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Comparative Analysis of Cost Aggregation Algorithms in Stereo Vision  

Lee, Yong-Hwan (Dept. of Smart Mobile, Far East University)
Kim, Youngseop (Dept. of Electronic and Engineering, Dankook University)
Publication Information
Journal of the Semiconductor & Display Technology / v.15, no.1, 2016 , pp. 47-51 More about this Journal
Human visual system infers 3D vision through stereo disparity in the stereoscopic images, and stereo visioning are recently being used in consumer electronics which has resulted in much research in the application field. Basically, stereo vision system consists of four processes, which are cost computation, cost aggregation, disparity calculation, and disparity refinement. In this paper, we present and evaluate the existing various methods, focusing on cost aggregation for stereo vision system to comparatively analyze the performance of their algorithms for a given set of resources. Experiments show that Normalized Cross Correlation and Zero-Mean Normalized Cross Correlation provide higher accuracy, however they are computationally heavy for embedded system in the real time systems. Sum of Absolute Difference and Sum of Squared Difference are more suitable selection for embedded system, but they should be required on improvement to apply to the real world system.
Comparative Analysis; Cost Aggregation; Stereo Vision; Stereoscopic Image;
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Times Cited By KSCI : 1  (Citation Analysis)
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