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39,710 | Lensless Photography with only an image sensor | cs.CV | Photography usually requires optics in conjunction with a recording device
(an image sensor). Eliminating the optics could lead to new form factors for
cameras. Here, we report a simple demonstration of imaging using a bare CMOS
sensor that utilizes computation. The technique relies on the space variant
point-spread fu... | computer science |
39,711 | RenderMap: Exploiting the Link Between Perception and Rendering for
Dense Mapping | cs.CV | We introduce an approach for the real-time (2Hz) creation of a dense map and
alignment of a moving robotic agent within that map by rendering using a
Graphics Processing Unit (GPU). This is done by recasting the scan alignment
part of the dense mapping process as a rendering task. Alignment errors are
computed from ren... | computer science |
39,712 | Continuous-Time Visual-Inertial Trajectory Estimation with Event Cameras | cs.RO | In contrast to traditional cameras, which output images at a fixed rate,
event cameras have independent pixels that output asynchronous pixel-level
brightness changes with microsecond resolution. In this paper, we leverage a
continuous-time framework to perform trajectory estimation by fusing visual
data from a moving ... | computer science |
39,713 | WaterGAN: Unsupervised Generative Network to Enable Real-time Color
Correction of Monocular Underwater Images | cs.CV | This paper reports on WaterGAN, a generative adversarial network (GAN) for
generating realistic underwater images from in-air image and depth pairings in
an unsupervised pipeline used for color correction of monocular underwater
images. Cameras onboard autonomous and remotely operated vehicles can capture
high resoluti... | computer science |
39,714 | Building Usage Profiles Using Deep Neural Nets | cs.SE | To improve software quality, one needs to build test scenarios resembling the
usage of a software product in the field. This task is rendered challenging
when a product's customer base is large and diverse. In this scenario, existing
profiling approaches, such as operational profiling, are difficult to apply. In
this w... | computer science |
39,715 | Simultaneous Feature and Body-Part Learning for Real-Time Robot
Awareness of Human Behaviors | cs.CV | Robot awareness of human actions is an essential research problem in robotics
with many important real-world applications, including human-robot
collaboration and teaming. Over the past few years, depth sensors have become a
standard device widely used by intelligent robots for 3D perception, which can
also offer human... | computer science |
39,716 | Fast and robust curve skeletonization for real-world elongated objects | cs.CV | We consider the problem of extracting curve skeletons of three-dimensional,
elongated objects given a noisy surface, which has applications in agricultural
contexts such as extracting the branching structure of plants. We describe an
efficient and robust method based on breadth-first search that can determine
curve ske... | computer science |
39,717 | Synthesizing Training Data for Object Detection in Indoor Scenes | cs.CV | Detection of objects in cluttered indoor environments is one of the key
enabling functionalities for service robots. The best performing object
detection approaches in computer vision exploit deep Convolutional Neural
Networks (CNN) to simultaneously detect and categorize the objects of interest
in cluttered scenes. Tr... | computer science |
39,718 | Learning Deep NBNN Representations for Robust Place Categorization | cs.RO | This paper presents an approach for semantic place categorization using data
obtained from RGB cameras. Previous studies on visual place recognition and
classification have shown that, by considering features derived from
pre-trained Convolutional Neural Networks (CNNs) in combination with part-based
classification mod... | computer science |
39,719 | BARCHAN: Blob Alignment for Robust CHromatographic ANalysis | cs.CV | Comprehensive Two dimensional gas chromatography (GCxGC) plays a central role
into the elucidation of complex samples. The automation of the identification
of peak areas is of prime interest to obtain a fast and repeatable analysis of
chromatograms. To determine the concentration of compounds or pseudo-compounds,
templ... | computer science |
39,720 | Analyzing Modular CNN Architectures for Joint Depth Prediction and
Semantic Segmentation | cs.CV | This paper addresses the task of designing a modular neural network
architecture that jointly solves different tasks. As an example we use the
tasks of depth estimation and semantic segmentation given a single RGB image.
