Because of the large variation across different environments, a generic classifier trained on extensive data-sets may perform sub-optimally in a particular test environment. In th...
This paper presents geometric invariants of points and their applications under central catadioptric camera model. Although the image has severe distortions under the model, we es...
Abstract. The deformation of applicable surfaces such as sheets of paper satisfies the differential geometric constraints of isometry (lengths and areas are conserved) and vanishin...
Nail A. Gumerov, Ali Zandifar, Ramani Duraiswami, ...
Variation in object shape is an important visual cue for deformable object recognition and classification. In this paper, we present an approach to model gradual changes in the ?-...
We present a method for training a similarity metric from data. The method can be used for recognition or verification applications where the number of categories is very large an...