Title :
3D shape recognition and reconstruction based on line element geometry
Author :
Hofer, M. ; Odehnal, B. ; Pottmann, H. ; Steiner, T. ; Wallner, J.
Author_Institution :
Inst. of Discrete Math. & Geometry, TU Wien
Abstract :
This paper presents a new method for the recognition and reconstruction of surfaces from 3D data. Line element geometry, which generalizes both line geometry and the Laguerre geometry of oriented planes, enables us to recognize a wide class of surfaces (spiral surfaces, cones, helical surfaces, rotational surfaces, cylinders, etc.), by fitting linear subspaces in an appropriate seven-dimensional image space. In combination with standard techniques such as PCA and RANSAC, line element geometry is employed to effectively perform the segmentation of complex objects according to surface type. Examples show applications in reverse engineering of CAD models and testing mathematical hypotheses concerning the exponential growth of sea shells
Keywords :
computational geometry; image recognition; image reconstruction; stochastic processes; surface fitting; surface reconstruction; CAD models; Laguerre geometry; RANSAC; exponential growth; line element geometry; linear subspaces; object segmentation; reverse engineering; sea shells; shape recognition; shape reconstruction; Engine cylinders; Geometry; Image recognition; Image reconstruction; Principal component analysis; Sea surface; Shape; Spirals; Surface fitting; Surface reconstruction;
Conference_Titel :
Computer Vision, 2005. ICCV 2005. Tenth IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7695-2334-X
DOI :
10.1109/ICCV.2005.2