The main focus of this work is to analyze the cross-modality influence between
depth and semantic p... | computer science |
39,721 | Lensless computational imaging through deep learning | cs.CV | Deep learning has been proven to yield reliably generalizable answers to
numerous classification and decision tasks. Here, we demonstrate for the first
time, to our knowledge, that deep neural networks (DNNs) can be trained to
solve inverse problems in computational imaging. We experimentally demonstrate
a lens-less im... | computer science |
39,722 | An Optimization Framework with Flexible Inexact Inner Iterations for
Nonconvex and Nonsmooth Programming | cs.CV | In recent years, numerous vision and learning tasks have been (re)formulated
as nonconvex and nonsmooth programmings(NNPs). Although some algorithms have
been proposed for particular problems, designing fast and flexible optimization
schemes with theoretical guarantee is a challenging task for general NNPs. It
has been... | computer science |
39,723 | Inertial Odometry on Handheld Smartphones | cs.CV | Building a complete inertial navigation system using the limited quality data
provided by current smartphones has been regarded challenging, if not
impossible. We present a probabilistic approach for orientation and use-case
free inertial odometry, which is based on double-integrating rotated
accelerations. Our approac... | computer science |
39,724 | A Simple, Fast and Fully Automated Approach for Midline Shift
Measurement on Brain Computed Tomography | cs.CV | Brain CT has become a standard imaging tool for emergent evaluation of brain
condition, and measurement of midline shift (MLS) is one of the most important
features to address for brain CT assessment. We present a simple method to
estimate MLS and propose a new alternative parameter to MLS: the ratio of MLS
over the ma... | computer science |
39,725 | Depth Estimation using Modified Cost Function for Occlusion Handling | cs.MM | The paper presents a novel approach to occlusion handling problem in depth
estimation using three views. A solution based on modification of similarity
cost function is proposed. During the depth estimation via optimization
algorithms like Graph Cut similarity metric is constantly updated so that only
non-occluded frag... | computer science |
39,726 | A Survey on Content-Aware Video Analysis for Sports | cs.CV | Sports data analysis is becoming increasingly large-scale, diversified, and
shared, but difficulty persists in rapidly accessing the most crucial
information. Previous surveys have focused on the methodologies of sports video
analysis from the spatiotemporal viewpoint instead of a content-based
viewpoint, and few of th... | computer science |
39,727 | Perceiving and Reasoning About Liquids Using Fully Convolutional
Networks | cs.RO | Liquids are an important part of many common manipulation tasks in human
environments. If we wish to have robots that can accomplish these types of
tasks, they must be able to interact with liquids in an intelligent manner. In
this paper, we investigate ways for robots to perceive and reason about
liquids. That is, a r... | computer science |
39,728 | Reasoning About Liquids via Closed-Loop Simulation | cs.RO | Simulators are powerful tools for reasoning about a robot's interactions with
its environment. However, when simulations diverge from reality, that reasoning
becomes less useful. In this paper, we show how to close the loop between
liquid simulation and real-time perception. We use observations of liquids to
correct er... | computer science |
39,729 | SegICP: Integrated Deep Semantic Segmentation and Pose Estimation | cs.RO | Recent robotic manipulation competitions have highlighted that sophisticated
robots still struggle to achieve fast and reliable perception of task-relevant
objects in complex, realistic scenarios. To improve these systems' perceptive
speed and robustness, we present SegICP, a novel integrated solution to object
recogni... | computer science |
39,730 | Fast Back-Projection for Non-Line of Sight Reconstruction | cs.CV | Recent works have demonstrated non-line of sight (NLOS) reconstruction by
using the time-resolved signal frommultiply scattered light. These works
combine ultrafast imaging systems with computation, which back-projects the
recorded space-time signal to build a probabilistic map of the hidden geometry.
Unfortunately, th... | computer science |
39,731 | Non-line-of-sight tracking of people at long range | cs.CV | A remote-sensing system that can determine the position of hidden objects has
applications in many critical real-life scenarios, such as search and rescue
missions and safe autonomous driving. Previous work has shown the ability to
range and image objects hidden from the direct line of sight, employing
advanced optical... | computer science |
39,732 | NoScope: Optimizing Neural Network Queries over Video at Scale | cs.DB | Recent advances in computer vision-in the form of deep neural networks-have
made it possible to query increasing volumes of video data with high accuracy.
