In this paper a new solution for the single sample problem in low resolution face recognition is proposed. The proposed solution uses an enhanced virtual pose generation method to...
We present a framework for learning object representations for fast recognition of a large number of different objects. Rather than learning and storing feature representations s...
Different data acquisition methods are tailored at extracting particular characteristics from a scene and by combining their results a more robust scene description can be created...
It is common in object recognition algorithms based on viewpoint consistency to find object poses that align many of the object features with features extracted from a search imag...
We present a probabilistic framework for recognizing objects in images of cluttered scenes. Hundreds of objects may be considered and searched in parallel. Each object is learned f...