Due to the increasing amount of 3D data for various applications there is a growing need for classification and search in such databases. As the representation of 3D objects is no...
Face is a perceptually symmetric object; however, it often appears not so in captured image due to the rotation in depth within the 3D space. In this paper, we explore the invaria...
Local invariant feature based methods have been proven to be effective in computer vision for object recognition and learning. But for an image, the number of points detected and ...
: This paper introduces use of range information acquired by a CSEM SwissRanger SR-2 camera for view invariant recognition of one and two arms gestures. The range data enables moti...
We present a method to learn and recognize object class models from unlabeled and unsegmented cluttered scenes in a scale invariant manner. Objects are modeled as flexible constel...