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Content Provider | IEEE Xplore Digital Library |
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Author | Demirdjian, D. Horaud, R. |
Copyright Year | 1999 |
Description | Author affiliation: GRAVIR-IMAG, INRIA, St. Martin, France (Demirdjian, D.) |
Abstract | Given a sequence of pairs of images gathered with an uncalibrated stereo camera pair and given a set of point-to-point correspondences between, these image pairs, we describe a method that segments the observed scene into static and moving objects while it rejects badly matched points. Unlike many approaches which were suggested in the past, the method allows for both motion of the camera pair (egomotion) and non rigid scenes (scenes composed of static objects as well as objects undergoing various motions). First we establish the projective framework enabling us to characterize rigid motion in projective space. Second we use this characterization in conjunction with a robust estimation technique to determine egomotion. Third we describe a method based on data classification which further considers the non-static scene points anal groups them into several moving objects. Finally we show some preliminary experiments involving a moving stereo head observing both static and moving objects. |
Starting Page | 2 |
Ending Page | 8 |
File Size | 1028766 |
Page Count | 7 |
File Format | |
ISBN | 0769501494 |
ISSN | 10636919 |
DOI | 10.1109/CVPR.1999.786909 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 1999-06-23 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Layout Image segmentation Cameras Robustness Motion estimation Image motion analysis Motion segmentation Computer vision Head Object detection |
Content Type | Text |
Resource Type | Article |
Subject | Computer Vision and Pattern Recognition Software |
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