Title :
Object recognition by the edge line under projective distortions
Author :
Gruzman, I.S. ; Nikitin, V.G.
Author_Institution :
Novosibirsk Tech. State Univ., Russia
fDate :
26 June-2 July 2005
Abstract :
To perform a task of object recognition is suggested to use edge line fitting by straight lines and crossing points of these lines consider as feature points of object.
Keywords :
edge detection; feature extraction; object recognition; crossing points; edge line fitting; geometrically distorted objects; object feature points; object recognition; projective distortions; straight lines; Algorithm design and analysis; Artificial intelligence; Gray-scale; Image edge detection; Mean square error methods; Noise robustness; Object recognition; Polynomials;
Conference_Titel :
Science and Technology, 2005. KORUS 2005. Proceedings. The 9th Russian-Korean International Symposium on
Print_ISBN :
0-7803-8943-3
DOI :
10.1109/KORUS.2005.1507798