Authors:
A. Navarro
;
E. Villarraga
and
J. Aranda
Affiliation:
Technical University of Catalonia, Spain
Keyword(s):
Exterior orientation, motion analysis, hand-eye calibration, pose estimation.
Related
Ontology
Subjects/Areas/Topics:
Computer Vision, Visualization and Computer Graphics
;
Detecting 3D Objects Using Patterns of Motion and Appearance
;
Motion, Tracking and Stereo Vision
;
Retrieval of 3D Objects from Video Sequences
Abstract:
3D scene information obtained from a sequence of images is very useful in a variety of action-perception applications. Most of them require perceptual orientation of specific objects to interact with their environment. In the case of moving objects, the relation between changes in image features derived by 3D transformations can be used to estimate its orientation with respect to a fixed camera. Our purpose is to describe some properties of movement analysis over projected features of rigid objects represented by lines, and introduce a line-based orientation estimation algorithm through rotational motion analysis. Experimental results showed some advantages of this new algorithm such as simplicity and real-time performance. This algorithm demonstrates that it is possible to estimate the orientation with only two different rotations, having knowledge of the transformations applied to the object.