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2007 Technical Reports

Polygonal meshing for stereo video surface reconstruction

Sunbir Gill

Technical Report CSE-2007-05

York University

October 1, 2007


Stereo video surface reconstruction is an emerging 3D surface scanning technique that is non-invasive, mobile, and cost-effective relative to laser-based technology Unfortunately stereo video-based point-clouds are often noisier than those produced from laser-based scanners and are sub ject to areas of sparse point information corresponding to highly specular or textureless surfaces. This complicates the process of constructing efficient polygonal meshes from these point-clouds. This paper develops an approach to meshing for stereo video surface reconstruction that addresses these issues and, by exploiting the known egomotion of the stereo sensor, obtains surface normal and texture information for rendering. An algorithm is developed that produces a repaired, compact, smoothed, textured and normal mapped mesh representation of stereo video point-cloud datasets. This widens the range of applications for which stereo video reconstruction can be applied and opens the possibility of using stereo video to generate models for real-time rendering applications.

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