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Surface Feature Detection and Description with Applications to Mesh Matching (2009)
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BibTeX
@MISC{Zaharescu09surfacefeature,
author = {Andrei Zaharescu and Edmond Boyer and Kiran Varanasi and Radu Horaud},
title = {Surface Feature Detection and Description with Applications to Mesh Matching},
year = {2009}
}
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Abstract
In this paper we revisit local feature detectors/descriptors developed for 2D images and extend them to the more general framework of scalar fields defined on 2D manifolds. We provide methods and tools to detect and describe features on surfaces equiped with scalar functions, such as photometric information. This is motivated by the growing need for matching and tracking photometric surfaces over temporal sequences, due to recent advancements in multiple camera 3D reconstruction. We propose a 3D feature detector (MeshDOG) and a 3D feature descriptor (MeshHOG) for uniformly triangulated meshes, invariant to changes in rotation, translation, and scale. The descriptor is able to capture the local geometric and/or photometric properties in a succinct fashion. Moreover, the method is defined generically for any scalar function, e.g., local curvature. Results with matching rigid and non-rigid meshes demonstrate the interest of the proposed framework.
Keyphrases
surface feature detection mesh matching scalar function general framework succinct fashion scalar field local curvature local feature detector descriptor temporal sequence photometric information local geometric recent advancement photometric property feature detector multiple camera feature descriptor photometric surface non-rigid mesh
