generation Multicuts for Semi-Planar Graphs | cs.CV | We study the problem of multicut segmentation. We introduce modified versions
of the Semi-PlanarCC based on bounding Lagrange multipliers. We apply our work
to natural image segmentation. | computer science |
39,335 | VideoStory Embeddings Recognize Events when Examples are Scarce | cs.CV | This paper aims for event recognition when video examples are scarce or even
completely absent. The key in such a challenging setting is a semantic video
representation. Rather than building the representation from individual
attribute detectors and their annotations, we propose to learn the entire
representation from ... | computer science |
39,336 | Poisson Inverse Problems by the Plug-and-Play scheme | cs.CV | The Anscombe transform offers an approximate conversion of a Poisson random
variable into a Gaussian one. This transform is important and appealing, as it
is easy to compute, and becomes handy in various inverse problems with Poisson
noise contamination. Solution to such problems can be done by first applying
the Ansco... | computer science |
39,337 | Bearing fault diagnosis based on spectrum images of vibration signals | cs.CV | Bearing fault diagnosis has been a challenge in the monitoring activities of
rotating machinery, and it's receiving more and more attention. The
conventional fault diagnosis methods usually extract features from the
waveforms or spectrums of vibration signals in order to realize fault
classification. In this paper, a n... | computer science |
39,338 | Parkinson's disease patient rehabilitation using gaming platforms:
lessons learnt | cs.CY | Parkinson's disease (PD) is a progressive neurodegenerative movement disorder
where motor dysfunction gradually increases as the disease progress. In
addition to administering dopaminergic PD-specific drugs, attending
neurologists strongly recommend regular exercise combined with physiotherapy.
However, because of the ... | computer science |
39,339 | Experimental robustness of Fourier Ptychography phase retrieval
algorithms | cs.CV | Fourier ptychography is a new computational microscopy technique that
provides gigapixel-scale intensity and phase images with both wide
field-of-view and high resolution. By capturing a stack of low-resolution
images under different illumination angles, a nonlinear inverse algorithm can
be used to computationally reco... | computer science |
39,340 | A GMM-Based Stair Quality Model for Human Perceived JPEG Images | cs.MM | Based on the notion of just noticeable differences (JND), a stair quality
function (SQF) was recently proposed to model human perception on JPEG images.
Furthermore, a k-means clustering algorithm was adopted to aggregate JND data
collected from multiple subjects to generate a single SQF. In this work, we
propose a new... | computer science |
39,341 | Separation Surfaces in the Spectral TV Domain for Texture Decomposition | cs.CV | In this paper we introduce a novel notion of separation surfaces for image
decomposition. A surface is embedded in the spectral total-variation (TV) three
dimensional domain and encodes a spatially-varying separation scale. The method
allows good separation of textures with gradually varying pattern-size,
pattern-contr... | computer science |
39,342 | Graph-based denoising for time-varying point clouds | cs.CV | Noisy 3D point clouds arise in many applications. They may be due to errors
when constructing a 3D model from images or simply to imprecise depth sensors.
