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Proceedings Paper

Error-detective one-dimensional mapping
Author(s): Yun Zhang; Shihao Zhou
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Paper Abstract

The 1-D mapping is an intensity-based method used to estimate a projective transformation between two images. However, it lacks an intensity-invariant criterion for deciding whether two images can be aligned or not. The paper proposes a novel decision criterion and, thus, develops an error-detective 1-D mapping method. First, a multiple 1-D mapping scheme is devised for yielding redundant estimates of an image transformation. Then, a voting scheme is proposed for verifying these multiple estimates, in which at least one estimate without receiving all the votes is taken as a decision criterion for false-match rejection. Based on the decision criterion, an error-detective 1-D mapping algorithm is also constructed. Finally, the proposed algorithm is evaluated in registering real image pairs with a large range of projective transformations.

Paper Details

Date Published: 8 February 2017
PDF: 6 pages
Proc. SPIE 10225, Eighth International Conference on Graphic and Image Processing (ICGIP 2016), 102250O (8 February 2017); doi: 10.1117/12.2267116
Show Author Affiliations
Yun Zhang, Kunming Univ. of Science and Technology (China)
Shihao Zhou, Kunming Univ. of Science and Technology (China)

Published in SPIE Proceedings Vol. 10225:
Eighth International Conference on Graphic and Image Processing (ICGIP 2016)
Yulin Wang; Tuan D. Pham; Vit Vozenilek; David Zhang; Yi Xie, Editor(s)

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