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» Testing of Image Processing Algorithms on Synthetic Data
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NIPS
2008
15 years 5 months ago
Bayesian Kernel Shaping for Learning Control
In kernel-based regression learning, optimizing each kernel individually is useful when the data density, curvature of regression surfaces (or decision boundaries) or magnitude of...
Jo-Anne Ting, Mrinal Kalakrishnan, Sethu Vijayakum...
ICIP
2010
IEEE
15 years 2 months ago
Rapid stereo-vision enhanced face recognition
This paper presents a real-time face recognition system. The system uses a stereo camera to locate, track, and recognize a person's face. Our algorithm improves state-of-the-...
Sergey Kosov, Thorsten Thormählen, Hans-Peter...
IJCV
2002
99views more  IJCV 2002»
15 years 4 months ago
Subjective Surfaces: A Geometric Model for Boundary Completion
We present a geometric model and a computational method for segmentation of images with missing boundaries. In many situations, the human visual system fills in missing gaps in ed...
Alessandro Sarti, Ravi Malladi, James A. Sethian
ICCV
2007
IEEE
16 years 6 months ago
Supervised Learning of Image Restoration with Convolutional Networks
Convolutional networks have achieved a great deal of success in high-level vision problems such as object recognition. Here we show that they can also be used as a general method ...
Viren Jain, Joseph F. Murray, Fabian Roth, Sriniva...
ECCV
2006
Springer
16 years 6 months ago
Resolution-Aware Fitting of Active Appearance Models to Low Resolution Images
Abstract. Active Appearance Models (AAM) are compact representations of the shape and appearance of objects. Fitting AAMs to images is a difficult, non-linear optimization task. Tr...
Göksel Dedeoglu, Simon Baker, Takeo Kanade