Using Retinex for Point Selection in 3D Shape Registration

Liu, Yonghuai, Martin, Ralph R., De Dominicis, Luigi and Baihua, Li (2013) Using Retinex for Point Selection in 3D Shape Registration. Pattern Recognition, 47 (6). pp. 2126-2142. ISSN 0031-3203 DOI https://doi.org/10.1016/j.patcog.2013.12.015

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Abstract

Inspired by retinex theory, we propose a novel method for selecting key points from a depth map of a 3D freeform shape; we also use these key points as a basis for shape registration. To find key points, first, depths are transformed using the Hotelling method and normalized to reduce their dependence on a particular viewpoint. Adaptive smoothing is then applied using weights which decrease with spatial gradient and local inhomogeneity; this preserves local features such as edges and corners while ensuring smoothed depths are not reduced. Key points are those with locally maximal depths, faithfully capturing shape. We show how such key points can be used in an efficient registration process, using two state-of-the-art iterative closest point variants. A comparative study with leading alternatives, using real range images, shows that our approach provides informative, expressive, and repeatable points leading to the most accurate registration results.

Item Type: Article
Uncontrolled Keywords: Retinex; Key point; Freeform shape; Adaptive smoothing; Registration
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Computing and Information Systems
Date Deposited: 22 Nov 2018 12:16
URI: http://repository.edgehill.ac.uk/id/eprint/10856

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