NDLI: Fast and Robust Algorithms Using Coplanar Constraints to Estimate Fundamental Matrices

Content Provider	IEEE Xplore Digital Library
Author	Cheng-Yuan Tang Hong-Long Chou Yi-Leh Wu Yan-Hung Ding
Copyright Year	2006
Description	Author affiliation: Huafan Univ., Taipei (Cheng-Yuan Tang)
Abstract	Two uncalibrated perspective images of a single rigid object/scene are related by the so-called epipolar geometry, which can be described by a 3x3 fundamental matrix. In the literature, there are lots of techniques for estimating the fundamental matrix. Because of degeneracies, however, the coplanar problem about selecting corresponding point pairs may let the estimation of fundamental matrices lead to wrong results. In this paper, two fast and robust algorithms, such as the plane fitting and homography algorithms are proposed to overcome the coplanar problem. The methods combining bucketing techniques with plane fitting and homography constraints are used to deal with some translational and rotational cases. In this paper, some experimental results are shown. According to our experimental results, the performance of our two proposed methods is better than that of the traditional method. Furthermore, the method using homography is better than that using plane fitting. Finally, we apply our results to 3D reconstruction.
Starting Page	2813
Ending Page	2818
File Size	2287705
Page Count	6
File Format	PDF
ISBN	1424400996
DOI	10.1109/ICSMC.2006.385300
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-10-08
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Robustness Transmission line matrix methods Equations Geometry Layout Cameras Image reconstruction Computer vision Information management Cybernetics
Content Type	Text
Resource Type	Article

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