3D Modeling from Photos Given Topological Information

Title
3D Modeling from Photos Given Topological Information
Authors
안상철김영민조정현
Keywords
3D modeling; 3D modeling from a single photograph; topology
Issue Date
2016-09
Publisher
IEEE transactions on visualization and computer graphics
Citation
VOL 22, NO 9-2081
Abstract
Reconstructing 3D models given a single-view 2D information is inherently an ill-posed problem and requires additional information such as shape prior or user input. We introduce a method to generate multiple 3D models of a particular category given corresponding photographs when the topological information is known. While there is a wide range of shapes for an object of a particular category, the basic topology usually remains constant. In consequence, the topological prior needs to be provided only once for each category and can be easily acquired by consulting an existing database of 3D models or by user input. The input of topological description is only connectivity information between parts; this is in contrast to previous approaches that have required users to interactively mark individual parts. Given the silhouette of an object and the topology, our system automatically finds a skeleton and generates a textured 3D model by jointly fitting multiple parts. The proposed method, therefore, opens the possibility of generating a large number of 3D models by consulting a massive number of photographs. We demonstrate examples of the topological prior and reconstructed 3D models using photos.
URI
http://pubs.kist.re.kr/handle/201004/64756
ISSN
1077-2626
Appears in Collections:
KIST Publication > Article
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