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A frame-rate conversion (FRC) scheme for increasing the frame-rate of multi-view video for reducing motion blur in hold-type displays is proposed. In order to obtain high quality inter-frames, the proposed method utilizes 3D motion models relying on the 3D scene information extractable from multiview video. First of all, independently moving objects (IMOs) are segmented by using a depth-based object...
In this paper we present a novel method for simultaneously determining three dimensional motion and structure of a non-rigid object from its uncalibrated two dimensional data with Gaussian or non-Gaussian distributions. A non-rigid motion can be treated as a combination of a rigid component and a non-rigid deformation. To reduce the high dimensionality of the deformable structure or shape, we estimate...
We have investigated a technique for recognising faces invariant of facial expressions. We apply multi-linear tensor algebra, which subsumes linear algebra, to analyse and recognise 3D face surfaces. This potent framework possesses a remarkable ability to deal with the shortcomings of principle component analysis in less constrained situations. A set of vector spaces can be used to represent the variation...
Practically all existing approaches to structure and motion computation use only positive image correspondences to verify the camera pose hypotheses. Incorrect epipolar geometries are solely detected by identifying outliers among the found correspondences. Ambiguous patterns in the images are often incorrectly handled by these standard methods. In this work we propose two approaches to overcome such...
In this paper we present a model based method for fast face orientation estimation and pose recovery from a monocular image sequence captured by an uncalibrated camera. To accomplish this method, CANDIDE-3 model is used to construct 3D individual face model manually. Four facial feature points (outer corners of eyes and mouth) are tracked by SIFT algorithm. Taking advantage of these feature points...
Today human motion understanding has become one of the most active research areas in computer vision. This is due to promising applications in areas such as visual surveillance, human performance analysis, computer-human interfaces (robotic interaction with humans), content-based video retrieval/storage and virtual reality. This work is focused on recognizing human actions. A novel motion analysis...
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