However, neural network inference is computationally expensive at scale:
applying a state-of-the-art object detector in real time (i.e., 30+ frames per
second) to a ... | computer science |
39,733 | DA-RNN: Semantic Mapping with Data Associated Recurrent Neural Networks | cs.CV | 3D scene understanding is important for robots to interact with the 3D world
in a meaningful way. Most previous works on 3D scene understanding focus on
recognizing geometrical or semantic properties of the scene independently. In
this work, we introduce Data Associated Recurrent Neural Networks (DA-RNNs), a
novel fram... | computer science |
39,734 | A Self-supervised Learning System for Object Detection using Physics
Simulation and Multi-view Pose Estimation | cs.RO | Progress has been achieved recently in object detection given advancements in
deep learning. Nevertheless, such tools typically require a large amount of
training data and significant manual effort to label objects. This limits their
applicability in robotics, where solutions must scale to a large number of
objects and... | computer science |
39,735 | Fast and Robust Detection of Fallen People from a Mobile Robot | cs.RO | This paper deals with the problem of detecting fallen people lying on the
floor by means of a mobile robot equipped with a 3D depth sensor. In the
proposed algorithm, inspired by semantic segmentation techniques, the 3D scene
is over-segmented into small patches. Fallen people are then detected by means
of two SVM clas... | computer science |
39,736 | Position Tracking for Virtual Reality Using Commodity WiFi | cs.CV | Today, experiencing virtual reality (VR) is a cumbersome experience which
either requires dedicated infrastructure like infrared cameras to track the
headset and hand-motion controllers (e.g., Oculus Rift, HTC Vive), or provides
only 3-DoF (Degrees of Freedom) tracking which severely limits the user
experience (e.g., S... | computer science |
39,737 | A 3D Object Detection and Pose Estimation Pipeline Using RGB-D Images | cs.RO | 3D object detection and pose estimation has been studied extensively in
recent decades for its potential applications in robotics. However, there still
remains challenges when we aim at detecting multiple objects while retaining
low false positive rate in cluttered environments. This paper proposes a robust
3D object d... | computer science |
39,738 | SurfNet: Generating 3D shape surfaces using deep residual networks | cs.CV | 3D shape models are naturally parameterized using vertices and faces, \ie,
composed of polygons forming a surface. However, current 3D learning paradigms
for predictive and generative tasks using convolutional neural networks focus
on a voxelized representation of the object. Lifting convolution operators from
the trad... | computer science |
39,739 | Poisson multi-Bernoulli mixture filter: direct derivation and
implementation | cs.CV | We provide a derivation of the Poisson multi-Bernoulli mixture (PMBM) filter
for multi-target tracking with the standard point target measurements without
using probability generating functionals or functional derivatives. We also
establish the connection with the \delta-generalised labelled multi-Bernoulli
(\delta-GLM... | computer science |
39,740 | Extrinsic Calibration of 3D Range Finder and Camera without Auxiliary
Object or Human Intervention | cs.CV | Fusion of heterogeneous extroceptive sensors is the most effient and
effective way to representing the environment precisely, as it overcomes
various defects of each homogeneous sensor. The rigid transformation (aka.
extrinsic parameters) of heterogeneous sensory systems should be available
before precisely fusing the ... | computer science |
39,741 | Users prefer Guetzli JPEG over same-sized libjpeg | cs.CV | We report on pairwise comparisons by human raters of JPEG images from libjpeg
and our new Guetzli encoder. Although both files are size-matched, 75% of
ratings are in favor of Guetzli. This implies the Butteraugli psychovisual
image similarity metric which guides Guetzli is reasonably close to human
perception at high ... | computer science |
39,742 | Guetzli: Perceptually Guided JPEG Encoder | cs.CV | Guetzli is a new JPEG encoder that aims to produce visually indistinguishable
images at a lower bit-rate than other common JPEG encoders. It optimizes both
the JPEG global quantization tables and the DCT coefficient values in each JPEG
block using a closed-loop optimizer. Guetzli uses Butteraugli, our perceptual
distan... | computer science |
39,743 | A Lagrangian Gauss-Newton-Krylov Solver for Mass- and
Intensity-Preserving Diffeomorphic Image Registration | cs.CV | We present an efficient solver for diffeomorphic image registration problems
in the framework of Large Deformations Diffeomorphic Metric Mappings (LDDMM).
We use an optimal control formulation, in which the velocity field of a
hyperbolic PDE needs to be found such that the distance between the final state
of the system... | computer science |
39,744 | Geometry-Based Region Proposals for Real-Time Robot Detection of
Tabletop Objects | cs.RO | We present a novel object detection pipeline for localization and recognition
in three dimensional environments. Our approach makes use of an RGB-D sensor
and combines state-of-the-art techniques from the robotics and computer vision
communities to create a robust, real-time detection system. We focus
specifically on s... | computer science |
39,745 | 6-DoF Object Pose from Semantic Keypoints | cs.CV | This paper presents a novel approach to estimating the continuous six degree
of freedom (6-DoF) pose (3D translation and rotation) of an object from a
single RGB image. The approach combines semantic keypoints predicted by a
convolutional network (convnet) with a deformable shape model. Unlike prior
work, we are agnost... | computer science |
39,746 | Real-time 3D Human Tracking for Mobile Robots with Multisensors | cs.RO | Acquiring the accurate 3-D position of a target person around a robot
provides fundamental and valuable information that is applicable to a wide
range of robotic tasks, including home service, navigation and entertainment.
