Publication Details
Self-Consistency: A Novel Approach to Characterizing the Accuracy and Reliability of Point Correspondence Algorithmsby Leclerc, Y. G. and Luong, Q.-T. and Fua, P.in Proceedings of the DARPA Image Understanding Workshop Address: Monterey, CaliforniaNov 1998.
Self-Consistency: A Novel Approach to Characterizing the Accuracy and Reliability of Point Correspondence Algorithms
by Leclerc, Y. G. and Luong, Q.-T. and Fua, P.
in Proceedings of the DARPA Image Understanding Workshop
Continuous Terrain Modeling with Applications to Change Detection The purpose of this project is to develop a robust and reliable method of detecting changes in the 3-D shape of terrain given sets of aerial/satellite images taken at different times.
©2008 SRI International, 333 RavenswoodAvenue, Menlo Park, CA 94025-3493 SRI International is a nonprofit corporation. Privacy policy
