21 March 2000 Integration of multiple range and intensity image pairs using a volumetric method to create textured 3D models
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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.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
W. Harvey Gray, Christophe Dumont, 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); doi: 10.1117/12.380062; https://doi.org/10.1117/12.380062


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