We view the task of change detection as a problem of object recognition from learning. The object is defined in a 3D space where the time is the 3rd dimension. We propose two com...
We present a novel method to transfer speech animation recorded in low resolution videos onto realistic 3D facial models. Unsupervised learning is utilized on a speech video corpus...
Some issues on direct-projected augmented reality (DirectAR) are addressed: the projection may be geometrically distorted due to the non-planar surface (geometric distortion); the ...
Hanhoon Park, Moon-Hyun Lee, Sang-Jun Kim, Jong-Il...
Abstract. This paper presents a motion capture system using two cameras that is capable of estimating a constrained set of human postures in real time. We first obtain a 3D shape ...
In this paper, we propose a novel occlusion invariant face recognition algorithm based on Selective Local Nonnegative Matrix Factorization (S-LNMF) technique. The proposed algorith...
Hyun Jun Oh, Kyoung Mu Lee, Sang Uk Lee, Chung-Hyu...
Performing segmentation of narrow, elongated structures with low contrast boundaries is a challenging problem. Boundaries of these structures are difficult to be located when noise...
With a large number of surveillance cameras, it is not an easy task to determine which camera should be monitored and which region of the camera images should be checked so that al...
This paper describes the use of computer vision to support the operation of a handheld projector, and describes four applications. Projectors in the past have been used as fixed d...
Akash Kushal, Jeroen van Baar, Ramesh Raskar, Paul...
Abstract. This paper addresses the problem of articulated motion tracking from image sequences. We describe a method that relies on an explicit parameterization of the extremal con...