In this paper, human facial articulation models are derived from frontal and side view image sequences using connected vibrations non-rigid motion tracking algorithm. First, a 3D ...
This paper presents a novel motion localization approach for recognizing actions and events in real videos. Examples include StandUp and Kiss in Hollywood movies. The challenge ca...
Motion capture data from human subjects exhibits considerable redundancy. In this paper, we propose novel methods for exploiting this redundancy. In particular, we set out to find...
Guodong Liu, Jingdan Zhang, Wei Wang 0010, Leonard...
In this paper, we propose a method to incrementally superresolve 3D facial texture by integrating information frame by frame from a video captured under changing poses and illumin...
Jiangang Yu, Bir Bhanu, Yilei Xu, Amit K. Roy Chow...
Characteristics of the 2D shape deformation in human motion contain rich information for human identification and pose estimation. In this paper, we introduce a framework for sim...