Numerical Methods for Solving the Problem of Calibrating a Projective Stereo Pair Camera, Optimized for Implementation on FPGA

被引:1
作者
Anton, Zhilenkov [1 ]
Oleg, Krupinin [2 ]
Sergei, Chernyi [3 ,4 ]
Anatoliy, Nyrkov [3 ]
Sergei, Sokolov [3 ]
机构
[1] ITMO Univ, Kronverskiy St 49, St Petersburg 198000, Russia
[2] Peter Great St Petersburg Polytech Univ, St Petersburg 195251, Russia
[3] Admiral Makarov State Univ Maritime & Inland Ship, Dvinskaya Str 5-7, St Petersburg 198035, Russia
[4] Kerch State Maritime Technol Univ, Kerch 298309, Russia
来源
INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND DATA SCIENCE | 2020年 / 167卷
关键词
Stereoscopic system; 3D reconstruction; FPGA: numerical methods; optimization; contour search;
D O I
10.1016/j.procs.2020.03.275
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The initial problem of reconstructing a three-dimensional image from the data of a stereo pair of technical vision is to determine the internal parameters of each camera of a stereoscopic system. The paper develops the issues of calibration of a projective camera, defines the problem of calibration, and presents numerical methods of solution that are optimized for implementation on a computer, and, later, on FPGA. The ultimate objective of the study is to design a FPGA-based ASIC system that implements on-chip calibration functions for parameters of the stereo pair cameras, filtering, 3D image reconstruction, etc. (C) 2020 The Authors. Published by Elsevier B.V.
引用
收藏
页码:2229 / 2235
页数:7
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