Title :
A two-stage robust statistical method for temporal registration from features of various type
Author :
Simon, G. ; Berger, M.-O.
Author_Institution :
INRIA, Vandoeuvre-les-Nancy, France
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 :
feature extraction; image registration; statistical analysis; augmented reality project; image sequence; pose computation method; pose determination; temporal registration; tracking; tracking errors; two-stage robust statistical method; visible features; Augmented reality; Cameras; Error correction; Heart; Image sequences; Layout; Least squares methods; Predictive models; Robustness; Statistical analysis;
Conference_Titel :
Computer Vision, 1998. Sixth International Conference on
Conference_Location :
Bombay
Print_ISBN :
81-7319-221-9
DOI :
10.1109/ICCV.1998.710728
