We have developed a method for recognizing and tracking known three-dimensional objects in scene images captured from a user’s viewpoint. The method uses multiple color histogra...
This paper presents an efficient, robust and fully automatic real-time system for 3D object pose tracking in image sequences. The developed application integrates two main componen...
Determining the occurrence of an event is fundamental to developing systems that can observe and react to them. Often, this determination is based on collecting video and/or audio...
Dmitry N. Zotkin, Ramani Duraiswami, Larry S. Davi...
In this paper, we propose a method of estimating camera parameters for annotating 3D virtual objects with a wearable vision system. The proposed method tracks natural feature poin...
This paper proposes a method of determining human head poses from a sequence of images. The main idea is to use some features in a 3D head model to generate a virtual fronto-paral...