Integration of multiple range and intensity image pairs using a volumetric method to create textured 3D models

W. Harvey Gray; Christophe Dumont; Mongi A. Abidi

doi:10.1117/12.380062

21 March 2000 Integration of multiple range and intensity image pairs using a volumetric method to create textured 3D models

W. Harvey Gray, Christophe Dumont, Mongi A. Abidi

Author Affiliations +

Proceedings Volume 3966, Machine Vision Applications in Industrial Inspection VIII; (2000) https://doi.org/10.1117/12.380062
Event: Electronic Imaging, 2000, San Jose, CA, United States

Abstract

The reconstruction of highly detailed, 3D object models is a major goal of current research. Such models can be used in machine vision applications as well as for visualization purposes. The method presented here assumes that there are multiple range and intensity image pairs of an object, all registered to a global coordinate system. The individual range images are then used to create a surface mesh and the associated intensity images are applied to the surface mesh as a texture map. These multiple, textured, range meshes are then used to update a volume grid -- based upon whether a location in the volume grid is known, unknown, or empty -- using information that has the highest confidence for any given voxel. The updated volume grid can then be passed through a marching cubes algorithm with adaptive subdivisions to get a fully textured 3D model. The adaptive marching cubes algorithm takes into account additional information concerning edge weights and texture coordinates to give a smoother surface than that produced with standard marching cubes. Once complete, additional, registered intensity images can be applied to the surface of the object.

Citation Download Citation

W. Harvey Gray, Christophe Dumont, and Mongi A. Abidi "Integration of multiple range and intensity image pairs using a volumetric method to create textured 3D models", Proc. SPIE 3966, Machine Vision Applications in Industrial Inspection VIII, (21 March 2000); https://doi.org/10.1117/12.380062

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