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» Computing Visual Attention from Scene Depth
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128
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CVPR
2007
IEEE
16 years 5 months ago
Monocular and Stereo Methods for AAM Learning from Video
The active appearance model (AAM) is a powerful method for modeling deformable visual objects. One of the major drawbacks of the AAM is that it requires a training set of pseudo-d...
Jason Saragih, Roland Göcke
MM
2009
ACM
199views Multimedia» more  MM 2009»
15 years 8 months ago
Consumer video retargeting: context assisted spatial-temporal grid optimization
Pervasive multimedia devices require accurate video retargeting, especially in connected consumer electronics platforms. In this paper, we present a context assisted spatialtempor...
Liang Shi, Jinqiao Wang, Lingyu Duan, Hanqing Lu
ICPR
2006
IEEE
16 years 4 months ago
Removing Temporal Stationary Blur in Route Panoramas
The Route Panorama is a continuous, compact and complete image representation of scenes along a route. It is generated continuously from reading a preset line in a camera frame th...
Jiang Yu Zheng, Min Shi
CVPR
2011
IEEE
14 years 11 months ago
Multiview Specular Stereo Reconstruction of Large Mirror Surfaces
In deflectometry, the shape of mirror objects is recovered from distorted images of a calibrated scene. While remarkably high accuracies are achievable, state-of-the-art methods ...
Jonathan Balzer, Sebastian Hoefer, Juergen Beyerer
114
Voted
WACV
2008
IEEE
15 years 10 months ago
Likelihood Map Fusion for Visual Object Tracking
Visual object tracking can be considered as a figure-ground classification task. In this paper, different features are used to generate a set of likelihood maps for each pixel i...
Zhaozheng Yin, Fatih Porikli, Robert T. Collins