Registration and integration of multisensor data for photorealistic scene reconstruction

Faysal Boughorbal; David L. Page; Christophe Dumont; Mongi A. Abidi

doi:10.1117/12.384860

5 May 2000 Registration and integration of multisensor data for photorealistic scene reconstruction

Faysal Boughorbal, David L. Page, Christophe Dumont, Mongi A. Abidi

Proceedings Volume 3905, 28th AIPR Workshop: 3D Visualization for Data Exploration and Decision Making; (2000) https://doi.org/10.1117/12.384860
Event: 28th AIPR Workshop: 3D Visualization for Data Exploration and Decision Making, 1999, Washington, DC, United States

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.

Citation Download Citation

Faysal Boughorbal, David L. Page, Christophe Dumont, and Mongi A. Abidi "Registration and integration of multisensor data for photorealistic scene reconstruction", Proc. SPIE 3905, 28th AIPR Workshop: 3D Visualization for Data Exploration and Decision Making, (5 May 2000); https://doi.org/10.1117/12.384860

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