5 May 2000 Registration and integration of multisensor data for photorealistic scene reconstruction
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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.
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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); doi: 10.1117/12.384860; https://doi.org/10.1117/12.384860
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