Zobrazeno 1 - 6
of 6
pro vyhledávání: '"David A. Castelow"'
Publikováno v:
Alvey Vision Conference
The paper describes the combination of several novel algorithms into a system that obtains visual motion from a sequence of images and uses it to recover the three-dimensional (3D) geometry and 3D motion of polyhedral objects relative to the sensor.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b45e7fa8011c31c7d69b450dcffe978
https://doi.org/10.1016/0262-8856(88)90006-6
https://doi.org/10.1016/0262-8856(88)90006-6
Publikováno v:
SPIE Proceedings.
A binocular stereo vision system has been used to demonstrate freespace determination for local navigation of a laboratory robot vehicle, and object recognition, location and tracking for docking of the vehicle with known objects. Experiments on the
Autor:
David A. Castelow, A. J. Rérolle
Publikováno v:
BMVC91 ISBN: 9783540197157
BMVC
BMVC
This paper describes the design of a system for estimating the pose of a camera mounted on a vehicle which moves over a flat floor. The system has been designed to work in conjunction with an obstacle avoidance scheme. Measurements are derived from a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b62ffecbfaa73ce7941880699b4fa8a
https://doi.org/10.1007/978-1-4471-1921-0_58
https://doi.org/10.1007/978-1-4471-1921-0_58
Publikováno v:
Parallel Computing. 8:3-17
Parallel implementations of a number of computer vision algorithms for visual reconstruction and matching are described. The algorithms chosen range in complexity from those requiring only image correlation and other simple operations to more sophist
Publikováno v:
International Journal of Computer Vision. 3:181-208
This paper describes the combination of several novel algorithms into a system that obtains visual motion from a sequence of images and uses it to recover a three-dimensional description of the motion and geometry of the scene in terms of moving exte
Publikováno v:
Alvey Vision Conference
A relaxation algorithm for the computation of optic flow at edge elements (edgels) is presented. Flow is estimated only at intensity edges of the image. Edgels, extracted from an intensity image, are used as the basis for the algorithm. A matching st