Point clouds can be given geometrical structure using graphs created from the
similarity information between points. This paper introduces a technique that
uses this... | computer science |
39,343 | Moral Lineage Tracing | cs.CV | Lineage tracing, the tracking of living cells as they move and divide, is a
central problem in biological image analysis. Solutions, called lineage
forests, are key to understanding how the structure of multicellular organisms
emerges. We propose an integer linear program (ILP) whose feasible solutions
define a decompo... | computer science |
39,344 | Dense Human Body Correspondences Using Convolutional Networks | cs.CV | We propose a deep learning approach for finding dense correspondences between
3D scans of people. Our method requires only partial geometric information in
the form of two depth maps or partial reconstructed surfaces, works for humans
in arbitrary poses and wearing any clothing, does not require the two people to
be sc... | computer science |
39,345 | A Simple Hierarchical Pooling Data Structure for Loop Closure | cs.CV | We propose a data structure obtained by hierarchically averaging bag-of-word
descriptors during a sequence of views that achieves average speedups in
large-scale loop closure applications ranging from 4 to 20 times on benchmark
datasets. Although simple, the method works as well as sophisticated
agglomerative schemes a... | computer science |
39,346 | Acceleration of the PDHGM on strongly convex subspaces | math.OC | We propose several variants of the primal-dual method due to Chambolle and
Pock. Without requiring full strong convexity of the objective functions, our
methods are accelerated on subspaces with strong convexity. This yields mixed
rates, $O(1/N^2)$ with respect to initialisation and $O(1/N)$ with respect to
the dual se... | computer science |
39,347 | Multi-Volume High Resolution RGB-D Mapping with Dynamic Volume Placement | cs.RO | We present a novel RGB-D mapping system for generating 3D maps over spatially
extended regions with higher resolution than current methods using multiple,
dynamically placed mapping volumes. Our method takes in RGB-D frames and
dynamically assigns multiple mapping volumes to the environment, exchanging
mapping volumes ... | computer science |
39,348 | CNNdroid: GPU-Accelerated Execution of Trained Deep Convolutional Neural
Networks on Android | cs.DC | Many mobile applications running on smartphones and wearable devices would
potentially benefit from the accuracy and scalability of deep CNN-based machine
learning algorithms. However, performance and energy consumption limitations
make the execution of such computationally intensive algorithms on mobile
devices prohib... | computer science |
39,349 | Coresets for Kinematic Data: From Theorems to Real-Time Systems | cs.RO | A coreset (or core-set) of a dataset is its semantic compression with respect
to a set of queries, such that querying the (small) coreset provably yields an
approximate answer to querying the original (full) dataset. In the last decade,
coresets provided breakthroughs in theoretical computer science for
approximation a... | computer science |
39,350 | Dynamic Parallel and Distributed Graph Cuts | cs.DS | Graph-cuts are widely used in computer vision. In order to speed up the
optimization process and improve the scalability for large graphs, Strandmark
and Kahl introduced a splitting method to split a graph into multiple subgraphs
for parallel computation in both shared and distributed memory models. However,
this paral... | computer science |
39,351 | Accelerated graph-based nonlinear denoising filters | cs.CV | Denoising filters, such as bilateral, guided, and total variation filters,
applied to images on general graphs may require repeated application if noise
is not small enough. We formulate two acceleration techniques of the resulted
iterations: conjugate gradient method and Nesterov's acceleration. We
numerically show ef... | computer science |
39,352 | Efficient Edge Detection on Low-Cost FPGAs | cs.AR | Improving the efficiency of edge detection in embedded applications, such as
UAV control, is critical for reducing system cost and power dissipation. Field
programmable gate arrays (FPGA) are a good platform for making improvements
because of their specialised internal structure. However, current FPGA edge
detectors do... | computer science |
39,353 | Continuous and Simultaneous Gesture and Posture Recognition for
Commanding a Robotic Wheelchair; Towards Spotting the Signal Patterns | cs.RO | Spotting signal patterns with varying lengths has been still an open problem
in the literature. In this study, we describe a signal pattern recognition
approach for continuous and simultaneous classification of a tracked hand's
posture and gestures and map them to steering commands for control of a robotic
wheelchair. ... | computer science |
39,354 | MMSE Estimation for Poisson Noise Removal in Images | cs.CV | Poisson noise suppression is an important preprocessing step in several
applications, such as medical imaging, microscopy, and astronomical imaging. In
this work, we propose a novel patch-wise Poisson noise removal strategy, in
which the MMSE estimator is utilized in order to produce the denoising result
