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Control of Polygonal Mesh Resolution for 3-D Computer Vision

Andrew Johnson and Martial Hebert
Tech. Report, CMU-RI-TR-96-20, Robotics Institute, Carnegie Mellon University, April, 1997

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Abstract

A common representation in 3-D computer vision is the polygonal surface mesh because meshes can model objects of arbitrary shape and are easily constructed from sensed 3-D data. The resolution of a surface mesh is the overall spacing between vertices that comprise the mesh. Because sensed 3-D points are often unevenly distributed, the resolution of a surface mesh is often poorly defined. We present an algorithm that transforms a mesh with an uneven spacing between vertices into a mesh with a more even spacing between vertices, thus improving its definition of resolution. In addition, we show how the algorithm can be used to control the resolution of surface meshes, making them amenable to multi-resolution approaches in computer vision. The structure of our algorithm is modeled on iterative

BibTeX Reference
@techreport{Johnson-1997-14367,
title = {Control of Polygonal Mesh Resolution for 3-D Computer Vision},
author = {Andrew Johnson and Martial Hebert},
sponsor = {DOE},
grantID = {DE-AC21-92MC29104},
school = {Robotics Institute , Carnegie Mellon University},
month = {April},
year = {1997},
number = {CMU-RI-TR-96-20},
address = {Pittsburgh, PA},
}
2017-09-13T10:50:06+00:00