Literature DB >> 34613009

Calibration and location analysis of a heterogeneous binocular stereo vision system.

Haibo Zhou, Chenming Li, Guoqing Sun, Jinming Yin, Fenglei Ren.   

Abstract

In the dairy farming industry, we can obtain the temperature, color, and location information of dairy cows by patrol inspection robot so as to monitor the health status and abnormal behaviors of dairy cows. We build and calibrate a heterogeneous binocular stereo vision (HBSV) system comprising a high-definition color camera and infrared thermal camera and mount it on a patrol inspection robot. First, based on the traditional chessboard, an easy-to-make calibration board for the HBSV system is designed. Second, an accurate locating and sorting algorithm for the calibration points of the calibration board is designed. Then, the cameras are calibrated and the HBSV system is stereo-calibrated. Finally, target locating is achieved based on the above calibration results and Yolo target detection technology. In this paper, several experiments are carried out from many aspects. The target locating average error of HBSV system is 3.11%, which satisfies the needs of the dairy farming environment. The video's FPS captured by using HBSV is 7.3, which is 78% higher than that by using binocular stereo vision system and infrared thermal camera. The results show that the HBSV system has application value to a certain degree.

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Year:  2021        PMID: 34613009     DOI: 10.1364/AO.428054

Source DB:  PubMed          Journal:  Appl Opt        ISSN: 1559-128X            Impact factor:   1.980


  1 in total

1.  High Precision Calibration Algorithm for Binocular Stereo Vision Camera using Deep Reinforcement Learning.

Authors:  Jie Ren; Fuyu Guan; Tingting Wang; Baoshan Qian; Chunlin Luo; Guoliang Cai; Ce Kan; Xiaofeng Li
Journal:  Comput Intell Neurosci       Date:  2022-03-31
  1 in total

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