This paper describes a probabilistic method of aligning and merging range images. We formulate these issues as problems of estimating the maximum likelihood. By examining the erro...
This paper presents a novel local image descriptor that is robust to general image deformations. A limitation with traditional image descriptors is that they use a single support ...
Many recent research efforts have been devoted to the use of commodity hardware for solving computationallyintensive scientific problems. Among such problems, hyperspectral imagi...
Javier Setoain, Christian Tenllado, Manuel Prieto,...
Medical image fusion is becoming increasingly popular for enhancing diagnostic accuracy by intelligently ‘fusing’ information obtained from two different images. These images ...
Girish Gopalakrishnan, S. V. Bharath Kumar, Ajay N...
This paper develops a theory of frequency domain invariants in computer vision. We derive novel identities using spherical harmonics, which are the angular frequency domain analog ...