Title :
Texture-orientation based vanishing point detection using genetic algorithm
Author :
Barat, Marius ; Saryazdi, Saeid ; Morsali, Alireza ; Nezamabadi-pour, Hossein
Author_Institution :
Dept. of Electr. Eng., ShahidBahonar Univ., Kerman, Iran
Abstract :
Perspective effects in an image make parallel lines converge to a point, termed a vanishing point, in the infinity. Finding vanishing points is playing an important role in 3D perception and analysis of 2D images. One of the most efficient methods to detect these points is texture-orientation based method. The main drawback of this method is high computational time and complexity. In this paper we propose to use a Genetic Algorithm to reduce time and complexity in texture-orientation based vanishing point detection. The experimental results show the efficacy of the proposed method.
Keywords :
genetic algorithms; image texture; object detection; 2D images analysis; 3D perception; genetic algorithm; perspective effects; texture-orientation; vanishing point detection; Biological cells; Complexity theory; Gabor filters; Genetic algorithms; Signal processing algorithms; Sociology; Statistics; Vanishing point detection; genetic algorithm; texture orientation;
Conference_Titel :
Telecommunications (IST), 2012 Sixth International Symposium on
Conference_Location :
Tehran
Print_ISBN :
978-1-4673-2072-6
DOI :
10.1109/ISTEL.2012.6483096