What the back of the object looks like: 3D reconstruction from line drawings without hidden lines

IEEE Transactions on Pattern Analysis and Machine Intelligence
Liangliang CaoXiaoou Tang

Abstract

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. Many reconstruction methods have been proposed 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 to reconstructing a complete 3D object, including the shape of the back of the object, from a line drawing without hidden lines. First, we develop theoretical constraints and an algorithm 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 show a number of examples to demonstrate the success of our approach.

References

Jun 10, 2005·IEEE Transactions on Pattern Analysis and Machine Intelligence·Jianzhuang Liu, Xiaoou Tang
Mar 29, 2006·IEEE Transactions on Pattern Analysis and Machine Intelligence·Hisashi Shimodaira
Feb 1, 1979·IEEE Transactions on Pattern Analysis and Machine Intelligence·R M Haralick, L G Shapiro
May 1, 1982·IEEE Transactions on Pattern Analysis and Machine Intelligence·K Sugihara
May 1, 1984·IEEE Transactions on Pattern Analysis and Machine Intelligence·K Sugihara

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Citations

Nov 23, 2010·IEEE Transactions on Pattern Analysis and Machine Intelligence·Jianzhuang LiuXiaoou Tang
Jun 23, 2009·IEEE Transactions on Pattern Analysis and Machine Intelligence·Liangliang CaoXiaoou Tang
Jun 23, 2009·IEEE Transactions on Pattern Analysis and Machine Intelligence·Peter A C Varley
Nov 6, 2020·Vision Research·Pallavi Mishra, Sébastien Hélie

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