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Conference Paper A Unified Camera Calibration from Arbitrary Parallelograms and Parallepipeds
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Authors
Jae-Hean Kim, Jin Sung Choi
Issue Date
2015-10
Citation
International Conference on Advanced Concepts for Intelligent Vision Systems (ACIVS) 2015 (LNCS 9386), pp.142-153
Publisher
Springer
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1007/978-3-319-25903-1_13
Abstract
This paper presents a novel approach to calibrate cameras that can use geometric information of parallelograms and parallepipeds simultaneously. The proposed method is a factorization based approach solving the problem linearly by decomposing a measurement matrix into parameters of cameras, parallelograms and parallepipeds. Since the two kinds of geometric constraints can complement each other in general man-made environment, the proposed method can obtain more stable estimation results than the previous approaches that can use geometric constraints only either of parallelograms or of parallelepipeds. The results of the experiments with real images are presented to demonstrate the feasibility of the proposed method.
KSP Keywords
Based Approach, Camera Calibration, Geometric constraints, Novel approach, geometric information, measurement matrix