2D-line-drawing-based 3d object recognition

Authors:
Yong-Jin Liu;Qiu-Fang Fu;Ye Liu;Xiao-Lan Fu
Affiliations:
TNList, Department of Computer Science and Technology, Tsinghua University, Beijing, China;State Key Lab of Brain and Cognitive Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China;State Key Lab of Brain and Cognitive Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China;State Key Lab of Brain and Cognitive Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
Venue:
CVM'12 Proceedings of the First international conference on Computational Visual Media
Year:
2012

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Abstract

3D object recognition has attracted considerable research in computer vision and computer graphics. In this paper, we draw attentions from neurophysiological research that line drawings trigger a neural response similar to natural color images, and propose a line-drawing-based 3D object recognition method. The contribution of the proposed method includes a feature defined for line drawings and a similarity metric for object recognition. Experimental results on McGill 3D shape benchmark show that the proposed method has the best performance when compared to five classic 3D object recognition methods.