A Quadrant Approach of Camera Calibration Method for Depth Estimation Using a Stereo Vision System-Reference-Cited by-同舟云学术

A Quadrant Approach of Camera Calibration Method for Depth Estimation Using a Stereo Vision System

Published:2022-10-17 Issue: Volume: Page:
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Container-title:IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society
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Author:

Real-Moreno Oscar¹,Rodriguez-Quinonez Julio C.¹,Sergiyenko Oleg²,Flores-Fuentes Wendy¹,Castro-Toscano Moises J.¹,Miranda-Vega Jesus E.³,Mercorelli Paolo⁴,Valdez-Rodriguez Jorge Alejandro¹,Trujillo-Hernandez Gabriel¹,Sanchez-Castro Jonathan J.¹

Affiliation:

1. Universidad Autónoma de Baja California,Engineering Faculty,Mexicali,Baja California,México

2. Universidad Autónoma de Baja California,Engineering Institute,Mexicali,Baja California,México

3. Tecnológico Nacional de México/IT Mexicali,Department of Computer Systems,Mexicali,Baja California,México

4. Leuphana University of Lueneburg,Institute of Product and Process Innovation,Lueneburg,Germany

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9968313/9968303/09968346.pdf?arnumber=9968346

Reference19 articles.

1. 3D tracking of multiple onsite workers based on stereo vision

2. Calibration for stereo vision system based on phase matching and bundle adjustment algorithm

3. Inertial measurement unit aided extrinsic parameters calibration for stereo vision systems

4. Improve three-dimensional point localization accuracy in stereo vision systems using a novel camera calibration method;ramírez-hernández;International Journal of Advanced Robotic Systems,2020

5. Surface Measurement Techniques in Machine Vision

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