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Adaptive enhancement of 3D scenes using hierarchical registration of texture-mapped 3D models

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2 Author(s)
Ramalingam, S. ; Dept. of Comput. Sci., California Univ., Santa Cruz, CA, USA ; Lodha, S.K.

Adaptive fusion of new information in a 3D urban scene is an important goal to achieve in computer vision, graphics, and visualization. We acquire new image pairs of a scene from closer distances and extract 3D models of successively higher resolutions. We present a new hierarchical approach to register these texture-mapped 3D models with a coarse 3D texture mapped model of an urban scene. First, we use the standard reconstruction algorithm to construct 3D models after establishing 1-1 correspondence between the feature points of two images at same resolution. Next, a subset of these feature points is used to register the higher resolution image with the lower resolution image using a scale-sensitive algorithm. Finally we register and consistently merge the 3D models at different resolutions. We present the results of our hierarchical algorithm for adaptive enhancement of a mural inside the UCSC Campus by registering data that differ in scale by a ratio of 1:15. Results indicate that the proposed hierarchical registration technique effectively utilizes the intermediate models to enable the smooth registration of the high resolution models on the coarser models.

Published in:

3-D Digital Imaging and Modeling, 2003. 3DIM 2003. Proceedings. Fourth International Conference on

Date of Conference:

6-10 Oct. 2003