DocumentCode :
2072088
Title :
Triangle mesh-based surface modeling using adaptive smoothing and implicit surface texture integration
Author :
Sun, Y. ; Page, D.L. ; Paik, J.K. ; Koschan, A. ; Abidi, M.A.
Author_Institution :
Imaging, Robotics, & Intelligent Syst. Lab., Tennessee Univ., Knoxville, TN, USA
fYear :
2002
fDate :
2002
Firstpage :
588
Lastpage :
597
Abstract :
Presents a framework of surface modeling from multi-view range data. The input to the algorithms are triangle meshes, each of which is from a single view range scan. The triangle meshes generated from raw data are first processed by the proposed area decreasing flow for surface denoising. Although the proposed flow is mathematically equivalent to the mean curvature flow, it can avoid the difficulty in curvature estimation and provide an optimal flowing step size. We introduce an adaptive triangle mesh smoothing scheme based on crease edge strength of each vertex using tensor voting of the normal vector field inside a geodesic window. The smoothing result makes surface normal estimation more accurate which is then used in surface mesh integration. Based on Hilton´s implicit surface-based method, surfaces from multiple views are integrated into a single 3D model. We incorporate color images to generate textured models. The algorithms are successfully applied to surface modeling from range data using two types of range scanners.
Keywords :
colour; computer vision; edge detection; image reconstruction; image texture; tensors; adaptive smoothing; color images; crease edge strength; curvature estimation; geodesic window; implicit surface texture integration; mean curvature flow; multi-view range data; normal vector field; surface normal estimation; tensor voting; textured models; triangle mesh-based surface modeling; Color; Image reconstruction; Intelligent robots; Laplace equations; Level set; Low pass filters; Smoothing methods; Sun; Surface reconstruction; Surface texture;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
3D Data Processing Visualization and Transmission, 2002. Proceedings. First International Symposium on
Print_ISBN :
0-7695-1521-4
Type :
conf
DOI :
10.1109/TDPVT.2002.1024122
Filename :
1024122
Link To Document :
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