Two-view vision system for 3-D texture recovery

Yu Xiaohan; Juha Ylä-Jääski

doi:10.1117/12.45522

Two-view vision system for 3-D texture recovery

Yu Xiaohan, Juha Ylä-Jääski

VTT Technical Research Centre of Finland

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

Abstract

Based on a two-view vision system technique and basic geometrical principles, a new algorithm for 3D texture recovery is proposed in this paper. The basic principle is to acquire two projected images from a surface and derive the characteristic line vector from each projection followed by the estimation of the normal vector of the surface. Also a new method for the estimation of the characteristic line vector is presented, called the fanshape pyramid structure algorithm. The algorithm has proved to superior to the traditional spectrum method. It can easily be extended to the multiview case or to the processing of image sequences in order to yield an improved estimation. In addition, the algorithm offers reduced computation and a simple structure for parallel implementation.

Original language	English
Title of host publication	Applications of Artificial Intelligence IX
Publisher	International Society for Optics and Photonics SPIE
Pages	834 - 842
Number of pages	9
DOIs	https://doi.org/10.1117/12.45522
Publication status	Published - 1991
MoE publication type	A4 Article in a conference publication
Event	International Conference on Thermal Sensing and Imaging Diagnostic Applications (Thermosense XIII) - Orlando, United States Duration: 1 Apr 1991 → 5 Apr 1991

Publication series

Series	Proceedings of SPIE
Volume	1468

Conference

Conference	International Conference on Thermal Sensing and Imaging Diagnostic Applications (Thermosense XIII)
Abbreviated title	Orlando '91
Country	United States
City	Orlando
Period	1/04/91 → 5/04/91

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Xiaohan, Y., & Ylä-Jääski, J. (1991). Two-view vision system for 3-D texture recovery. In Applications of Artificial Intelligence IX (pp. 834 - 842). International Society for Optics and Photonics SPIE. Proceedings of SPIE, Vol.. 1468 https://doi.org/10.1117/12.45522

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title = "Two-view vision system for 3-D texture recovery",

abstract = "Based on a two-view vision system technique and basic geometrical principles, a new algorithm for 3D texture recovery is proposed in this paper. The basic principle is to acquire two projected images from a surface and derive the characteristic line vector from each projection followed by the estimation of the normal vector of the surface. Also a new method for the estimation of the characteristic line vector is presented, called the fanshape pyramid structure algorithm. The algorithm has proved to superior to the traditional spectrum method. It can easily be extended to the multiview case or to the processing of image sequences in order to yield an improved estimation. In addition, the algorithm offers reduced computation and a simple structure for parallel implementation.",

author = "Yu Xiaohan and Juha Yl{\"a}-J{\"a}{\"a}ski",

note = "Project code: GRAT435; International Conference on Thermal Sensing and Imaging Diagnostic Applications (Thermosense XIII), Orlando '91 ; Conference date: 01-04-1991 Through 05-04-1991",

year = "1991",

doi = "10.1117/12.45522",

language = "English",

series = "Proceedings of SPIE",

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Xiaohan, Y & Ylä-Jääski, J 1991, Two-view vision system for 3-D texture recovery. in Applications of Artificial Intelligence IX. International Society for Optics and Photonics SPIE, Proceedings of SPIE, vol. 1468, pp. 834 - 842, International Conference on Thermal Sensing and Imaging Diagnostic Applications (Thermosense XIII), Orlando, United States, 1/04/91. https://doi.org/10.1117/12.45522

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AU - Xiaohan, Yu

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PY - 1991

Y1 - 1991

N2 - Based on a two-view vision system technique and basic geometrical principles, a new algorithm for 3D texture recovery is proposed in this paper. The basic principle is to acquire two projected images from a surface and derive the characteristic line vector from each projection followed by the estimation of the normal vector of the surface. Also a new method for the estimation of the characteristic line vector is presented, called the fanshape pyramid structure algorithm. The algorithm has proved to superior to the traditional spectrum method. It can easily be extended to the multiview case or to the processing of image sequences in order to yield an improved estimation. In addition, the algorithm offers reduced computation and a simple structure for parallel implementation.

AB - Based on a two-view vision system technique and basic geometrical principles, a new algorithm for 3D texture recovery is proposed in this paper. The basic principle is to acquire two projected images from a surface and derive the characteristic line vector from each projection followed by the estimation of the normal vector of the surface. Also a new method for the estimation of the characteristic line vector is presented, called the fanshape pyramid structure algorithm. The algorithm has proved to superior to the traditional spectrum method. It can easily be extended to the multiview case or to the processing of image sequences in order to yield an improved estimation. In addition, the algorithm offers reduced computation and a simple structure for parallel implementation.

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M3 - Conference article in proceedings

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