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Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1
3D Object Reconstruction from a Single 2D Line Drawing without Hidden Lines
Beijing, China
October 17-October 20
ISBN: 0-7695-2334-X
Liangliang Cao, Chinese University of Hong Kong
Jianzhuang Liu, Chinese University of Hong Kong
Xiaoou Tang, Microsoft Research Asia
The human vision system can interpret a single 2D line drawing as a 3D object without much difficulty even if the hidden lines of the object are invisible. Several reconstruction approaches have tried to emulate this ability, but they cannot recover the complete object if the hidden lines of the object are not shown. This paper proposes a novel approach for reconstructing complete 3D objects from line drawings without hidden lines. First, we develop some constraints and properties for the inference of the topology of the invisible edges and vertices of an object. Then we present a reconstruction method based on perceptual symmetry and planarity of the object. We give a number of examples to demonstrate the ability of our approach.
Citation:
Liangliang Cao, Jianzhuang Liu, Xiaoou Tang, "3D Object Reconstruction from a Single 2D Line Drawing without Hidden Lines," iccv, vol. 1, pp.272-277, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1, 2005
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