The Robotics Institute

Carnegie Mellon Robotics Institute

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Abstract

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.

Notes

Note: Also appeared in Arpa Image Understanding Workshop, Palm Springs, CA, February 1996, pp. 1213-1220.

Text Reference

Robert Collins, "A Space-Sweep Approach to True Multi-Image Matching," IEEE Computer Vision and Pattern Recognition, June, 1996, pp. 358-363.

BibTeX Reference

@inproceedings{Collins_1996_1913,
   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."
}

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