NDLI: A Texture Based Matching Approach for Automated Assembly of Puzzles

Content Provider	IEEE Xplore Digital Library
Author	Sagiroglu, M.S. Ercil, A.
Copyright Year	2006
Description	Author affiliation: Sabanci Univ. (Sagiroglu, M.S.)
Abstract	The puzzle assembly problem has many application areas such as restoration and reconstruction of archeological findings, repairing of broken objects, solving jigsaw type puzzles, molecular docking problem, etc. The puzzle pieces usually include not only geometrical shape information but also visual information such as texture, color, and continuity of lines. This paper presents a new approach to the puzzle assembly problem that is based on using textural features and geometrical constraints. The texture of a band outside the border of pieces is predicted by inpainting and texture synthesis methods. Feature values are derived from these original and predicted images of pieces. An affinity measure of corresponding pieces is defined and alignment of the puzzle pieces is carried out using an FFT based image registration technique. The optimization of total affinity gives the best assembly of puzzle. Experimental results are presented on real and artificial data sets
Sponsorship	IEEE CPS
Starting Page	1036
Ending Page	1041
File Size	1139556
Page Count	6
File Format	PDF
ISBN	0769525210
ISSN	10514651
DOI	10.1109/ICPR.2006.184
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-20
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Assembly Image reconstruction Image restoration Surface texture Pattern recognition Surface cracks Surface morphology Face detection Shape Image registration
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition

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