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» Iterative MAP and ML Estimations for Image Segmentation
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CVPR
2009
IEEE
1081views Computer Vision» more  CVPR 2009»
15 years 3 months ago
Learning Real-Time MRF Inference for Image Denoising
Many computer vision problems can be formulated in a Bayesian framework with Markov Random Field (MRF) or Conditional Random Field (CRF) priors. Usually, the model assumes that ...
Adrian Barbu (Florida State University)
CVPR
2012
IEEE
11 years 10 months ago
Adaptive figure-ground classification
We propose an adaptive figure-ground classification algorithm to automatically extract a foreground region using a user-provided bounding-box. The image is first over-segmented wi...
Yisong Chen, Antoni B. Chan, Guoping Wang
CVPR
2011
IEEE
13 years 2 months ago
Global Contrast based Salient Region Detection
Reliable estimation of visual saliency allows appropriate processing of images without prior knowledge of their content, and thus remains an important step in many computer vision ...
Ming-Ming Cheng, Guo-Xin Zhang, Niloy J. Mitra, Xi...
SCALESPACE
2009
Springer
14 years 2 months ago
Bregman-EM-TV Methods with Application to Optical Nanoscopy
Abstract. Measurements in nanoscopic imaging suffer from blurring effects concerning different point spread functions (PSF). Some apparatus even have PSFs that are locally depend...
Christoph Brune, Alex Sawatzky, Martin Burger
SIGGRAPH
1994
ACM
13 years 12 months ago
Animating images with drawings
The work described here extends the power of 2D animation with a form of texture mapping conveniently controlled by line drawings. By tracing points, line segments, spline curves,...
Peter Litwinowicz, Lance Williams