Surface reconstruction from derivatives

Ran Bronstein; Michael Werman; Shmuel Peleg

doi:10.1109/ICPR.1992.201583

Surface reconstruction from derivatives

Ran Bronstein, Michael Werman, Shmuel Peleg

The Rachel and Selim Benin School of Engineering and Computer Science

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

8 Scopus citations

Abstract

Most methods to reconstruct surfaces from their derivatives assume two orthogonal derivatives in perfect registration. We propose an approach to use derivatives in arbitrary directions and to register orthogonal derivatives in case they are not registered. We also develop a method to integrate second derivatives in the reconstruction.

Original language	English
Title of host publication	Conference A
Subtitle of host publication	Computer Vision and Applications
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	391-394
Number of pages	4
ISBN (Print)	081862910X
DOIs	https://doi.org/10.1109/ICPR.1992.201583
State	Published - 1992
Event	11th IAPR International Conference on Pattern Recognition, IAPR 1992 - The Hague, Netherlands Duration: 30 Aug 1992 → 3 Sep 1992

Publication series

Name	Proceedings - International Conference on Pattern Recognition
Volume	1
ISSN (Print)	1051-4651

Conference

Conference	11th IAPR International Conference on Pattern Recognition, IAPR 1992
Country/Territory	Netherlands
City	The Hague
Period	30/08/92 → 3/09/92

Bibliographical note

Publisher Copyright:
© 1992 IEEE.

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10.1109/ICPR.1992.201583

Cite this

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title = "Surface reconstruction from derivatives",

abstract = "Most methods to reconstruct surfaces from their derivatives assume two orthogonal derivatives in perfect registration. We propose an approach to use derivatives in arbitrary directions and to register orthogonal derivatives in case they are not registered. We also develop a method to integrate second derivatives in the reconstruction.",

author = "Ran Bronstein and Michael Werman and Shmuel Peleg",

note = "Publisher Copyright: {\textcopyright} 1992 IEEE.; 11th IAPR International Conference on Pattern Recognition, IAPR 1992 ; Conference date: 30-08-1992 Through 03-09-1992",

year = "1992",

doi = "10.1109/ICPR.1992.201583",

language = "אנגלית",

isbn = "081862910X",

series = "Proceedings - International Conference on Pattern Recognition",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "391--394",

booktitle = "Conference A",

address = "ארצות הברית",

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Bronstein, R, Werman, M & Peleg, S 1992, Surface reconstruction from derivatives. in Conference A: Computer Vision and Applications., 201583, Proceedings - International Conference on Pattern Recognition, vol. 1, Institute of Electrical and Electronics Engineers Inc., pp. 391-394, 11th IAPR International Conference on Pattern Recognition, IAPR 1992, The Hague, Netherlands, 30/08/92. https://doi.org/10.1109/ICPR.1992.201583

Surface reconstruction from derivatives. / Bronstein, Ran; Werman, Michael; Peleg, Shmuel.
Conference A: Computer Vision and Applications. Institute of Electrical and Electronics Engineers Inc., 1992. p. 391-394 201583 (Proceedings - International Conference on Pattern Recognition; Vol. 1).

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

TY - GEN

T1 - Surface reconstruction from derivatives

AU - Bronstein, Ran

AU - Werman, Michael

AU - Peleg, Shmuel

PY - 1992

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AB - Most methods to reconstruct surfaces from their derivatives assume two orthogonal derivatives in perfect registration. We propose an approach to use derivatives in arbitrary directions and to register orthogonal derivatives in case they are not registered. We also develop a method to integrate second derivatives in the reconstruction.

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SN - 081862910X

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BT - Conference A

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 11th IAPR International Conference on Pattern Recognition, IAPR 1992

Y2 - 30 August 1992 through 3 September 1992

ER -

Surface reconstruction from derivatives

Abstract

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