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Mesh-based Integration of Range and Color Images Yiyong Sun*

Summary: Mesh-based Integration of Range and Color Images
Yiyong Sun*
, Christophe Dumont, Mongi A. Abidi
Imaging, Robotics, and Intelligent Systems (IRIS) Laboratory
Department of Electrical and Computer Engineering
University of Tennessee, Knoxville
This paper discusses the construction of photo-realistic 3D models from multisensor data. The data typically comprises
multiple views of range and color images to be integrated into a unified 3D model. The integration process uses a mesh-
based representation of the range data and the advantages of the mesh-based approach over a volumetric approach are
mentioned. First, two meshes, corresponding to range images taken from two different viewpoints, are registered to the
same world coordinate system and then integrated. This process is repeated until integration of all the views. The integration
is straightforward unless the two triangle meshes overlap. The overlapped measurements are detected and the less confident
triangles are removed based on their distance from and orientation relative to the camera viewpoint. After removing the
overlapping patches, the meshes are seamed together to build a single 3D model. The model is incrementally updated after
each new viewpoint is integrated. The color images are used as texture in the finished scene model. The results show that
the approach is efficient for the integration of large, multimodal data sets.
Keywords: Range images, surface mesh, view integration, multisensor fusion
Three dimensional object and environment reconstruction is an increasingly important topic in the field of computer vision.


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


Collections: Computer Technologies and Information Sciences