Authors:
J. Sánchez
and
D. Borro
Affiliation:
CEIT and TECNUN (University of Navarra), Spain
Keyword(s):
Augmented Reality, Feature tracking, 3D Reconstruction.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Computer Vision, Visualization and Computer Graphics
;
Geometry and Modeling
;
Human-Computer Interaction
;
Image-Based Modeling
;
Matching Correspondence and Flow
;
Methodologies and Methods
;
Motion and Tracking
;
Motion, Tracking and Stereo Vision
;
Pattern Recognition
;
Physiological Computing Systems
;
Software Engineering
Abstract:
In this paper we present an algorithm to calculate the camera motion in a video sequence. Our method can search and track feature points along the video sequence, calibrate pinhole cameras and estimate the camera motion. In the first step, a 2D feature tracker finds and tracks points in the video. Using this information, outliers are detected using epipolar geometry robust estimation techniques. Finally, the geometry is refined using non linear optimization methods obtaining the camera’s intrinsic and extrinsic parameters. Our approach does not need to use markers and there are no geometrical constraints in the scene either. Thanks to the calculated camera pose it is possible to add virtual objects in the video in a realistic manner.