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Proceedings Paper

Registration and integration of multisensor data for photorealistic scene reconstruction
Author(s): Faysal Boughorbal; David L. Page; Christophe Dumont; Mongi A. Abidi
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Paper Abstract

In this paper, we present a method for automatically registering a 3D range image and a 2D color image using the (chi) 2-similarity metric. The goal of this registration is to allow the reconstruction of a scene using multi-sensor information. Traditional registration algorithms use invariant image features to drive the registration process. This approach limits the applicability to multi-modal data since features of interest may not appear in each modality. However, the (chi) 2-similarity metric is an intensity- based approach that has interesting multi-modal characteristics. We explore this metric as a mechanism to govern the registration search. Using range data from a Perceptron laser camera and color data form a Kodak digital camera, we present result using this automatic registration with the (chi) 2-similarity metric.

Paper Details

Date Published: 5 May 2000
PDF: 11 pages
Proc. SPIE 3905, 28th AIPR Workshop: 3D Visualization for Data Exploration and Decision Making, (5 May 2000); doi: 10.1117/12.384860
Show Author Affiliations
Faysal Boughorbal, Ecole Nationale des Ingenieurs de Tunis and Univ. of Tennessee/Knoxville (United States)
David L. Page, Univ. of Tennessee/Knoxville (United States)
Christophe Dumont, Univ. of Tennessee/Knoxville and Univ. de Bourgogne (France) (United States)
Mongi A. Abidi, Univ. of Tennessee/Knoxville (United States)

Published in SPIE Proceedings Vol. 3905:
28th AIPR Workshop: 3D Visualization for Data Exploration and Decision Making
William R. Oliver, Editor(s)

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