for each image... | computer science |
39,355 | Hyperspectral Chemical Plume Detection Algorithms Based On
Multidimensional Iterative Filtering Decomposition | math.NA | Chemicals released in the air can be extremely dangerous for human beings and
the environment. Hyperspectral images can be used to identify chemical plumes,
however the task can be extremely challenging. Assuming we know a priori that
some chemical plume, with a known frequency spectrum, has been photographed
using a h... | computer science |
39,356 | Sensor Fusion of Camera, GPS and IMU using Fuzzy Adaptive Multiple
Motion Models | cs.RO | A tracking system that will be used for Augmented Reality (AR) applications
has two main requirements: accuracy and frame rate. The first requirement is
related to the performance of the pose estimation algorithm and how accurately
the tracking system can find the position and orientation of the user in the
environment... | computer science |
39,357 | Yet Another Statistical Analysis of Bob Ross Paintings | stat.AP | In this paper, we analyze a sample of clippings from paintings by the late
artist Bob Ross. Previous work focused on the qualitative themes of his
paintings (Hickey, 2014); here, we expand on that line of research by
considering the colorspace and luminosity values as our data. Our results
demonstrate the subtle aesthe... | computer science |
39,358 | Watch-Bot: Unsupervised Learning for Reminding Humans of Forgotten
Actions | cs.RO | We present a robotic system that watches a human using a Kinect v2 RGB-D
sensor, detects what he forgot to do while performing an activity, and if
necessary reminds the person using a laser pointer to point out the related
object. Our simple setup can be easily deployed on any assistive robot.
Our approach is based o... | computer science |
39,359 | A proposal project for a blind image quality assessment by learning
distortions from the full reference image quality assessments | cs.MM | This short paper presents a perspective plan to build a null reference image
quality assessment. Its main goal is to deliver both the objective score and
the distortion map for a given distorted image without the knowledge of its
reference image. | computer science |
39,360 | On Deep Representation Learning from Noisy Web Images | cs.CV | The keep-growing content of Web images may be the next important data source
to scale up deep neural networks, which recently obtained a great success in
the ImageNet classification challenge and related tasks. This prospect,
however, has not been validated on convolutional networks (convnet) -- one of
best performing ... | computer science |
39,361 | Plug-and-Play Priors for Bright Field Electron Tomography and Sparse
Interpolation | cs.CV | Many material and biological samples in scientific imaging are characterized
by non-local repeating structures. These are studied using scanning electron
microscopy and electron tomography. Sparse sampling of individual pixels in a
2D image acquisition geometry, or sparse sampling of projection images with
large tilt i... | computer science |
39,362 | GPU-Based Fuzzy C-Means Clustering Algorithm for Image Segmentation | cs.DC | In this paper, a fast and practical GPU-based implementation of Fuzzy
C-Means(FCM) clustering algorithm for image segmentation is proposed. First, an
extensive analysis is conducted to study the dependency among the image pixels
in the algorithm for parallelization. The proposed GPU-based FCM has been
tested on digital... | computer science |
39,363 | How can one sample images with sampling rates close to the theoretical
minimum? | cs.CV | A problem is addressed of minimization of the number of measurements needed
for digital image acquisition and reconstruction with a given accuracy. A
sampling theory based method of image sampling and reconstruction is suggested
that allows to draw near the minimal rate of image sampling defined by the
sampling theory.... | computer science |
39,364 | Shape Animation with Combined Captured and Simulated Dynamics | cs.GR | We present a novel volumetric animation generation framework to create new
types of animations from raw 3D surface or point cloud sequence of captured
real performances. The framework considers as input time incoherent 3D
observations of a moving shape, and is thus particularly suitable for the
output of performance ca... | computer science |
39,365 | Learning to Remove Multipath Distortions in Time-of-Flight Range Images
for a Robotic Arm Setup | cs.CV | Range images captured by Time-of-Flight (ToF) cameras are corrupted with
multipath distortions due to interaction between modulated light signals and
scenes. The interaction is often complicated, which makes a model-based
solution elusive. We propose a learning-based approach for removing the
multipath distortions for ... | computer science |
39,366 | Group Invariant Deep Representations for Image Instance Retrieval | cs.CV | Most image instance retrieval pipelines are based on comparison of vectors
known as global image descriptors between a query image and the database
images. Due to their success in large scale image classification,
representations extracted from Convolutional Neural Networks (CNN) are quickly
