Results 81 to 90 of about 153,586 (291)
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
A multi-camera dataset for depth estimation in an indoor scenario
Time-of-Flight (ToF) sensors and stereo vision systems are two of the most diffused depth acquisition devices for commercial and industrial applications. They share complementary strengths and weaknesses. For this reason, the combination of data acquired
Giulio Marin +3 more
doaj +1 more source
Field-sequential stereo television [PDF]
System includes viewing devices that provide low interference to normal vision. It provides stereo display observable from broader area. Left and right video cameras are focused on object.
Perry, W. E.
core +1 more source
This study proposes a deep learning approach to evaluate the fatigue crack behavior in metals under overload conditions. Using digital image correlation to capture the strain near crack tips, convolutional neural networks classify crack states as normal, overload, or recovery, and accurately predict fatigue parameters.
Seon Du Choi +5 more
wiley +1 more source
This work presents a robot‐assisted Doppler optical coherence tomography system for autonomous, wide‐field intraoperative assessment of microvascular anastomoses. Machine‐vision–guided probe positioning and adaptive scan planning enable three‐dimensional structural and hemodynamic imaging over extended vessel segments.
Xiaochen Li +10 more
wiley +1 more source
Multiple human tracking using subtraction stereo and particle filter
This paper proposes a method for automatic tracking of multiple humans in various scenes using a stereo camera. Surveillance cameras are increasing these days for security.
Takehiro KAWASHITA +3 more
doaj +1 more source
Hybrid Focal Stereo Networks for Pattern Analysis in Homogeneous Scenes
In this paper we address the problem of multiple camera calibration in the presence of a homogeneous scene, and without the possibility of employing calibration object based methods.
A Wang +21 more
core +2 more sources
GraphNeuralCloth: A Graph‐Neural‐Network‐Based Framework for Non‐Skinning Cloth Simulation
This study presents a cloth motion capture system and a point‐cloud‐to‐mesh processing method to support the prediction of real‐world fabric deformation. GraphNeuralCloth, a graph neural‐network (GNN)‐based framework is also proposed to estimate the cloth morphology change in real time.
Yingqi Li +9 more
wiley +1 more source
A Self-Assessment Stereo Capture Model Applicable to the Internet of Things
The realization of the Internet of Things greatly depends on the information communication among physical terminal devices and informationalized platforms, such as smart sensors, embedded systems and intelligent networks.
Yancong Lin +4 more
doaj +1 more source
Mosaiced-Based Panoramic Depth Imaging with a Single Standard Camera [PDF]
In this article we present a panoramic depth imaging system. The system is mosaic-based which means that we use a single rotating camera and assemble the captured images in a mosaic.
Peer, Peter, Solina, Franc
core

