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» Supervised Image Segmentation Using Markov Random Fields
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CVPR
2009
IEEE
16 years 6 months ago
Learning Optimized MAP Estimates in Continuously-Valued MRF Models
We present a new approach for the discriminative training of continuous-valued Markov Random Field (MRF) model parameters. In our approach we train the MRF model by optimizing t...
Kegan G. G. Samuel, Marshall F. Tappen
CVPR
2012
IEEE
13 years 2 months ago
A learning-based framework for depth ordering
Depth ordering is instrumental for understanding the 3D geometry of an image. We as humans are surprisingly good ordering even with abstract 2D line drawings. In this paper we pro...
Zhaoyin Jia, Andrew C. Gallagher, Yao-Jen Chang, T...
ICCV
2003
IEEE
16 years 1 months ago
Towards a Mathematical Theory of Primal Sketch and Sketchability
In this paper, we present a mathematical theory for Marr's primal sketch. We first conduct a theoretical study of the descriptive Markov random field model and the generative...
Cheng-en Guo, Song Chun Zhu, Ying Nian Wu
140
Voted
ICCV
2009
IEEE
16 years 4 months ago
Piecewise Planar Stereo for Image-based Rendering
We present a novel multi-view stereo method designed for image-based rendering that generates piecewise planar depth maps from an unordered collection of photographs. First a di...
Sudipta N. Sinha, Drew Steedly and Richard Szelisk...
CAIP
2009
Springer
257views Image Analysis» more  CAIP 2009»
14 years 9 months ago
On the Recovery of Depth from a Single Defocused Image
Abstract. In this paper we address the challenging problem of recovering the depth of a scene from a single image using defocus cue. To achieve this, we first present a novel appro...
Shaojie Zhuo, Terence Sim