Abstract
| 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 | |
| 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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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 proceeding › Conference article in proceedings › Scientific › peer-review
TY - GEN
T1 - Two-view vision system for 3-D texture recovery
AU - Xiaohan, Yu
AU - Ylä-Jääski, Juha
N1 - Project code: GRAT435
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.
U2 - 10.1117/12.45522
DO - 10.1117/12.45522
M3 - Conference article in proceedings
T3 - Proceedings of SPIE
SP - 834
EP - 842
BT - Applications of Artificial Intelligence IX
PB - International Society for Optics and Photonics SPIE
ER -