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» Nonparametric Bayesian Image Segmentation
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CVPR
2009
IEEE
16 years 4 months ago
Stereo Matching with Nonparametric Smoothness Priors in Feature Space
We propose a novel formulation of stereo matching that considers each pixel as a feature vector. Under this view, matching two or more images can be cast as matching point clouds i...
Brandon M. Smith, Hailin Jin, Li Zhang
70
Voted
CVIU
2006
166views more  CVIU 2006»
14 years 9 months ago
Non-parametric and light-field deformable models
Statistical shape-and-texture appearance models use image morphing to define a rich, compact representation of object appearance. They are useful in a variety of applications incl...
Chris Mario Christoudias, Louis-Philippe Morency, ...
SCALESPACE
2007
Springer
15 years 3 months ago
Bayesian Non-local Means Filter, Image Redundancy and Adaptive Dictionaries for Noise Removal
Abstract. Partial Differential equations (PDE), wavelets-based methods and neighborhood filters were proposed as locally adaptive machines for noise removal. Recently, Buades, Col...
Charles Kervrann, Jérôme Boulanger, P...
68
Voted
MICCAI
2003
Springer
15 years 10 months ago
A Statistically Based Surface Evolution Method for Medical Image Segmentation: Presentation and Validation
Abstract. In this paper we present a new algorithm for 3D medical image segmentation. The algorithm is fast, relatively simple to implement, and semi-automatic. It is based on mini...
Eric Pichon, Allen Tannenbaum, Ron Kikinis
ICIP
2005
IEEE
15 years 11 months ago
New algorithms for fast and accurate AM-FM demodulation of digital images
Multidimensional Amplitude-Modulation Frequency - Modulation (AM-FM) models allow us to describe continuousscale modulations in digital images. AM-FM models have led to a wide ran...
Paul V. Rodriguez, Marios S. Pattichis