Novel dichotomy matching method in 3D machine vision system

LiMei Song; Lu Lu

doi:10.1117/12.807382

13 October 2008 Novel dichotomy matching method in 3D machine vision system

LiMei Song, Lu Lu

Proceedings Volume 7129, Seventh International Symposium on Instrumentation and Control Technology: Optoelectronic Technology and Instruments, Control Theory and Automation, and Space Exploration; 712908 (2008) https://doi.org/10.1117/12.807382
Event: Seventh International Symposium on Instrumentation and Control Technology, 2008, Beijing, China

Abstract

Computer vision method is an important technology for non-contact and non-destructive measurement. A lot of research is focusing on the 3D vision technique. Shape from stereo is the most popular method because it can provide high accuracy and high exactness measurement result. But if the surface is complex, the measurement result is always poor. So how to make sure the 100% stereo matching rate is an important task for the development of shape from stereo method. A novel strip matching method, which can ensure 100% matching accuracy, is proposed in this paper. It doesn't need any other assistant symbol or flag. The proposed dichotomy strip matching method is proved to a technique which high precision, low costs, easy operation, and an automatically matching method. Furthermore, it can be widely used in most of 3D vision recovery systems.

Citation Download Citation

LiMei Song and Lu Lu "Novel dichotomy matching method in 3D machine vision system", Proc. SPIE 7129, Seventh International Symposium on Instrumentation and Control Technology: Optoelectronic Technology and Instruments, Control Theory and Automation, and Space Exploration, 712908 (13 October 2008); https://doi.org/10.1117/12.807382

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