Two-view vision system for 3-D texture recovery

Yu Xiaohan, Juha Ylä-Jääski

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-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 languageEnglish
Title of host publicationApplications of Artificial Intelligence IX
PublisherInternational Society for Optics and Photonics SPIE
Pages834 - 842
Number of pages9
DOIs
Publication statusPublished - 1991
MoE publication typeA4 Article in a conference publication
EventInternational Conference on Thermal Sensing and Imaging Diagnostic Applications (Thermosense XIII) - Orlando, United States
Duration: 1 Apr 19915 Apr 1991

Publication series

SeriesProceedings of SPIE
Volume1468

Conference

ConferenceInternational Conference on Thermal Sensing and Imaging Diagnostic Applications (Thermosense XIII)
Abbreviated titleOrlando '91
CountryUnited States
CityOrlando
Period1/04/915/04/91

Fingerprint

Textures
Recovery
Processing

Cite this

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
Xiaohan, Yu ; Ylä-Jääski, Juha. / Two-view vision system for 3-D texture recovery. Applications of Artificial Intelligence IX. International Society for Optics and Photonics SPIE, 1991. pp. 834 - 842 (Proceedings of SPIE, Vol. 1468).
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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

Two-view vision system for 3-D texture recovery. / Xiaohan, Yu; Ylä-Jääski, Juha.

Applications of Artificial Intelligence IX. International Society for Optics and Photonics SPIE, 1991. p. 834 - 842 (Proceedings of SPIE, Vol. 1468).

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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