DocumentCode :
935421
Title :
Image description and 3-D reconstruction from image trajectories of rotational motion
Author :
Sawheny, H.S. ; Oliensis, John ; Hanson, Allen R.
Author_Institution :
IBM Almaden Res. Center, San Jose, CA, USA
Volume :
15
Issue :
9
fYear :
1993
fDate :
9/1/1993 12:00:00 AM
Firstpage :
885
Lastpage :
898
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
Keywords :
image reconstruction; 3-D reconstruction; closed-form solution; curved trajectories; discrete point correspondences; grouping algorithm; image description; image trajectories; perspective projection; rotational motion; spatio-temporal constraints; two-stage technique; Cameras; Closed-form solution; Curve fitting; Image reconstruction; Image sequence analysis; Image sequences; Layout; Motion analysis; Robot vision systems; Three dimensional displays;
fLanguage :
English
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher :
ieee
ISSN :
0162-8828
Type :
jour
DOI :
10.1109/34.232075
Filename :
232075
Link To Document :
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