Active learning is a generic approach to accelerate training of classifiers in order to achieve a higher accuracy with a small number of training examples. In the past, simple ac...
Abstract. This paper presents an innovative architecture for a reconfigurable device that allows single cycle context switching and single cycle random access to the unified on-chi...
Reetinder P. S. Sidhu, Sameer Wadhwa, Alessandro M...
This work presents a marker-less motion capture system that incorporates an approach to smoothly adapt a generic model mesh to the individual shape of a tracked person. This is don...
In this paper, a new adaptive method for Catmull-Clark subdivision is introduced. Adaptive subdivision refines specific areas of a model according to user or application needs. ...
In this paper an objective metric to measure the perceptual quality of watermarked 3D meshes is presented. The metric, which is based on a black-box approach, relies on the measur...