Paper
1 February 1991 Evaluation of a pose estimation algorithm using single perspective view
T. Chandra, Mongi A. Abidi
Author Affiliations +
Proceedings Volume 1382, Intelligent Robots and Computer Vision IX: Neural, Biological, and 3D Methods; (1991) https://doi.org/10.1117/12.25234
Event: Advances in Intelligent Robotics Systems, 1990, Boston, MA, United States
Abstract
In [1 we have introduced a new pose eslimalion algoriihm based on a ierahedravolume measuremeni meihod. In This paper we preseni an exiended iheorelical and experinienal evalualion of This algorithm. The pose esimaion iechnique exploits ihe redundancy in the georneric informaiion inherent in the daia io minimize errors in Ihe recovery of the pose of a vision system. The resuUs of This study show among other Things ha errors in the pose recovery are sensiiive io he exact coordinales of image poinis. These errors increase drasiically as the camera is moved awayfrom the argeL To correciforihis sensiiviy an enhanced version ofihis algoriihm based on image/shape resoraion is introduced. This enhancement ulilizes a Conjugate Gradieni based lechnique io minimize the effect of errors inhereni in he image daia. This enhanced technique is lesied on images of synihelic daia and of real world scenes. These experimenis show Thai a significant improvemeni of he solulion o The pose can be achieved by this technique. 1
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
T. Chandra and Mongi A. Abidi "Evaluation of a pose estimation algorithm using single perspective view", Proc. SPIE 1382, Intelligent Robots and Computer Vision IX: Neural, Biological, and 3D Methods, (1 February 1991); https://doi.org/10.1117/12.25234
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Cameras

Detection and tracking algorithms

Robots

Computer vision technology

Machine vision

Robot vision

Image processing

RELATED CONTENT


Back to Top