Result: Diffusion of geometric affinity for surface integration

Title:
Diffusion of geometric affinity for surface integration
Source:
Structural, syntactic, and statistical pattern recognition (joint IAPR international workshops, SSPR 2006 and SPR 2006, Hong Kong, China, August 17-19, 2006)0SSPR 2006. :92-99
Publisher Information:
Berlin: Springer, 2006.
Publication Year:
2006
Physical Description:
print, 10 ref 1
Original Material:
INIST-CNRS
Document Type:
Conference Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Department of Computer Science University of York, YO10 5DD, United Kingdom
ISSN:
0302-9743
Rights:
Copyright 2007 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.19151958
Database:
PASCAL Archive

Further Information

A combinatorial method is used to reconstruct a surface by integrating a field of surface normals. An affinity function is defined over pairs of adjacent locations. This function is based on the surface's principal curvature directions, which are intrinsic and can be estimated from the surface normals. The values of this locally supported function are propagated over the field of surface normals using a diffusion process. The surface normals are then regularised, by computing the weighted sum of the affinity evolved over time. Finally, the surface is reconstructed by integrating along integration paths that maximise the total affinity. Preliminary experimental results are shown for different degrees of evolution under the presence of noise.