Image description and 3-D reconstruction from image trajectories ofrotational motion
Sawheny, H.S.
Oliensis, J.
Hanson, A.R.
IBM Almaden Res. Center, San Jose, CA;
This paper appears in: Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publication Date: Sep 1993
Volume: 15,
Issue: 9
On page(s): 885-898
ISSN: 0162-8828
References Cited: 35
CODEN: ITPIDJ
INSPEC Accession Number: 4526018
Digital Object Identifier: 10.1109/34.232075
Current Version Published: 2002-08-06
Abstract
A new technique for reconstructing the 3-D structure and motion of
a scene undergoing relative rotational motion with respect to the camera
is discussed. Given image correspondences of point features tracked over
many frames, a two-stage technique for reconstruction is presented. A
grouping algorithm that exploits spatio-temporal constraints of the
common motion to achieve a reliable description of discrete point
correspondences as curved trajectories in the image plane is developed.
In contrast, trajectories fitted to points independent of each other
lead to arbitrary image descriptions and very inaccurate 3-D parameters.
A new closed-form solution, under perspective projection, for the 3-D
motion and location of points from the computed image trajectories is
also presented. Both stages are applied to real image sequences with
good results. This approach represents a first step in a longer-term
research effort examining the role of explicit spatio-temporal
organization in the interpretation of scenes from dynamic images
Index
Terms
Available to subscribers and IEEE members.
References
Available to subscribers and IEEE members.
Citing Documents
Available to subscribers and IEEE members.
Cart
