Title :
3D surface topography from intensity images
Author :
Worthington, Philip L. ; Hancock, Edwin R.
Author_Institution :
Dept. of Comput. Sci., York Univ., UK
Abstract :
The paper demonstrates how a new shape from shading scheme can be used to extract topographic information from 2D intensity imagery. The shape-from-shading scheme has two novel ingredients. Firstly, it uses a geometric update procedure which allows the image irradiance equation to be satisfied as a hard constraint. This not only improves the data closeness of the recovered needle-map, but also removes the necessity for extensive parameter tuning. Secondly, we use curvature information to impose topographic constraints on the recovered needle-map. The topographic information is captured using the shape index of J.J. Koenderink and A.J. Van Doorn (1995) and consistency is imposed using a robust error function. We show that the new shape-from-shading scheme leads to a meaningful topographic labelling of 3D surface structures
Keywords :
brightness; computational geometry; feature extraction; 2D intensity imagery; 3D surface structures; 3D surface topography; curvature information; data closeness; geometric update procedure; hard constraint; image irradiance equation; intensity images; recovered needle-map; robust error function; shape from shading scheme; shape index; shape-from-shading scheme; topographic constraint; topographic information; topographic information extraction; topographic labelling; Calculus; Computer science; Equations; Image analysis; Image recognition; Needles; Read only memory; Shape measurement; Surface structures; Surface topography;
Conference_Titel :
Computer Vision, 1999. The Proceedings of the Seventh IEEE International Conference on
Conference_Location :
Kerkyra
Print_ISBN :
0-7695-0164-8
DOI :
10.1109/ICCV.1999.790319