3D structure recovery and calibration under varying intrinsic parameters using known angles

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In this paper, we present a new algorithm for the calibration of a camera and the recovery of 3D scene structure up to a scale from image sequences using known angles between lines in the scene. The proposed method computes the intrinsic parameters of camera using the invariance of angles under the similarity transformation. Specifically, we recover the matrix that is the homography between the projective structure and the Euclidean structure using angles. Since this matrix is a unique one in the given set of image sequences, we can easily deal with the problem of varying intrinsic parameters of the camera. Experimental results on the synthetic and real images demonstrate the feasibility of the proposed algorithm. (C) 2000 Pattern Recognition Society, Published by Elsevier Science Ltd. All rights reserved.
Publisher
PERGAMON-ELSEVIER SCIENCE LTD
Issue Date
2001-02
Language
English
Article Type
Article
Citation

PATTERN RECOGNITION, v.34, no.2, pp.351 - 359

ISSN
0031-3203
URI
http://hdl.handle.net/10203/20681
Appears in Collection
EE-Journal Papers(저널논문)
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