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Improving shape from shading with interactive Tabu search

Wu, Jing, Rosin, Paul L., Sun, Xianfang and Martin, Ralph Robert 2016. Improving shape from shading with interactive Tabu search. Journal of Computer Science and Technology 31 (3) , pp. 488-500. 10.1007/s11390-016-1639-1

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Abstract

Optimisation based shape from shading (SFS) is sensitive to initialization: errors in initialization are a significant cause of poor overall shape reconstruction. In this paper, we present a method to help overcome this problem by means of user interaction. There are two key elements in our method. Firstly, we extend SFS to consider a set of initializations, rather than to use a single one. Secondly, we efficiently explore this initialization space using a heuristic search method, tabu search, guided by user evaluation of the reconstruction quality. Reconstruction results on both synthetic and real images demonstrate the effectiveness of our method in providing more desirable shape reconstructions.

Item Type: Article
Date Type: Published Online
Status: Published
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Publisher: Springer
Funders: Engineering and Physical Sciences Research Council
Date of First Compliant Deposit: 27 April 2016
Date of Acceptance: 13 March 2016
Last Modified: 31 Oct 2017 19:16
URI: http://orca.cf.ac.uk/id/eprint/90076

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