2D-Line-Drawing-Based 3D Object Recognition.

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.