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Spin-images: A representation for 3-d surface matching (1997)
| Citations: | 168 - 4 self |
BibTeX
@TECHREPORT{Johnson97spin-images:a,
author = {Andrew Edie Johnson},
title = {Spin-images: A representation for 3-d surface matching},
institution = {},
year = {1997}
}
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Abstract
surface registration, object modeling, scene clutter. Dedicated to Dorothy D. Funnell, a believer in higher education. Surface matching is the process that compares surfaces and decides whether they are similar. In three-dimensional (3-D) computer vision, surface matching plays a prominent role. Surface matching can be used for object recognition; by comparing two surfaces, an association between a known object and sensed data is established. By computing the 3-D transformation that aligns two surfaces, surface matching can also be used for surface registration. Surface matching is difficult because the coordinate system in which to compare two surfaces is undefined. The typical approach to surface matching is to transform the surfaces being compared into representations where comparison of surfaces is straightforward. Surface matching is further complicated by characteristics of sensed data, including clutter, occlusion and sensor noise. This thesis describes a data level representation of surfaces used for surface matching. In our representation, surface shape is described by a dense collection of oriented points, 3-D
Keyphrases
surface matching 3-d surface matching surface registration oriented point object recognition scene clutter 3-d transformation typical approach sensed data data level representation sensor noise coordinate system computer vision prominent role surface shape object modeling dense collection