This paper presents a real-time robotic 3-D human tracking system which
combines a monocular came... | computer science |
39,747 | End-to-end Binary Representation Learning via Direct Binary Embedding | cs.CV | Learning binary representation is essential to large-scale computer vision
tasks. Most existing algorithms require a separate quantization constraint to
learn effective hashing functions. In this work, we present Direct Binary
Embedding (DBE), a simple yet very effective algorithm to learn binary
representation in an e... | computer science |
39,748 | DeepVel: deep learning for the estimation of horizontal velocities at
the solar surface | cs.CV | Many phenomena taking place in the solar photosphere are controlled by plasma
motions. Although the line-of-sight component of the velocity can be estimated
using the Doppler effect, we do not have direct spectroscopic access to the
components that are perpendicular to the line-of-sight. These components are
typically ... | computer science |
39,749 | A clever elimination strategy for efficient minimal solvers | cs.CV | We present a new insight into the systematic generation of minimal solvers in
computer vision, which leads to smaller and faster solvers. Many minimal
problem formulations are coupled sets of linear and polynomial equations where
image measurements enter the linear equations only. We show that it is useful
to solve suc... | computer science |
39,750 | 3D Vision Guided Robotic Charging Station for Electric and Plug-in
Hybrid Vehicles | cs.RO | Electric vehicles (EVs) and plug-in hybrid vehicles (PHEVs) are rapidly
gaining popularity on our roads. Besides a comparatively high purchasing price,
the main two problems limiting their use are the short driving range and
inconvenient charging process. In this paper we address the following by
presenting an automati... | computer science |
39,751 | Refining Image Categorization by Exploiting Web Images and General
Corpus | cs.MM | Studies show that refining real-world categories into semantic subcategories
contributes to better image modeling and classification. Previous image
sub-categorization work relying on labeled images and WordNet's hierarchy is
not only labor-intensive, but also restricted to classify images into NOUN
subcategories. To t... | computer science |
39,752 | Cloud Radiative Effect Study Using Sky Camera | cs.CV | The analysis of clouds in the earth's atmosphere is important for a variety
of applications, viz. weather reporting, climate forecasting, and solar energy
generation. In this paper, we focus our attention on the impact of cloud on the
total solar irradiance reaching the earth's surface. We use weather station to
record... | computer science |
39,753 | Color Orchestra: Ordering Color Palettes for Interpolation and
Prediction | cs.CV | Color theme or color palette can deeply influence the quality and the feeling
of a photograph or a graphical design. Although color palettes may come from
different sources such as online crowd-sourcing, photographs and graphical
designs, in this paper, we consider color palettes extracted from fine art
collections, wh... | computer science |
39,754 | PSF field learning based on Optimal Transport Distances | cs.CV | Context: in astronomy, observing large fractions of the sky within a
reasonable amount of time implies using large field-of-view (fov) optical
instruments that typically have a spatially varying Point Spread Function
(PSF). Depending on the scientific goals, galaxies images need to be corrected
for the PSF whereas no d... | computer science |
39,755 | Recent Advances in Features Extraction and Description Algorithms: A
Comprehensive Survey | cs.CV | Computer vision is one of the most active research fields in information
technology today. Giving machines and robots the ability to see and comprehend
the surrounding world at the speed of sight creates endless potential
applications and opportunities. Feature detection and description algorithms
can be indeed conside... | computer science |
39,756 | Direct Monocular Odometry Using Points and Lines | cs.CV | Most visual odometry algorithm for a monocular camera focuses on points,
either by feature matching, or direct alignment of pixel intensity, while
ignoring a common but important geometry entity: edges. In this paper, we
propose an odometry algorithm that combines points and edges to benefit from
the advantages of both... | computer science |
39,757 | On the Interplay between Strong Regularity and Graph Densification | cs.DS | In this paper we analyze the practical implications of Szemer\'edi's
regularity lemma in the preservation of metric information contained in large
graphs. To this end, we present a heuristic algorithm to find regular
partitions. Our experiments show that this method is quite robust to the
natural sparsification of prox... | computer science |
39,758 | Pop-up SLAM: Semantic Monocular Plane SLAM for Low-texture Environments | cs.CV | Existing simultaneous localization and mapping (SLAM) algorithms are not
robust in challenging low-texture environments because there are only few
salient features. The resulting sparse or semi-dense map also conveys little
information for motion planning. Though some work utilize plane or scene layout
for dense map re... | computer science |
39,759 | Nonlinear Spectral Image Fusion | cs.CV | In this paper we demonstrate that the framework of nonlinear spectral
decompositions based on total variation (TV) regularization is very well suited
for image fusion as well as more general image manipulation tasks. The
well-localized and edge-preserving spectral TV decomposition allows to select
frequencies of a cert... | computer science |
39,760 | Sparse Inertial Poser: Automatic 3D Human Pose Estimation from Sparse
IMUs | cs.CV | We address the problem of making human motion capture in the wild more
practical by using a small set of inertial sensors attached to the body. Since
the problem is heavily under-constrained, previous methods either use a large
number of sensors, which is intrusive, or they require additional video input.
