Estimating 3-D body parameters from reflection component separating imagery: a performance analysis

J.C. Glas; F. van der Heijden

doi:10.1109/ISCV.1995.477037

Estimating 3-D body parameters from reflection component separating imagery: a performance analysis

J.C. Glas, F. van der Heijden

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

1 Citation (Scopus)

40 Downloads (Pure)

Abstract

Iterative least-squares estimation requires accurate reflectance models to retrieve geometrical parameters of 3-D objects from an image projection. We investigate the use of separating the diffuse (body) reflection from the specular (surface) reflection, where the latter is responsible for image highlights. The performance of several models has been analysed by comparing local higher-order derivatives of the least-squares error function. Experiments show that the (smooth) diffuse component yields the best convergence properties, while the (sharp) specular component cast be utilized to improve noise insensitivity

Original language	English
Title of host publication	Proceedings of the International Symposium on Computer Vision - ISCV
Place of Publication	Piscataway, NJ
Publisher	IEEE
Pages	413-418
Number of pages	6
ISBN (Print)	0-8186-7190-4
DOIs	https://doi.org/10.1109/ISCV.1995.477037
Publication status	Published - 1995
Event	IEEE International Symposium on Computer Vision 1995 - Coral Gables, United States Duration: 21 Nov 1995 → 23 Nov 1995

Conference

Conference	IEEE International Symposium on Computer Vision 1995
Country	United States
City	Coral Gables
Period	21/11/95 → 23/11/95

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10.1109/ISCV.1995.477037

VanderHeijden1995estimating
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title = "Estimating 3-D body parameters from reflection component separating imagery: a performance analysis",

abstract = "Iterative least-squares estimation requires accurate reflectance models to retrieve geometrical parameters of 3-D objects from an image projection. We investigate the use of separating the diffuse (body) reflection from the specular (surface) reflection, where the latter is responsible for image highlights. The performance of several models has been analysed by comparing local higher-order derivatives of the least-squares error function. Experiments show that the (smooth) diffuse component yields the best convergence properties, while the (sharp) specular component cast be utilized to improve noise insensitivity",

author = "J.C. Glas and {van der Heijden}, F.",

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booktitle = "Proceedings of the International Symposium on Computer Vision - ISCV",

publisher = "IEEE",

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note = "IEEE International Symposium on Computer Vision 1995 ; Conference date: 21-11-1995 Through 23-11-1995",

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Glas, JC & van der Heijden, F 1995, Estimating 3-D body parameters from reflection component separating imagery: a performance analysis. in Proceedings of the International Symposium on Computer Vision - ISCV. IEEE, Piscataway, NJ, pp. 413-418, IEEE International Symposium on Computer Vision 1995, Coral Gables, United States, 21/11/95. https://doi.org/10.1109/ISCV.1995.477037

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AB - Iterative least-squares estimation requires accurate reflectance models to retrieve geometrical parameters of 3-D objects from an image projection. We investigate the use of separating the diffuse (body) reflection from the specular (surface) reflection, where the latter is responsible for image highlights. The performance of several models has been analysed by comparing local higher-order derivatives of the least-squares error function. Experiments show that the (smooth) diffuse component yields the best convergence properties, while the (sharp) specular component cast be utilized to improve noise insensitivity

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