Shape Similarity Matching With Octree Representations

2009 ◽  
Vol 9 (3) ◽  
Author(s):  
Jingsheng Zhang ◽  
Shana Smith
Keyword(s):  
Shape Matching ◽  
Data File ◽  
Markup Language ◽  
3D Shape Retrieval ◽  
3D Shape ◽  
Space Efficiency ◽  
Extensible Markup ◽  
Octree Representation ◽  
3D Shape Matching ◽  
Mesh Models

To achieve effective 3D shape retrieval, there is a crucial need for efficient shape matching methods. This paper introduces a new method for 3D shape matching, which uses a simplified octree representation of 3D mesh models. The simplified octree representation was developed to improve time and space efficiency over prior representations. The proposed method also stores octree information in extensible markup language format, rather than in a new proprietary data file type, to facilitate comparing models over the Internet.

Shape Similarity Matching With Octree Representations

2006 ◽  
Author(s):  
Jingsheng Zhang ◽  
Shana Smith
Keyword(s):  
Shape Matching ◽  
Shape Representation ◽  
Data Retrieval ◽  
Data File ◽  
The Internet ◽  
Shape Information ◽  
Shape Representations ◽  
3D Shape ◽  
Space Efficiency ◽  
Octree Representation

Shape matching is one of the fundamental problems in content-based 3D shape retrieval. Since there are typically a large number of possible matches in a shape database, there is a crucial need to perform shape matching efficiently. As a result, shapes must be reduced into a simpler shape representation, and computational complexity is one of the most important criteria for evaluating 3D shape representations. To meet the need, the investigators have implemented a new effective and efficient approach for 3D shape matching, which uses a simplified octree representation of 3D mesh models. The simplified octree representation was developed to improve time and space efficiency over prior representations. In addition, octree representations are rapidly becoming the standard file format for delivering 3D content across the Internet. The proposed approach stores octree information in XML files, rather than using a new data file type, to facilitate comparing models over the Internet. New methods for normalizing models, generating octrees, and comparing models were developed. The proposed approach allows users to efficiently exchange shape information and compare models over the Internet, in standardized data and data file formats, without transferring exact model files. The proposed approach is the first step in a project which will build a complete 3D model database and data retrieval system, which can be incorporated with other data mining techniques.

Part-in-whole 3D shape matching and docking

2011 ◽  
Vol 27 (11) ◽  
pp. 991-1004 ◽  
Author(s):  
M. Attene ◽  
S. Marini ◽  
M. Spagnuolo ◽  
B. Falcidieno
Keyword(s):  
Shape Matching ◽  
3D Shape ◽  
3D Shape Matching

scholarly journals 3D shape matching by geodesic eccentricity

2008 ◽  
Author(s):  
Adrian Ion ◽  
Nicole M. Artner ◽  
Gabriel Peyre ◽  
Salvador B. Lopez Marmol ◽  
Walter G. Kropatsch ◽  
...  
Keyword(s):  
Shape Matching ◽  
3D Shape ◽  
3D Shape Matching

A Bioinformatics Approach to 3D Shape Matching

2015 ◽  
pp. 313-325 ◽  
Author(s):  
Manuele Bicego ◽  
Stefano Danese ◽  
Simone Melzi ◽  
Umberto Castellani
Keyword(s):  
Shape Matching ◽  
3D Shape ◽  
3D Shape Matching

BodyPrint: Pose Invariant 3D Shape Matching of Human Bodies

2015 ◽  
Author(s):  
Jiangping Wang ◽  
Kai Ma ◽  
Vivek Kumar Singh ◽  
Thomas Huang ◽  
Terrence Chen
Keyword(s):  
Shape Matching ◽  
3D Shape ◽  
3D Shape Matching

3D Shape Matching via Two Layer Coding

2015 ◽  
Vol 37 (12) ◽  
pp. 2361-2373 ◽  
Author(s):  
Xiang Bai ◽  
Song Bai ◽  
Zhuotun Zhu ◽  
Longin Jan Latecki
Keyword(s):  
Shape Matching ◽  
3D Shape ◽  
3D Shape Matching
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