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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ahuja, N. Abbott, A.L. |
| Copyright Year | 1979 |
| Abstract | An approach to integrating stereo disparity, camera vergence, and lens focus to exploit their complementary strengths and weaknesses through active control of camera focus and orientations is presented. In addition, the aperture and zoom settings of the cameras are controlled. The result is an active vision system that dynamically and cooperatively interleaves image acquisition with surface estimation. A dense composite map of a single contiguous surface is synthesized by automatically scanning the surface and combining estimates of adjacent, local surface patches. This problem is formulated as one of minimizing a pair of objective functions. The first such function is concerned with the selection of a target for fixation. The second objective function guides the surface estimation process in the vicinity of the fixation point. Calibration parameters of the cameras are treated as variables during optimization, thus making camera calibration an integral, flexible component of surface estimation. An implementation of this method is described, and a performance evaluation of the system is presented. An average absolute error of less than 0.15% in estimated depth was achieved for a large surface having a depth of approximately 2 m.< |
| Sponsorship | IEEE Computer Society |
| Starting Page | 1007 |
| Ending Page | 1029 |
| Page Count | 23 |
| File Size | 2909130 |
| File Format | |
| ISSN | 01628828 |
| Volume Number | 15 |
| Issue Number | 10 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1993-10-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Apertures Calibration Cameras Surface reconstruction Image reconstruction Layout Focusing Surface treatment Automatic control Lenses |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Artificial Intelligence Computational Theory and Mathematics Computer Vision and Pattern Recognition Software |
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