gaining ground on Fisher Ve... | computer science |
39,367 | Joint Object-Material Category Segmentation from Audio-Visual Cues | cs.CV | It is not always possible to recognise objects and infer material properties
for a scene from visual cues alone, since objects can look visually similar
whilst being made of very different materials. In this paper, we therefore
present an approach that augments the available dense visual cues with sparse
auditory cues ... | computer science |
39,368 | Parallel Stroked Multi Line: a model-based method for compressing large
fingerprint databases | cs.CV | With increasing usage of fingerprints as an important biometric data, the
need to compress the large fingerprint databases has become essential. The most
recommended compression algorithm, even by standards, is JPEG2K. But at high
compression rates, this algorithm is ineffective. In this paper, a model is
proposed whic... | computer science |
39,369 | 3D Gaze Estimation from 2D Pupil Positions on Monocular Head-Mounted Eye
Trackers | cs.HC | 3D gaze information is important for scene-centric attention analysis but
accurate estimation and analysis of 3D gaze in real-world environments remains
challenging. We present a novel 3D gaze estimation method for monocular
head-mounted eye trackers. In contrast to previous work, our method does not
aim to infer 3D ey... | computer science |
39,370 | Learning Subclass Representations for Visually-varied Image
Classification | cs.MM | In this paper, we present a subclass-representation approach that predicts
the probability of a social image belonging to one particular class. We explore
the co-occurrence of user-contributed tags to find subclasses with a strong
connection to the top level class. We then project each image on to the
resulting subclas... | computer science |
39,371 | Deep Neural Networks predict Hierarchical Spatio-temporal Cortical
Dynamics of Human Visual Object Recognition | cs.CV | The complex multi-stage architecture of cortical visual pathways provides the
neural basis for efficient visual object recognition in humans. However, the
stage-wise computations therein remain poorly understood. Here, we compared
temporal (magnetoencephalography) and spatial (functional MRI) visual brain
representatio... | computer science |
39,372 | Digital Image Forensics vs. Image Composition: An Indirect Arms Race | cs.CV | The field of image composition is constantly trying to improve the ways in
which an image can be altered and enhanced. While this is usually done in the
name of aesthetics and practicality, it also provides tools that can be used to
maliciously alter images. In this sense, the field of digital image forensics
has to be... | computer science |
39,373 | Adaptive Image Denoising by Mixture Adaptation | cs.CV | We propose an adaptive learning procedure to learn patch-based image priors
for image denoising. The new algorithm, called the Expectation-Maximization
(EM) adaptation, takes a generic prior learned from a generic external database
and adapts it to the noisy image to generate a specific prior. Different from
existing m... | computer science |
39,374 | Generalized optimal sub-pattern assignment metric | cs.SY | This paper presents the generalized optimal sub-pattern assignment (GOSPA)
metric on the space of finite sets of targets. Compared to the well-established
optimal sub-pattern assignment (OSPA) metric, GOSPA is unnormalized as a
function of the cardinality and it penalizes cardinality errors differently,
which enables u... | computer science |
39,375 | B-spline Shape from Motion & Shading: An Automatic Free-form Surface
Modeling for Face Reconstruction | cs.CV | Recently, many methods have been proposed for face reconstruction from
multiple images, most of which involve fundamental principles of Shape from
Shading and Structure from motion. However, a majority of the methods just
generate discrete surface model of face. In this paper, B-spline Shape from
Motion and Shading (Bs... | computer science |
39,376 | Geometric-Algebra LMS Adaptive Filter and its Application to Rotation
Estimation | cs.CV | This paper exploits Geometric (Clifford) Algebra (GA) theory in order to
devise and introduce a new adaptive filtering strategy. From a least-squares
cost function, the gradient is calculated following results from Geometric
Calculus (GC), the extension of GA to handle differential and integral
calculus. The novel GA l... | computer science |
39,377 | Egocentric Activity Recognition with Multimodal Fisher Vector | cs.MM | With the increasing availability of wearable devices, research on egocentric
activity recognition has received much attention recently. In this paper, we
build a Multimodal Egocentric Activity dataset which includes egocentric videos
and sensor data of 20 fine-grained and diverse activity categories. We present
a novel... | computer science |
39,378 | Virtual Rephotography: Novel View Prediction Error for 3D Reconstruction | cs.CV | The ultimate goal of many image-based modeling systems is to render
photo-realistic novel views of a scene without visible artifacts. Existing
evaluation metrics and benchmarks focus mainly on the geometric accuracy of the
reconstructed model, which is, however, a poor predictor of visual accuracy.
