The geometrical analysis of localization error characteristic in stereo vision systems

2021 ◽  
Vol 92 (1) ◽  
pp. 015122
Author(s):  
Xing Li ◽  
Shuang Gao ◽  
Yanqiang Yang ◽  
Jian Liang
Keyword(s):  
Stereo Vision ◽  
Error Characteristic ◽  
Localization Error ◽  
Geometrical Analysis ◽  
Vision Systems

Geometrical Analysis of Localization Error in Stereo Vision Systems

2013 ◽  
Vol 13 (11) ◽  
pp. 4236-4246 ◽  
Author(s):  
Fahimeh Fooladgar ◽  
Shadrokh Samavi ◽  
Sayed Mohammad Reza Soroushmehr ◽  
Shahram Shirani
Keyword(s):  
Stereo Vision ◽  
Localization Error ◽  
Geometrical Analysis ◽  
Vision Systems

scholarly journals A spiking neural network model of 3D perception for event-based neuromorphic stereo vision systems

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Marc Osswald ◽  
Sio-Hoi Ieng ◽  
Ryad Benosman ◽  
Giacomo Indiveri
Keyword(s):  
Neural Network ◽  
Machine Vision ◽  
Stereo Vision ◽  
Correspondence Problem ◽  
Spiking Neural Network ◽  
Neuromorphic Engineering ◽  
Stereo Correspondence ◽  
Vision Systems ◽  
Neuromorphic Hardware ◽  
Event Based

Abstract Stereo vision is an important feature that enables machine vision systems to perceive their environment in 3D. While machine vision has spawned a variety of software algorithms to solve the stereo-correspondence problem, their implementation and integration in small, fast, and efficient hardware vision systems remains a difficult challenge. Recent advances made in neuromorphic engineering offer a possible solution to this problem, with the use of a new class of event-based vision sensors and neural processing devices inspired by the organizing principles of the brain. Here we propose a radically novel model that solves the stereo-correspondence problem with a spiking neural network that can be directly implemented with massively parallel, compact, low-latency and low-power neuromorphic engineering devices. We validate the model with experimental results, highlighting features that are in agreement with both computational neuroscience stereo vision theories and experimental findings. We demonstrate its features with a prototype neuromorphic hardware system and provide testable predictions on the role of spike-based representations and temporal dynamics in biological stereo vision processing systems.

A Stereo Vision System for Underwater Vehicle-Manipulator Systems – Proposal of a Novel Concept Using Pan-Tilt-Slide Cameras –

2013 ◽  
Vol 25 (5) ◽  
pp. 785-794 ◽  
Author(s):  
Shinichi Sagara ◽  
◽  
Radzi Bin Ambar ◽  
Fumiaki Takemura ◽  
Keyword(s):  
Stereo Vision ◽  
Vision System ◽  
Underwater Vehicle ◽  
Target Object ◽  
Cylindrical Container ◽  
Vision Systems ◽  
Stereo Vision System ◽  
Mobile Cameras ◽  
Novel Concept ◽  
System Prototype

Underwater Vehicle-Manipulator Systems (UVMS) are expected to be used in various tasks in underwater environments. The manipulators of the UVMS are designed to execute tasks such as handling and catching objects. It is therefore necessary to equip UVMS with sensors that observe and measure the position of target objects. Stereo vision systems are one type of such sensors. We propose a stereo vision system for UVMS consisting of 2 mobile cameras that pan, tilt and slide individually using motors. This vision system is installed inside a waterproof cylindrical container that enables it to track a target object in underwater environments. Stereo vision system concept and mechanism are proposed, and the effectiveness of the proposed system is shown by experiments using a vision system prototype.

Improve a 3D distance measurement accuracy in stereo vision systems using optimization methods’ approach

2017 ◽  
Vol 25 (1) ◽  
pp. 24-32 ◽  
Author(s):  
J.C. Rodríguez-Quiñonez ◽  
O. Sergiyenko ◽  
W. Flores-Fuentes ◽  
M. Rivas-lopez ◽  
D. Hernandez-Balbuena ◽  
...  
Keyword(s):  
Stereo Vision ◽  
Measurement Accuracy ◽  
Optimization Methods ◽  
Distance Measurement ◽  
Vision Systems
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