We take a dif... | computer science |
39,761 | A Dynamic Programming Solution to Bounded Dejittering Problems | math.OC | We propose a dynamic programming solution to image dejittering problems with
bounded displacements and obtain efficient algorithms for the removal of line
jitter, line pixel jitter, and pixel jitter. | computer science |
39,762 | Locality preserving projection on SPD matrix Lie group: algorithm and
analysis | cs.CV | Symmetric positive definite (SPD) matrices used as feature descriptors in
image recognition are usually high dimensional. Traditional manifold learning
is only applicable for reducing the dimension of high-dimensional vector-form
data. For high-dimensional SPD matrices, directly using manifold learning
algorithms to re... | computer science |
39,763 | Important New Developments in Arabographic Optical Character Recognition
(OCR) | cs.CV | The OpenITI team has achieved Optical Character Recognition (OCR) accuracy
rates for classical Arabic-script texts in the high nineties. These numbers are
based on our tests of seven different Arabic-script texts of varying quality
and typefaces, totaling over 7,000 lines. These accuracy rates not only
represent a dist... | computer science |
39,764 | Feature Analysis and Selection for Training an End-to-End Autonomous
Vehicle Controller Using the Deep Learning Approach | cs.CV | Deep learning-based approaches have been widely used for training controllers
for autonomous vehicles due to their powerful ability to approximate nonlinear
functions or policies. However, the training process usually requires large
labeled data sets and takes a lot of time. In this paper, we analyze the
influences of ... | computer science |
39,765 | Image Restoration using Autoencoding Priors | cs.CV | We propose to leverage denoising autoencoder networks as priors to address
image restoration problems. We build on the key observation that the output of
an optimal denoising autoencoder is a local mean of the true data density, and
the autoencoder error (the difference between the output and input of the
trained autoe... | computer science |
39,766 | Object categorization in finer levels requires higher spatial
frequencies, and therefore takes longer | cs.CV | The human visual system contains a hierarchical sequence of modules that take
part in visual perception at different levels of abstraction, i.e.,
superordinate, basic, and subordinate levels. One important question is to
identify the "entry" level at which the visual representation is commenced in
the process of object... | computer science |
39,767 | A Paradigm Shift: Detecting Human Rights Violations Through Web Images | cs.CV | The growing presence of devices carrying digital cameras, such as mobile
phones and tablets, combined with ever improving internet networks have enabled
ordinary citizens, victims of human rights abuse, and participants in armed
conflicts, protests, and disaster situations to capture and share via social
media networks... | computer science |
39,768 | Restoration of Images with Wavefront Aberrations | cs.CV | This contribution deals with image restoration in optical systems with
coherent illumination, which is an important topic in astronomy, coherent
microscopy and radar imaging. Such optical systems suffer from wavefront
distortions, which are caused by imperfect imaging components and conditions.
Known image restoration ... | computer science |
39,769 | Online deforestation detection | stat.AP | Deforestation detection using satellite images can make an important
contribution to forest management. Current approaches can be broadly divided
into those that compare two images taken at similar periods of the year and
those that monitor changes by using multiple images taken during the growing
season. The CMFDA alg... | computer science |
39,770 | A Branch-and-Bound Algorithm for Checkerboard Extraction in Camera-Laser
Calibration | cs.RO | We address the problem of camera-to-laser-scanner calibration using a
checkerboard and multiple image-laser scan pairs. Distinguishing which laser
points measure the checkerboard and which lie on the background is essential to
any such system. We formulate the checkerboard extraction as a combinatorial
optimization pro... | computer science |
39,771 | sWSI: A Low-cost and Commercial-quality Whole Slide Imaging System on
Android and iOS Smartphones | cs.CV | In this paper, scalable Whole Slide Imaging (sWSI), a novel high-throughput,
cost-effective and robust whole slide imaging system on both Android and iOS
platforms is introduced and analyzed. With sWSI, most mainstream smartphone
connected to a optical eyepiece of any manually controlled microscope can be
automatically... | computer science |
39,772 | A Unified Multi-Faceted Video Summarization System | cs.CV | This paper addresses automatic summarization and search in visual data
comprising of videos, live streams and image collections in a unified manner.
