Title :
A space-sweep approach to true multi-image matching
Author :
Collins, Robert T.
Author_Institution :
Dept. of Comput., Massachusetts Univ., Amherst, MA, USA
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
Keywords :
computational complexity; feature extraction; image matching; 3D positions; aerial image domain; feature correspondences; geometric relationships; linear algorithmic complexity; multiple images; multiple views; scene; space-sweep approach; true multi-image matching; Cameras; Computer science; Contracts; Image reconstruction; Layout; Lenses; Shape; Stereo image processing; Tracking; Uniform resource locators;
Conference_Titel :
Computer Vision and Pattern Recognition, 1996. Proceedings CVPR '96, 1996 IEEE Computer Society Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
0-8186-7259-5
DOI :
10.1109/CVPR.1996.517097