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» Computing Visual Attention from Scene Depth
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CVPR
2007
IEEE
16 years 2 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 5 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 1 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
125
Voted
CVPR
2011
IEEE
14 years 9 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
90
Voted
WACV
2008
IEEE
15 years 7 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