Registration and Integration of Multi-Sensor Data for Photo-realistic Scene Reconstruction
Faysal Boughorbal, David L. Page, Christophe Dumont, Mongi A. Abidi · 2000
In this paper, we present a method for automatically registering a 3D range image and a 2D color image using the c 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 c 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 from a Kodak digital camera, we present results using this automatic registration with the c 2 -similarity metric. Keywords: multi-sensor registration, range and color registration, 3D scene reconstruction 1.