NDLI: 3D model reconstruction based on multiple view image capture

Content Provider	IEEE Xplore Digital Library
Author	Po-Han Lee Jui-Wen Huang Huei-Yung Lin
Copyright Year	2012
Description	Author affiliation: Department of Electrical Engineering, National Chung Cheng University, 168 University Road, Min-Hsiung, Chia-Yi 621, Taiwan (Po-Han Lee; Jui-Wen Huang; Huei-Yung Lin)
Abstract	In this paper, a system is designed for three-dimensional model reconstruction. The proposed system uses a camera to take multiple images from the object and analyze those images using structure from motion (SFM) to obtain the camera parameters and sparse point clouds. Therefore, this system can work without any camera calibration prior to the experiments. In order to reconstruct the target object, the patch-based multi-view stereo is used to capture two target postures and compute the three-dimensional point clouds and color information from the target object. Then use the iterative closest point algorithm to register those two target postures. In the last step, the Poisson surfaces reconstruction technique is used to build the three-dimensional mesh model. Finally, the experimental results show that the study acquires proper practicability and robustness.
Starting Page	58
Ending Page	63
File Size	487792
Page Count	6
File Format	PDF
ISBN	9781467350839
e-ISBN	9781467350822
e-ISBN	9781467350815
DOI	10.1109/ISPACS.2012.6473453
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-11-04
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image reconstruction Cameras Solid modeling Feature extraction Stereo vision Surface reconstruction Signal processing algorithms Structure from Motion 3D Model Reconstruction Multiple View Images
Content Type	Text
Resource Type	Article

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