Furthermore, using o... | computer science |
39,379 | Fast Integral Image Estimation at 1% measurement rate | cs.CV | We propose a framework called ReFInE to directly obtain integral image
estimates from a very small number of spatially multiplexed measurements of the
scene without iterative reconstruction of any auxiliary image, and demonstrate
their practical utility in visual object tracking. Specifically, we design
measurement mat... | computer science |
39,380 | Osteoporotic and Neoplastic Compression Fracture Classification on
Longitudinal CT | cs.CV | Classification of vertebral compression fractures (VCF) having osteoporotic
or neoplastic origin is fundamental to the planning of treatment. We developed
a fracture classification system by acquiring quantitative morphologic and bone
density determinants of fracture progression through the use of automated
measurement... | computer science |
39,381 | Geo-distinctive Visual Element Matching for Location Estimation of
Images | cs.MM | We propose an image representation and matching approach that substantially
improves visual-based location estimation for images. The main novelty of the
approach, called distinctive visual element matching (DVEM), is its use of
representations that are specific to the query image whose location is being
predicted. The... | computer science |
39,382 | Spectrally Grouped Total Variation Reconstruction for Scatter Imaging
Using ADMM | math.NA | We consider X-ray coherent scatter imaging, where the goal is to reconstruct
momentum transfer profiles (spectral distributions) at each spatial location
from multiplexed measurements of scatter. Each material is characterized by a
unique momentum transfer profile (MTP) which can be used to discriminate
between differe... | computer science |
39,383 | What Can I Do Around Here? Deep Functional Scene Understanding for
Cognitive Robots | cs.RO | For robots that have the capability to interact with the physical environment
through their end effectors, understanding the surrounding scenes is not merely
a task of image classification or object recognition. To perform actual tasks,
it is critical for the robot to have a functional understanding of the visual
scene... | computer science |
39,384 | Novel Views of Objects from a Single Image | cs.CV | Taking an image of an object is at its core a lossy process. The rich
information about the three-dimensional structure of the world is flattened to
an image plane and decisions such as viewpoint and camera parameters are final
and not easily revertible. As a consequence, possibilities of changing
viewpoint are limited... | computer science |
39,385 | Mental State Recognition via Wearable EEG | cs.CV | The increasing quality and affordability of consumer electroencephalogram
(EEG) headsets make them attractive for situations where medical grade devices
are impractical. Predicting and tracking cognitive states is possible for tasks
that were previously not conducive to EEG monitoring. For instance, monitoring
operator... | computer science |
39,386 | Development of an Ideal Observer that Incorporates Nuisance Parameters
and Processes List-Mode Data | cs.CV | Observer models were developed to process data in list-mode format in order
to perform binary discrimination tasks for use in an arms-control-treaty
context. Data used in this study was generated using GEANT4 Monte Carlo
simulations for photons using custom models of plutonium inspection objects and
a radiation imaging... | computer science |
39,387 | EIE: Efficient Inference Engine on Compressed Deep Neural Network | cs.CV | State-of-the-art deep neural networks (DNNs) have hundreds of millions of
connections and are both computationally and memory intensive, making them
difficult to deploy on embedded systems with limited hardware resources and
power budgets. While custom hardware helps the computation, fetching weights
from DRAM is two o... | computer science |
39,388 | Appearance Based Robot and Human Activity Recognition System | cs.RO | In this work, we present an appearance based human activity recognition
system. It uses background modeling to segment the foreground object and
extracts useful discriminative features for representing activities performed
by humans and robots. Subspace based method like principal component analysis
is used to extract ... | computer science |
39,389 | Search Tracker: Human-derived object tracking in-the-wild through
large-scale search and retrieval | cs.CV | Humans use context and scene knowledge to easily localize moving objects in
conditions of complex illumination changes, scene clutter and occlusions. In
this paper, we present a method to leverage human knowledge in the form of
annotated video libraries in a novel search and retrieval based setting to
