by Klette, R and Schluens, K
Abstract:
The paper starts with a review of integration techniques for calculating height maps from dense gradient fields. There exist a few proposals of local integration methods, and two proposals for global optimization. Several experimental evaluations of such integration techniques are discussed in this paper. The examined algorithms received high markings on curved objects but low markings on polyhedral shapes. Locally adaptive approaches are suggested to cope with complex shapes in general. ©2005 Copyright SPIE – The International Society for Optical Engineering.
Reference:
Height data from gradient maps (Klette, R and Schluens, K), In Proceedings of SPIE – The International Society for Optical Engineering, volume 2908, 1996.
Bibtex Entry:
@inproceedings{klette1996heightmaps,
author = "Klette, R and Schluens, K",
booktitle = "Proceedings of SPIE - The International Society for Optical Engineering",
pages = "204--215",
title = "Height data from gradient maps",
volume = "2908",
year = "1996",
abstract = "The paper starts with a review of integration techniques for calculating height maps from dense gradient fields. There exist a few proposals of local integration methods, and two proposals for global optimization. Several experimental evaluations of such integration techniques are discussed in this paper. The examined algorithms received high markings on curved objects but low markings on polyhedral shapes. Locally adaptive approaches are suggested to cope with complex shapes in general. ©2005 Copyright SPIE - The International Society for Optical Engineering.",
doi = "10.1117/12.257265",
issn = "0277-786X",
keyword = "Cornputer vision",
keyword = "Evaluation of algorithms",
keyword = "Gradient fields",
keyword = "Photometric stereo",
keyword = "Potentials",
keyword = "Shape from shading",
keyword = "Surface reconstruction",
language = "eng",
}