Paper
4 February 2010 3D polygonal representation of dense point clouds by triangulation, segmentation, and texture projection
Author Affiliations +
Proceedings Volume 7526, Three-Dimensional Image Processing (3DIP) and Applications; 75260C (2010) https://doi.org/10.1117/12.840980
Event: IS&T/SPIE Electronic Imaging, 2010, San Jose, California, United States
Abstract
A basic concern of computer graphic is the modeling and realistic representation of three-dimensional objects. In this paper we present our reconstruction framework which determines a polygonal surface from a set of dense points such those typically obtained from laser scanners. We deploy the concept of adaptive blobs to achieve a first volumetric representation of the object. In the next step we estimate a coarse surface using the marching cubes method. We propose to deploy a depth-first search segmentation algorithm traversing a graph representation of the obtained polygonal mesh in order to identify all connected components. A so called supervised triangulation maps the coarse surfaces onto the dense point cloud. We optimize the mesh topology using edge exchange operations. For photo-realistic visualization of objects we finally synthesize optimal low-loss textures from available scene captures of different projections. We evaluate our framework on artificial data as well as real sensed data.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Touraj Tajbakhsh "3D polygonal representation of dense point clouds by triangulation, segmentation, and texture projection", Proc. SPIE 7526, Three-Dimensional Image Processing (3DIP) and Applications, 75260C (4 February 2010); https://doi.org/10.1117/12.840980
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KEYWORDS
Clouds

Optical spheres

3D modeling

Cameras

Image segmentation

3D image processing

Matrices

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