In particular, we propose a framework for multi-faceted summarization which
extracts key-frames (image summaries), skims (video summaries) and entity
summaries (summarizat... | computer science |
39,773 | Enhance Feature Discrimination for Unsupervised Hashing | cs.CV | We introduce a novel approach to improve unsupervised hashing. Specifically,
we propose a very efficient embedding method: Gaussian Mixture Model embedding
(Gemb). The proposed method, using Gaussian Mixture Model, embeds feature
vector into a low-dimensional vector and, simultaneously, enhances the
discriminative prop... | computer science |
39,774 | Privacy-Preserving Visual Learning Using Doubly Permuted Homomorphic
Encryption | cs.CV | We propose a privacy-preserving framework for learning visual classifiers by
leveraging distributed private image data. This framework is designed to
aggregate multiple classifiers updated locally using private data and to ensure
that no private information about the data is exposed during and after its
learning proced... | computer science |
39,775 | Quaternion Based Camera Pose Estimation From Matched Feature Points | cs.CV | We present a novel solution to the camera pose estimation problem, where
rotation and translation of a camera between two views are estimated from
matched feature points in the images. The camera pose estimation problem is
traditionally solved via algorithms that are based on the essential matrix or
the Euclidean homog... | computer science |
39,776 | Reconstruction of~3-D Rigid Smooth Curves Moving Free when Two Traceable
Points Only are Available | cs.CV | This paper extends previous research in that sense that for orthogonal
projections of rigid smooth (true-3D) curves moving totally free it reduces the
number of required traceable points to two only (the best results known so far
to the author are 3 points from free motion and 2 for motion restricted to
rotation around... | computer science |
39,777 | Solving the L1 regularized least square problem via a box-constrained
smooth minimization | math.OC | In this paper, an equivalent smooth minimization for the L1 regularized least
square problem is proposed. The proposed problem is a convex box-constrained
smooth minimization which allows applying fast optimization methods to find its
solution. Further, it is investigated that the property "the dual of dual is
primal" ... | computer science |
39,778 | UC Merced Submission to the ActivityNet Challenge 2016 | cs.CV | This notebook paper describes our system for the untrimmed classification
task in the ActivityNet challenge 2016. We investigate multiple
state-of-the-art approaches for action recognition in long, untrimmed videos.
We exploit hand-crafted motion boundary histogram features as well feature
activations from deep network... | computer science |
39,779 | Toward a new approach for massive LiDAR data processing | cs.DC | Laser scanning (also known as Light Detection And Ranging) has been widely
applied in various application. As part of that, aerial laser scanning (ALS)
has been used to collect topographic data points for a large area, which
triggers to million points to be acquired. Furthermore, today, with integrating
full wareform (... | computer science |
39,780 | Feature Selection Parallel Technique for Remotely Sensed Imagery
Classification | cs.DC | Remote sensing research focusing on feature selection has long attracted the
attention of the remote sensing community because feature selection is a
prerequisite for image processing and various applications. Different feature
selection methods have been proposed to improve the classification accuracy.
They vary from ... | computer science |
39,781 | Unsupervised part learning for visual recognition | cs.CV | Part-based image classification aims at representing categories by small sets
of learned discriminative parts, upon which an image representation is built.
Considered as a promising avenue a decade ago, this direction has been
neglected since the advent of deep neural networks. In this context, this paper
brings two co... | computer science |
39,782 | Applying High-Resolution Visible Imagery to Satellite Melt Pond Fraction
Retrieval: A Neural Network Approach | cs.CV | During summer, melt ponds have a significant influence on Arctic sea-ice
albedo. The melt pond fraction (MPF) also has the ability to forecast the
Arctic sea-ice in a certain period. It is important to retrieve accurate melt
pond fraction (MPF) from satellite data for Arctic research. This paper
proposes a satellite MP... | computer science |
39,783 | Parallel Multi Channel Convolution using General Matrix Multiplication | cs.CV | Convolutional neural networks (CNNs) have emerged as one of the most
successful machine learning technologies for image and video processing. The
most computationally intensive parts of CNNs are the convolutional layers,
which convolve multi-channel images with multiple kernels. A common approach to
implementing convol... | computer science |
39,784 | 3D seismic data denoising using two-dimensional sparse coding scheme | cs.CV | Seismic data denoising is vital to geophysical applications and the
transform-based function method is one of the most widely used techniques.
