A New and Compact Algorithm For Simultaneously Matching and Estimation
Feature matching and transformation estimation are two fundamental problems in computer vision research. These two problems are often related and even interlocked, solving one is solving the other's precondition. Such makes them hard to solve. In order to overcome such difficulty, this paper presents a new and compact algorithm where less than 10 lines of matlab codes suffice. We show that the solutions of correspondence and transformation are merely two factors of two Grammian matrices, and...[Show more]
|Collections||ANU Research Publications|
|Source:||Proceedings of the 2004 IEEE International Conference on Acoustics, Speech and Signal Processing|
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