Volume 9 Number 7 (Jul. 2014)
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JCP 2014 Vol.9(7): 1590-1597 ISSN: 1796-203X
doi: 10.4304/jcp.9.7.1590-1597

A Novel 3D Reconstruction Approach from Uncalibrated Multiple Views Based on Homography

Shuai Liu1, Lingli Zhao1, Junsheng Li1, Li Ma2
1School of Engineering, Honghe University, Mengzi, China, 661100 Email: liushuai_csu@126.com
2Changjiang Institute of Survey, Planning, Design and Research,Wuhan, Hubei, China, 430010


Abstract—In this paper, we focus on a kind of 3D object shape reconstruction from images and put forward a metric approach to recover the object based on slicing planes by homography transformation and image consistency between multiple images. This approach done here eliminates the requirement for camera calibration, the estimation of the fundamental matrix, feature matches and pose estimation. We adopt a set of hypothetical planes to intersect the reconstructed object to obtain every slicing plane of the reconstructed object by homography transformation and recover it to 3D adding vanishing points by the constraints of silhouette and the scene. The experiment shows that the approach is much validated, and something useful is obtained.

Index Terms—Homography, 3D Recovery, 2D images, slicing planes

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Cite: Shuai Liu, Lingli Zhao, Junsheng Li, Li Ma, "A Novel 3D Reconstruction Approach from Uncalibrated Multiple Views Based on Homography," Journal of Computers vol. 9, no. 7, pp. 1590-1597, 2014.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Monthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, CNKI,etc
E-mail: jcp@iap.org
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