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http://dx.doi.org/10.9717/kmms.2012.15.6.711

Comparison of LoG and DoG for 3D reconstruction in haptic systems  

Sung, Mee-Young (인천대학교 컴퓨터공학부)
Kim, Ki-Kwon (인천대학교 컴퓨터공학부)
Publication Information
Journal of Korea Multimedia Society / v.15, no.6, 2012 , pp. 711-721 More about this Journal
Abstract
The objective of this study is to propose an efficient 3D reconstruction method for developing a stereo-vision-based haptics system which can replace "robotic eyes" and "robotic touch." The haptic rendering for 3D images requires to capture depth information and edge information of stereo images. This paper proposes the 3D reconstruction methods using LoG(Laplacian of Gaussian) algorithm and DoG(Difference of Gaussian) algorithm for edge detection in addition to the basic 3D depth extraction method for better haptic rendering. Also, some experiments are performed for evaluating the CPU time and the error rates of those methods. The experimental results lead us to conclude that the DoG method is more efficient for haptic rendering. This paper may contribute to investigate the effective methods for 3D image reconstruction such as in improving the performance of mobile patrol robots.
Keywords
stereo vision; 3D reconstruction; haptic rendering; LoG(Laplacian of Gaussian); DoG(Difference of Gaussian);
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