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...
We present a system that constructs "implicit shape models" for classes of rigid 3D objects and utilizes these models to estimating the pose of class instances in single...
Abstract. We present a framework and algorithm for tracking articulated motion for humans. We use multiple calibrated cameras and an articulated human shape model. Tracking is perf...
A novel approach is proposed to obtain a record of the patient’s occlusion using computer vision. Data acquisition is obtained using intra-oral video cameras. The technique utili...
Moumen T. Ahmed, Sameh M. Yamany, Elsayed E. Hemay...
Silhouette recognition can reconstruct the three-dimensional pose of a human subject in monocular video so long as the camera's view remains unoccluded by other objects. This ...