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SIMULTANEOUS MESH SIMPLIFICATION AND NOISE SMOOTHING OF RANGE D. L. Page, Y. Sun, A. F. Koschan, J. K. Paik, M. A. Abidi
 

Summary: SIMULTANEOUS MESH SIMPLIFICATION AND NOISE SMOOTHING OF RANGE
IMAGES
D. L. Page, Y. Sun, A. F. Koschan, J. K. Paik, M. A. Abidi
Imaging, Robotics, and Intelligent Systems Laboratory
University of Tennessee
Knoxville, Tennessee 37996-2100
ABSTRACT
In this paper, we propose a novel algorithm to smooth and sim-
plify simultaneously range images and also triangle meshes de-
rived from those images. These data sets often suffer from noise
and over-sampling. To overcome these issues, smoothing from im-
age processing and simplification from computer graphics attempt
to minimize noise and reduce complexity, respectively. Typically,
these algorithms are separate and distinct steps, but we combine
them into one algorithm. We employ surface normal voting to
generate robust orientation estimates and then extend the quadric
error metric framework to smooth noise while simplifying the sur-
face. We demonstrate the capabilities of this algorithm with both
synthetic and real data. The proposed algorithm provides signifi-
cant noise smoothing improvement when compared to the standard

  

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

 

Collections: Computer Technologies and Information Sciences