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Integration of Multiple Range and Intensity Image Pairs Using a Volumetric Method to Create Textured 3D Models
 

Summary: Integration of Multiple Range and Intensity Image Pairs Using
a Volumetric Method to Create Textured 3D Models
W. Harvey Gray *a
, Christophe Dumont b
, Mongi A. Abidi a
a
IRIS Laboratory, University of Tennessee, Knoxville, TN, 37996 U.S.A.
b
Le2I laboratory, IUT Le Creusot, University of Burgundy, Le Creusot, 71200, France
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

  

Source: Abidi, Mongi A. - Department of Electrical and Computer Engineering, University of Tennessee

 

Collections: Computer Technologies and Information Sciences