Isaac Rehg

Recognizing Objects From Any View With Object and Viewer-Centered Representations

In this paper, we tackle an important task in computer vision: any view object recognition. In both training and testing, for each object instance, we are only given its 2D image viewed from an unknown angle. We propose a computational framework by designing object and viewer-centered neural network…