However, it is challenging to design a suit- able sparse representation to
express a transform-based func- tion group due to the complexity of seismic
data. In this paper, we ap... | computer science |
39,785 | A learning-based approach for automatic image and video colorization | cs.GR | In this paper, we present a color transfer algorithm to colorize a broad
range of gray images without any user intervention. The algorithm uses a
machine learning-based approach to automatically colorize grayscale images. The
algorithm uses the superpixel representation of the reference color images to
learn the relati... | computer science |
39,786 | CT Image Reconstruction in a Low Dimensional Manifold | cs.CV | Regularization methods are commonly used in X-ray CT image reconstruction.
Different regularization methods reflect the characterization of different
prior knowledge of images. In a recent work, a new regularization method called
a low-dimensional manifold model (LDMM) is investigated to characterize the
low-dimensiona... | computer science |
39,787 | Multi-View Image Generation from a Single-View | cs.CV | This paper addresses a challenging problem -- how to generate multi-view
cloth images from only a single view input. To generate realistic-looking
images with different views from the input, we propose a new image generation
model termed VariGANs that combines the strengths of the variational inference
and the Generati... | computer science |
39,788 | Interactive Outlining of Pancreatic Cancer Liver Metastases in
Ultrasound Images | cs.CV | Ultrasound (US) is the most commonly used liver imaging modality worldwide.
Due to its low cost, it is increasingly used in the follow-up of cancer
patients with metastases localized in the liver. In this contribution, we
present the results of an interactive segmentation approach for liver
metastases in US acquisition... | computer science |
39,789 | Computer Vision for Autonomous Vehicles: Problems, Datasets and
State-of-the-Art | cs.CV | Recent years have witnessed amazing progress in AI related fields such as
computer vision, machine learning and autonomous vehicles. As with any rapidly
growing field, however, it becomes increasingly difficult to stay up-to-date or
enter the field as a beginner. While several topic specific survey papers have
been wri... | computer science |
39,790 | Automatic Segmentation of the Left Ventricle in Cardiac CT Angiography
Using Convolutional Neural Network | cs.CV | Accurate delineation of the left ventricle (LV) is an important step in
evaluation of cardiac function. In this paper, we present an automatic method
for segmentation of the LV in cardiac CT angiography (CCTA) scans. Segmentation
is performed in two stages. First, a bounding box around the LV is detected
using a combin... | computer science |
39,791 | Derivation of the Asymptotic Eigenvalue Distribution for Causal 2D-AR
Models under Upscaling | cs.CR | This technical report describes the derivation of the asymptotic eigenvalue
distribution for causal 2D-AR models under an upscaling scenario. Specifically,
it tackles the analytical derivation of the asymptotic eigenvalue distribution
of the sample autocorrelation matrix corresponding to genuine and upscaled
images. It... | computer science |
39,792 | SkiMap: An Efficient Mapping Framework for Robot Navigation | cs.CV | We present a novel mapping framework for robot navigation which features a
multi-level querying system capable to obtain rapidly representations as
diverse as a 3D voxel grid, a 2.5D height map and a 2D occupancy grid. These
are inherently embedded into a memory and time efficient core data structure
organized as a Tre... | computer science |
39,793 | SLAM with Objects using a Nonparametric Pose Graph | cs.CV | Mapping and self-localization in unknown environments are fundamental
capabilities in many robotic applications. These tasks typically involve the
identification of objects as unique features or landmarks, which requires the
objects both to be detected and then assigned a unique identifier that can be
maintained when v... | computer science |
39,794 | Time-Contrastive Networks: Self-Supervised Learning from Video | cs.CV | We propose a self-supervised approach for learning representations and
robotic behaviors entirely from unlabeled videos recorded from multiple
viewpoints, and study how this representation can be used in two robotic
imitation settings: imitating object interactions from videos of humans, and
imitating human poses. Imit... | computer science |
39,795 | Adaptive Cost Function for Pointcloud Registration | cs.RO | In this paper we introduce an adaptive cost function for pointcloud
registration. The algorithm automatically estimates the sensor noise, which is
important for generalization across different sensors and environments. Through
experiments on real and synthetic data, we show significant improvements in
accuracy and robu... | computer science |
39,796 | Saliency Benchmarking: Separating Models, Maps and Metrics | cs.CV | The field of fixation prediction is heavily model-driven, with dozens of new
models published every year. However, progress in the field can be difficult to
judge because models are compared using a variety of inconsistent metrics. As
soon as a saliency map is optimized for a certain metric, it is penalized by
other me... | computer science |
39,797 | Obstacle Avoidance through Deep Networks based Intermediate Perception | cs.RO | Obstacle avoidance from monocular images is a challenging problem for robots.