track objects in ... | computer science |
39,390 | Efficient Multi-view Performance Capture of Fine-Scale Surface Detail | cs.CV | We present a new effective way for performance capture of deforming meshes
with fine-scale time-varying surface detail from multi-view video. Our method
builds up on coarse 4D surface reconstructions, as obtained with commonly used
template-based methods. As they only capture models of coarse-to-medium scale
detail, fi... | computer science |
39,391 | A Large Dataset of Object Scans | cs.CV | We have created a dataset of more than ten thousand 3D scans of real objects.
To create the dataset, we recruited 70 operators, equipped them with
consumer-grade mobile 3D scanning setups, and paid them to scan objects in
their environments. The operators scanned objects of their choosing, outside
the laboratory and wi... | computer science |
39,392 | Automatic Face Reenactment | cs.CV | We propose an image-based, facial reenactment system that replaces the face
of an actor in an existing target video with the face of a user from a source
video, while preserving the original target performance. Our system is fully
automatic and does not require a database of source expressions. Instead, it is
able to p... | computer science |
39,393 | Segmental Spatiotemporal CNNs for Fine-grained Action Segmentation | cs.CV | Joint segmentation and classification of fine-grained actions is important
for applications of human-robot interaction, video surveillance, and human
skill evaluation. However, despite substantial recent progress in large-scale
action classification, the performance of state-of-the-art fine-grained action
recognition a... | computer science |
39,394 | Image encryption with dynamic chaotic Look-Up Table | cs.CR | In this paper we propose a novel image encryption scheme. The proposed method
is based on the chaos theory. Our cryptosystem uses the chaos theory to define
a dynamic chaotic Look-Up Table (LUT) to compute the new value of the current
pixel to cipher. Applying this process on each pixel of the plain image, we
generate ... | computer science |
39,395 | Design of false color palettes for grayscale reproduction | cs.GR | Design of false color palette is quite easy but some effort has to be done to
achieve good dynamic range, contrast and overall appearance of the palette.
Such palettes, for instance, are commonly used in scientific papers for
presenting the data. However, to lower the cost of the paper most scientists
decide to let the... | computer science |
39,396 | HMM and DTW for evaluation of therapeutical gestures using kinect | cs.HC | Automatic recognition of the quality of movement in human beings is a
challenging task, given the difficulty both in defining the constraints that
make a movement correct, and the difficulty in using noisy data to determine if
these constraints were satisfied. This paper presents a method for the
detection of deviation... | computer science |
39,397 | Embracing Error to Enable Rapid Crowdsourcing | cs.HC | Microtask crowdsourcing has enabled dataset advances in social science and
machine learning, but existing crowdsourcing schemes are too expensive to scale
up with the expanding volume of data. To scale and widen the applicability of
crowdsourcing, we present a technique that produces extremely rapid judgments
for binar... | computer science |
39,398 | Fast, Robust, Continuous Monocular Egomotion Computation | cs.CV | We propose robust methods for estimating camera egomotion in noisy,
real-world monocular image sequences in the general case of unknown observer
rotation and translation with two views and a small baseline. This is a
difficult problem because of the nonconvex cost function of the perspective
camera motion equation and ... | computer science |
39,399 | Optimizing Gaze Direction in a Visual Navigation Task | cs.RO | Navigation in an unknown environment consists of multiple separable subtasks,
such as collecting information about the surroundings and navigating to the
current goal. In the case of pure visual navigation, all these subtasks need to
utilize the same vision system, and therefore a way to optimally control the
direction... | computer science |
39,400 | 2D SEM images turn into 3D object models | cs.CV | The scanning electron microscopy (SEM) is probably one the most fascinating
examination approach that has been used since more than two decades to detailed
inspection of micro scale objects. Most of the scanning electron microscopes
could only produce 2D images that could not assist operational analysis of
microscopic ... | computer science |
39,401 | Image Restoration: A General Wavelet Frame Based Model and Its
Asymptotic Analysis | math.FA | Image restoration is one of the most important areas in imaging science.
