This paper presents a learning based approach to tracking articulated human body motion from a single camera. In order to address the problem of pose ambiguity, a one-to-many mappi...
The parameters estimated by Structure from Motion SFM contain inherent indeterminacies which we call gauge freedoms. Under a perspective camera, shape and motion parameters are o...
This paper presents a new approach to image-based guidance of a needle or surgical tool during percutaneous procedures. The method is based on visual servoing. It requires no prio...
Nassir Navab, Benedicte Bascle, Michael H. Loser, ...
We address the problem of automatically learning object models for recognition and pose estimation. In contrast to the traditional approach, we formulate the recognition problem a...
Reliable recognition of objects is an important capabaility in the progress towards getting agents to accomplish and assist in a variety of useful tasks such as search and rescue ...