Though multi-view structure-from-motion could build 3D maps, it is not robust
in textureless environments. Some learning based methods exploit human
demonstration to predict a steering command directly from a single image.
However, this metho... | computer science |
39,798 | A new image compression by gradient Haar wavelet | cs.CV | With the development of human communications the usage of Visual
Communications has also increased. The advancement of image compression methods
is one of the main reasons for the enhancement. This paper first presents main
modes of image compression methods such as JPEG and JPEG2000 without
mathematical details. Also,... | computer science |
39,799 | Scalable Surface Reconstruction from Point Clouds with Extreme Scale and
Density Diversity | cs.CV | In this paper we present a scalable approach for robustly computing a 3D
surface mesh from multi-scale multi-view stereo point clouds that can handle
extreme jumps of point density (in our experiments three orders of magnitude).
The backbone of our approach is a combination of octree data partitioning,
local Delaunay t... | computer science |
39,800 | Out-of-focus: Learning Depth from Image Bokeh for Robotic Perception | cs.CV | In this project, we propose a novel approach for estimating depth from RGB
images. Traditionally, most work uses a single RGB image to estimate depth,
which is inherently difficult and generally results in poor performance, even
with thousands of data examples. In this work, we alternatively use multiple
RGB images tha... | computer science |
39,801 | Shading Annotations in the Wild | cs.CV | Understanding shading effects in images is critical for a variety of vision
and graphics problems, including intrinsic image decomposition, shadow removal,
image relighting, and inverse rendering. As is the case with other vision
tasks, machine learning is a promising approach to understanding shading - but
there is li... | computer science |
39,802 | VNect: Real-time 3D Human Pose Estimation with a Single RGB Camera | cs.CV | We present the first real-time method to capture the full global 3D skeletal
pose of a human in a stable, temporally consistent manner using a single RGB
camera. Our method combines a new convolutional neural network (CNN) based pose
regressor with kinematic skeleton fitting. Our novel fully-convolutional pose
formulat... | computer science |
39,803 | Streaming Algorithm for Euler Characteristic Curves of Multidimensional
Images | cs.CV | We present an efficient algorithm to compute Euler characteristic curves of
gray scale images of arbitrary dimension. In various applications the Euler
characteristic curve is used as a descriptor of an image.
Our algorithm is the first streaming algorithm for Euler characteristic
curves. The usage of streaming remov... | computer science |
39,804 | GRASS: Generative Recursive Autoencoders for Shape Structures | cs.GR | We introduce a novel neural network architecture for encoding and synthesis
of 3D shapes, particularly their structures. Our key insight is that 3D shapes
are effectively characterized by their hierarchical organization of parts,
which reflects fundamental intra-shape relationships such as adjacency and
symmetry. We de... | computer science |
39,805 | Phase Congruency Parameter Optimization for Enhanced Detection of Image
Features for both Natural and Medical Applications | math.OC | Following the presentation and proof of the hypothesis that image features
are particularly perceived at points where the Fourier components are maximally
in phase, the concept of phase congruency (PC) is introduced. Subsequently, a
two-dimensional multi-scale phase congruency (2D-MSPC) is developed, which has
been an ... | computer science |
39,806 | Keeping the Bad Guys Out: Protecting and Vaccinating Deep Learning with
JPEG Compression | cs.CV | Deep neural networks (DNNs) have achieved great success in solving a variety
of machine learning (ML) problems, especially in the domain of image
recognition. However, recent research showed that DNNs can be highly vulnerable
to adversarially generated instances, which look seemingly normal to human
observers, but comp... | computer science |
39,807 | Konzept für Bildanalysen in Hochdurchsatz-Systemen am Beispiel des
Zebrabärblings | cs.CV | With image-based high-throughput experiments, new challenges arise in both,
the design of experiments and the automated analysis. To be able to handle the
massive number of single experiments and the corresponding amount of data, a
comprehensive concept for the design of experiments and a new evaluation method
is neede... | computer science |
39,808 | Light Field Video Capture Using a Learning-Based Hybrid Imaging System | cs.CV | Light field cameras have many advantages over traditional cameras, as they
allow the user to change various camera settings after capture. However,
capturing light fields requires a huge bandwidth to record the data: a modern
light field camera can only take three images per second. This prevents current
consumer light... | computer science |
39,809 | Real-Time User-Guided Image Colorization with Learned Deep Priors | cs.CV | We propose a deep learning approach for user-guided image colorization. The
system directly maps a grayscale image, along with sparse, local user "hints"
to an output colorization with a Convolutional Neural Network (CNN). Rather
than using hand-defined rules, the network propagates user edits by fusing
low-level cues ... | computer science |
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