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SOLUTION OF CAMERA REGISTRATION PROBLEM VIA 3D-2D PARAMETERIZED MODEL MATCHING FOR ON-ROAD NAVIGATION.
- Source :
-
International Journal of Image & Graphics . Jan2004, Vol. 4 Issue 1, p3-20. 18p. - Publication Year :
- 2004
-
Abstract
- This paper presents a dynamical solution of camera registration problem for on-road navigation applications via a 3D-2D parameterized model matching algorithm. The traditional camera'fs three dimensional (3D) position and pose estimation algorithms have always employed fixed and known-structure models as well as the depth information to obtain the 3D-2D correlations, which is however unavailable for on-road navigation applications since there are no fixed models in the general road scene. With the constraints of road structure and on-road navigation features, this paper presents a 2D digital road-based road shape modeling algorithm. Dynamically generated multi-lane road shape models are used to match real road scenes to estimate the camera 3D position and pose data. Our algorithms have successfully simplified the 3D-2D correlation problem to the 2D-2D road model matching on the projective image. The algorithms proposed in this paper are validated with the experimental results of real road tests under different conditions and types of road. [ABSTRACT FROM AUTHOR]
- Subjects :
- *CAMERAS
*NAVIGATION
*ALGORITHMS
*ESTIMATION theory
*ROADS
*IMAGE processing
Subjects
Details
- Language :
- English
- ISSN :
- 02194678
- Volume :
- 4
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- International Journal of Image & Graphics
- Publication Type :
- Academic Journal
- Accession number :
- 12030819
- Full Text :
- https://doi.org/10.1142/S0219467804001269