A two-stage robust statistical method for temporal registration from features of various type
- 27 November 2002
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 261-266
- https://doi.org/10.1109/iccv.1998.710728
Abstract
A model registration system capable of tracking an object, the model of which is known, in an image sequence is presented. It integrates tracking, pose determination and updating of the visible features. The heart of our system is the pose computation method, which handles various features (points, lines and free-form curves) in a very robust way and is able to give a correct estimate of the pose even when tracking errors occur. The reliability of the system is shown on an augmented reality project.Keywords
This publication has 15 references indexed in Scilit:
- Robust line-based pose enumeration from a single imagePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Model-based object pose in 25 lines of codeInternational Journal of Computer Vision, 1995
- Robust Methods for Estimating Pose and a Sensitivity AnalysisComputer Vision and Image Understanding, 1994
- Projective Pose Estimation of Linear and Quadratic Primitives in Monocular Computer VisionCVGIP: Image Understanding, 1993
- Robust model-based motion tracking through the integration of search and estimationInternational Journal of Computer Vision, 1992
- On recognizing and positioning curved 3-D objects from image contoursPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1990
- Pose estimation from corresponding point dataIEEE Transactions on Systems, Man, and Cybernetics, 1989
- Robust Regression and Outlier DetectionPublished by Wiley ,1987
- A Computational Approach to Edge DetectionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1986
- Robust StatisticsPublished by Wiley ,1981