IEEE Computer Vision and Pattern Recognition, June, 1996, pp. 358-363.
|The problem of determining feature correspondences across multiple views is considered. The term "true multi-image" matching is introduced to describe techniques that make full and efficient use of the geometric relationships between multiple images and the scene. A true multi-image technique must generalize to any number of images, be of linear algorithmic complexity in the number of images, and use all the images in an equal manner. A new space-sweep approach to true multi-image matching is presented that simultaneously determines 2D feature correspondences and the 3D positions of feature points in the scene. The method is illustrated on a seven-image matching example from the aerial image domain.|
Note: Also appeared in Arpa Image Understanding Workshop, Palm Springs, CA, February 1996, pp. 1213-1220.
|Robert Collins, "A Space-Sweep Approach to True Multi-Image Matching," IEEE Computer Vision and Pattern Recognition, June, 1996, pp. 358-363.|
author = "Robert Collins",
title = "A Space-Sweep Approach to True Multi-Image Matching",
booktitle = "IEEE Computer Vision and Pattern Recognition",
pages = "358-363",
month = "June",
year = "1996",
Notes = "Also appeared in Arpa Image Understanding Workshop, Palm Springs, CA, February 1996, pp. 1213-1220."
|The Robotics Institute is part of the School of Computer Science, Carnegie Mellon University.|
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