DocumentCode
949399
Title
What the Back of the Object Looks Like: 3D Reconstruction from Line Drawings without Hidden Lines
Author
Cao, Liangliang ; Liu, Jianzhuang ; Tang, Xiaoou
Author_Institution
Univ. of Illinois, Urbana
Volume
30
Issue
3
fYear
2008
fDate
3/1/2008 12:00:00 AM
Firstpage
507
Lastpage
517
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.
Keywords
computational geometry; image reconstruction; 3D object reconstruction; invisible edges topology; invisible vertices topology; line drawings; 3D reconstruction; hidden topology; line drawings; visual perception; Algorithms; Artificial Intelligence; Computer-Aided Design; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity;
fLanguage
English
Journal_Title
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher
ieee
ISSN
0162-8828
Type
jour
DOI
10.1109/TPAMI.2007.1185
Filename
4359328
Link To Document