Eigenspace technique in stereo vision matching processing for autonomous navigation

Autor:	Eng Swee Kheng, Anwar Hasni Abu Hassan, Ali Ranjbaran
Rok vydání:	2011
Předmět:	Stereo cameras Matching (graph theory) business.industry Matrix decomposition Matrix (mathematics) Stereopsis Essential matrix Computer Science::Computer Vision and Pattern Recognition Computer vision Artificial intelligence Noise (video) business Correspondence problem Mathematics
Zdroj:	International Conference on Electrical, Control and Computer Engineering 2011 (InECCE).
Popis:	A new method in correspondence problem for two cameras stereo vision system is proposed in this paper. Reduction noise effect and computation time are the core of our investigation. In direction to reduce noise we transfer two left and right images to two correspondence vectors. The transferred vectors then construct a 2c2 matrix. The algorithm is mainly based on matrix space concept and eigenspace decomposition of the matrix. The main assumption is that the two cameras are arranged horizontally so that correspondences points are distributed in horizon direction. Some practical examples presented to evaluate our investigation.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::e59948ddb32e51ebe5977837ae93ea96 https://doi.org/10.1109/inecce.2011.5953901 Zobrazit plný text záznamu