NDLI: Generalized MPU Implicits Using Belief Propagation

Content Provider	IEEE Xplore Digital Library
Author	Yi-Ling Chen Shang-Hong Lai Tung-Ying Lee
Copyright Year	2007
Description	Author affiliation: Nat. Tsing Hua Univ., Hsinchu (Yi-Ling Chen; Shang-Hong Lai; Tung-Ying Lee)
Abstract	In this paper, we present a new algorithm to reconstruct 3D surfaces from an unorganized point cloud based on generalizing the MPU implicit algorithm through introducing a powerful orientation inference scheme via Belief Propagation. Instead of using orientation information like surface normals, local data distribution analysis is performed to identify the local surface property so as to guide the selection of local fitting models. We formulate the determination of the globally consistent orientation as a graph optimization problem. Local belief networks are constructed by treating the local shape functions as their nodes. The consistency of adjacent nodes linked by an edge is checked by evaluating the functions and an energy is thus defined. By minimizing the total energy over the graph, we can obtain an optimal assignment of labels indicating the orientation of each local shape function. The local inference result is propagated over the model in a front-propagation fashion to obtain the global solution. We demonstrate the performance of the proposed algorithm by showing experimental results on some real-world 3D data sets.
Starting Page	400
Ending Page	407
File Size	561036
Page Count	8
File Format	PDF
ISBN	9780769529394
ISSN	15506185
DOI	10.1109/3DIM.2007.27
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-08-21
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Belief propagation Inference algorithms Surface reconstruction Surface fitting Surface treatment Shape Clouds Data analysis Information analysis Performance analysis
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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