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» Statistical Models of Appearance for Computer Vision
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144
Voted
CVPR
1999
IEEE
16 years 5 months ago
Histogram Clustering for Unsupervised Image Segmentation
This paper introduces a novel statistical mixture model for probabilistic grouping of distributional histogram data. Adopting the Bayesian framework, we propose to perform anneale...
Jan Puzicha, Joachim M. Buhmann, Thomas Hofmann
CVPR
2005
IEEE
16 years 5 months ago
Determining the Radiometric Response Function from a Single Grayscale Image
A method is presented for computing the radiometric response function of a camera from a single grayscale image. While most previous techniques require a set of registered images ...
Stephen Lin, Lei Zhang
148
Voted
AI
2002
Springer
15 years 3 months ago
The size distribution for Markov equivalence classes of acyclic digraph models
Bayesian networks, equivalently graphical Markov models determined by acyclic digraphs or ADGs (also called directed acyclic graphs or dags), have proved to be both effective and ...
Steven B. Gillispie, Michael D. Perlman
ECCV
2004
Springer
16 years 5 months ago
Detecting Keypoints with Stable Position, Orientation, and Scale under Illumination Changes
Local feature approaches to vision geometry and object recognition are based on selecting and matching sparse sets of visually salient image points, known as `keypoints' or `p...
Bill Triggs
CVPR
2007
IEEE
16 years 5 months ago
P3 & Beyond: Solving Energies with Higher Order Cliques
In this paper we extend the class of energy functions for which the optimal -expansion and -swap moves can be computed in polynomial time. Specifically, we introduce a class of hi...
Pushmeet Kohli, M. Pawan Kumar, Philip H. S. Torr