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» Learning Iterative Image Reconstruction
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CVPR
2006
IEEE
15 years 3 months ago
Learning Joint Top-Down and Bottom-up Processes for 3D Visual Inference
We present an algorithm for jointly learning a consistent bidirectional generative-recognition model that combines top-down and bottom-up processing for monocular 3d human motion ...
Cristian Sminchisescu, Atul Kanaujia, Dimitris N. ...
TIP
2002
169views more  TIP 2002»
14 years 9 months ago
On the origin of the bilateral filter and ways to improve it
Abstract--Additive noise removal from a given signal is an important problem in signal processing. Among the most appealing aspects of this field are the ability to refer it to a w...
Michael Elad
ECCV
2004
Springer
15 years 3 months ago
Statistical Learning of Evaluation Function for ASM/AAM Image Alignment
Alignment between the input and target objects has great impact on the performance of image analysis and recognition system, such as those for medical image and face recognition. A...
Xiangsheng Huang, Stan Z. Li, Yangsheng Wang
ECCV
2010
Springer
14 years 11 months ago
Self-Adapting Feature Layers
Abstract. This paper presents a new approach for fitting a 3D morphable model to images of faces, using self-adapting feature layers (SAFL). The algorithm integrates feature detect...
ICIP
2009
IEEE
14 years 7 months ago
Directionally adaptive super-resolution
In this paper a novel direction adaptive super-resolution (SR) image reconstruction method is proposed. The proposed maximum a-posteriori (MAP) based estimator uses gradient direc...
Emre Turgay, Gozde Bozdagi Akar