Publication Type |
Journal Article |
School or College |
College of Engineering |
Department |
Computing, School of |
Creator |
Hansen, Charles D. |
Other Author |
Ayache, Nicolas; Lustman, Francis |
Title |
Efficient depth estimation using trinocular stereo |
Date |
1988 |
Description |
We present recent advancements in our passive trinocular stereo system. These include a technique for calibrating and rectifying in a very efficient and simple manner the triplets of images taken for trinocular stereovision systems. After the rectification of images, epipolar lines are parallel to the axes of the image coordinate frames. Therefore, potential matches between the three images satisfy simpler relations, allowing for a less complicated and more efficient matching algorithm. We also describe a more robust and general control strategy now employed in our trinocular stereo system. We have also developed an innovative method for the reconstruction of 3-D segments which provides better results and a new validation technique based on the observation that neighbors in the image should be neighbors in space. Experiments are presented demonstrating these advancements. |
Type |
Text |
Publisher |
International Society for Optical Engineering (SPIE) |
Journal Title |
SPIE Conference on Intelligent Robots |
First Page |
124 |
Last Page |
31 |
Subject |
Trinocular stereo; Stereovision |
Subject LCSH |
Computer vision; Stereoscopic views |
Language |
eng |
Bibliographic Citation |
Hansen, C. D., Ayache, N., & Lustman, F. (1988). Efficient depth estimation using trinocular stereo. SPIE Conference on Intelligent Robots, 124-31. November. |
Rights Management |
(c)Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic electronic or print reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited. http://dx.doi.org/[INSERT DOI] |
Format Medium |
application/pdf |
Format Extent |
754,625 bytes |
Identifier |
ir-main,14727 |
ARK |
ark:/87278/s6cr6bpw |
Setname |
ir_uspace |
ID |
704248 |
Reference URL |
https://collections.lib.utah.edu/ark:/87278/s6cr6bpw |