We pmpose a heuristic approach for detection ofeyes in close-up images. The experimental images are stereorypiral mug shot faces which can be expected in applications offace recog...
Thilak R. Kumar, S. Kumar Raja, A. G. Ramakrishnan
Successful image reconstruction requires the recognition of a scene and the generation of a clean image of that scene. We propose to use recurrent neural networks for both analysi...
We describe a mid-level approach for action recognition. From an input video, we extract salient spatio-temporal structures by forming clusters of trajectories that serve as candi...
In this work a new method is proposed for coding artifact reduction of MPEG compressed video sequences. The method makes use of a simple cost-effective technique that allows the b...
Abstract. This paper presents anovel variational method forimage segmentation that uni es boundary and region-based information sources under the Geodesic Active Region framework. ...