Mathematical tools have been widely used in image restoration, where wavelet
frame based approach is one of the successful examples. In this paper, we
introduce a generic wavelet frame based image restoration model, called the
"general model", whi... | computer science |
39,402 | Plücker Correction Problem: Analysis and Improvements in Efficiency | cs.CV | A given six dimensional vector represents a 3D straight line in Plucker
coordinates if its coordinates satisfy the Klein quadric constraint. In many
problems aiming to find the Plucker coordinates of lines, noise in the data
and other type of errors contribute for obtaining 6D vectors that do not
correspond to lines,... | computer science |
39,403 | Depth-Based Object Tracking Using a Robust Gaussian Filter | cs.RO | We consider the problem of model-based 3D-tracking of objects given dense
depth images as input. Two difficulties preclude the application of a standard
Gaussian filter to this problem. First of all, depth sensors are characterized
by fat-tailed measurement noise. To address this issue, we show how a recently
published... | computer science |
39,404 | Creating Simplified 3D Models with High Quality Textures | cs.GR | This paper presents an extension to the KinectFusion algorithm which allows
creating simplified 3D models with high quality RGB textures. This is achieved
through (i) creating model textures using images from an HD RGB camera that is
calibrated with Kinect depth camera, (ii) using a modified scheme to update
model text... | computer science |
39,405 | Learning Shapes by Convex Composition | cs.CV | We present a mathematical and algorithmic scheme for learning the principal
geometric elements in an image or 3D object. We build on recent work that
convexifies the basic problem of finding a combination of a small number shapes
that overlap and occlude one another in such a way that they "match" a given
scene as clos... | computer science |
39,406 | Adaptive Frequency Cepstral Coefficients for Word Mispronunciation
Detection | cs.SD | Systems based on automatic speech recognition (ASR) technology can provide
important functionality in computer assisted language learning applications.
This is a young but growing area of research motivated by the large number of
students studying foreign languages. Here we propose a Hidden Markov Model
(HMM)-based met... | computer science |
39,407 | Autonomous navigation for low-altitude UAVs in urban areas | cs.RO | In recent years, consumer Unmanned Aerial Vehicles have become very popular,
everyone can buy and fly a drone without previous experience, which raises
concern in regards to regulations and public safety. In this paper, we present
a novel approach towards enabling safe operation of such vehicles in urban
areas. Our met... | computer science |
39,408 | Graph clustering, variational image segmentation methods and Hough
transform scale detection for object measurement in images | math.AP | We consider the problem of scale detection in images where a region of
interest is present together with a measurement tool (e.g. a ruler). For the
segmentation part, we focus on the graph based method by Flenner and Bertozzi
which reinterprets classical continuous Ginzburg-Landau minimisation models in
a totally discr... | computer science |
39,409 | Content-based Video Indexing and Retrieval Using Corr-LDA | cs.IR | Existing video indexing and retrieval methods on popular web-based multimedia
sharing websites are based on user-provided sparse tagging. This paper proposes
a very specific way of searching for video clips, based on the content of the
video. We present our work on Content-based Video Indexing and Retrieval using
the C... | computer science |
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