Open AccessMeasurement error analysis of binocular stereo vision: effective guidelines for bionic eyes
Author(s) -
Wang Qingbin,
Yin Yingjie,
Zou Wei,
Xu De
Publication year - 2017
Publication title -
iet science, measurement and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.418
H-Index - 49
eISSN - 1751-8830
pISSN - 1751-8822
DOI - 10.1049/iet-smt.2016.0359
Subject(s) - artificial intelligence , computer vision , rotation (mathematics) , computer science , observational error , binocular vision , stereopsis , feature (linguistics) , error analysis , mathematics , statistics , linguistics , philosophy
The depth measurement error of bionic eyes consisting of two active cameras is derived by considering the eyes’ rotation angle errors and image feature extraction errors. The effect factors of the depth measurement are obtained from the calculation formula of depth error. Based on the analysis of these effect factors, some effective guidelines for bionic eyes are proposed to reduce the measurement errors. The guidelines suggest keeping long baseline, observing the target as nearly as possible, controlling two active cameras with the same angular velocity and keeping the target on Z w axis if possible. The simulation experiments and practical experiments in bionic eyes platform validate the effectiveness of the proposed guidelines.