Authors:
Jamil Draréni
1
;
Sébastien Roy
1
and
Peter Sturm
2
Affiliations:
1
DIRO, Universite de Montreal, Canada
;
2
INRIA Rhone-Alpes, France
Keyword(s):
Video projector calibration, Planar calibration, Focal estimation, Structured light, Photometric stereo.
Related
Ontology
Subjects/Areas/Topics:
Active and Robot Vision
;
Applications
;
Computer Vision, Visualization and Computer Graphics
;
Geometry and Modeling
;
Human-Computer Interaction
;
Image Formation and Preprocessing
;
Image-Based Modeling
;
Methodologies and Methods
;
Motion and Tracking
;
Motion, Tracking and Stereo Vision
;
Multi-View Geometry
;
Pattern Recognition
;
Physiological Computing Systems
;
Software Engineering
;
Stereo Vision and Structure from Motion
Abstract:
In this paper we address the problem of geometric video projector calibration using a markerless planar surface (wall) and a partially calibrated camera. Instead of using control points to infer the camera-wall orientation, we find such relation by efficiently sampling the hemisphere of possible orientations. This process is so fast that even the focal of the camera can be estimated during the sampling process. Hence, physical grids and full knowledge of camera parameters are no longer necessary to calibrate a video projector.