Results 61 to 70 of about 12,022 (190)
Demultiplexing Colored Images for Multispectral Photometric Stereo via Deep Neural Networks
IEEE Access, 2018 Recovering fine-scale surface shapes is a challenging task in computer vision. Multispectral photometric stereo is one of the popular methods as it can handle non-rigid/moving objects and produces per-pixel dense results.
Yakun Ju +4 more
doaj +1 more source
Direct Monocular Odometry Using Points and Lines
, 2017 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.
Scherer, Sebastian, Yang, Shichao
core +1 more source
Respiratory‐Limbic Coupling via a Thalamic Circuit Alleviates Anxiety
Advanced Science, EarlyView.This study delineates a conserved preBötCGlu→PVT→CeA circuit that gates anxiety and respiration. Activation of this circuit is anxiolytic and respiratory‐stabilizing, while its inhibition has the opposite effect. Mechanistically, PVT exerts its anxiolytic action via a disinhibitory microcircuit: its inputs preferentially target CeL GABAergic neurons ...
Shangyu Bi +15 more
wiley +1 more source
CONSERVATION MONITORING OF A HERITAGE CEILING BY PHOTOMETRIC STEREO [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 Photographic survey techniques were employed to monitor the condition of the paintwork on the ceiling of the Queen's Staircase at Hampton Court Palace. Illumination was provided by a flash, mounted on an 8 metre telescopic mast, raised to approximately ...
L. MacDonald, I. Gibb, S. Robson
doaj +1 more source
Photometric invariant stereo matching method
Optics Express, 2015 A robust stereo matching method based on a comprehensive mathematical model for color formation process is proposed to estimate the disparity map of stereo images with noise and photometric variations. The band-pass filter with DoP kernel is firstly used to filter out noise component of the stereo images. Then the log-chromaticity normalization process
Feifei, Gu +5 more
openaire +2 more sources
Advanced Intelligent Systems, EarlyView.Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee +7 more
wiley +1 more source
Photometric reconstruction of a dynamic textured surface from just one color image acquisition
, 2008 http://www.opticsinfobase.org/josaa/abstract.cfm?msid=85528 This article has been selected for inclusion in the Virtual Journal for Biomedical Optics (Vol. 3, Iss. 4)International audienceTextured surface analysis is essential for many applications.
Bringier, Benjamin +2 more
core +3 more sources
Photometric Stereo by Hemispherical Metric Embedding [PDF]
Journal of Mathematical Imaging and Vision, 2017 Photometric Stereo methods seek to reconstruct the 3d shape of an object from motionless images obtained with varying illumination. Most existing methods solve a restricted problem where the physical reflectance model, such as Lambertian reflectance, is known in advance. In contrast, we do not restrict ourselves to a specific reflectance model. Instead,
Ofer Bartal +3 more
openaire +3 more sources
TacEva: A Performance Evaluation Framework for Vision‐Based Tactile Sensors
Advanced Intelligent Systems, EarlyView.This work introduces TacEva, a unified framework for evaluating vision‐based tactile sensors. It standardizes intrinsic, performance, and robustness metrics through shared experimental procedures and links them to task‐level requirements in robotic manipulation.
Qingzheng Cong +5 more
wiley +1 more source
Stereo R-CNN based 3D Object Detection for Autonomous Driving
, 2019 We propose a 3D object detection method for autonomous driving by fully exploiting the sparse and dense, semantic and geometry information in stereo imagery. Our method, called Stereo R-CNN, extends Faster R-CNN for stereo inputs to simultaneously detect
Chen, Xiaozhi +2 more
core +1 more source