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Proceedings Paper

Pose estimation of an active stereo system by principal moments of point features
Author(s): Dan Cojoc; Paolo Grattoni; Giuseppe Pettiti; R. Nerino
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Paper Abstract

The estimation of the pose variation (egomotion) of a vision system while looking at the same scene from two different poses is both of theoretical and practical interest in computer vision. In this work we deal with this problem by developing a method to estimate the relative motion of our stereo vision system with respect to an object surface in a static scene. The images of the object taken from different views are described by a set of well localized 2D features named key points with associated local descriptors. These descriptors are based on coefficients of a Gabor wavelet transform of the images, and on the 3D object co-ordinates of the corresponding points in the space. 3D point co- ordinates are evaluated by means of a fixation process performed by our active stereo vision system. A selection process of key points based on the similarity of their descriptors in the two images produces two sets with the same number of key points, every set having a high probability to be composed by the correspondent points in the other images. The centroids and the principal moment axes (roto-translation invariants) of the 3D point co- ordinates of the two sets are evaluated, and the relative motion between the two poses is recovered from this information, thus avoiding a direct point to point matching.

Paper Details

Date Published: 19 August 1998
PDF: 4 pages
Proc. SPIE 3573, OPTIKA '98: 5th Congress on Modern Optics, (19 August 1998); doi: 10.1117/12.324558
Show Author Affiliations
Dan Cojoc, Politehnica Univ. of Bucharest (Romania)
Paolo Grattoni, CSTV-CNR (Italy)
Giuseppe Pettiti, CSTV-CNR (Italy)
R. Nerino, Instituto Elettrotecnico Nazionale Galileo Ferraris (Italy)


Published in SPIE Proceedings Vol. 3573:
OPTIKA '98: 5th Congress on Modern Optics
Gyorgy Akos; Gabor Lupkovics; Andras Podmaniczky, Editor(s)

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