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» Interpreting Images by Propagating Bayesian Beliefs
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DCC
2010
IEEE
13 years 10 months ago
Tanner Graph Based Image Interpolation
This paper interprets image interpolation as a channel decoding problem and proposes a tanner graph based interpolation framework, which regards each pixel in an image as a variab...
Ruiqin Xiong, Wen Gao
ICCV
2007
IEEE
14 years 7 months ago
Learning Multiscale Representations of Natural Scenes Using Dirichlet Processes
We develop nonparametric Bayesian models for multiscale representations of images depicting natural scene categories. Individual features or wavelet coefficients are marginally de...
Jyri J. Kivinen, Erik B. Sudderth, Michael I. Jord...
AMDO
2006
Springer
13 years 9 months ago
Predicting 3D People from 2D Pictures
Abstract. We propose a hierarchical process for inferring the 3D pose of a person from monocular images. First we infer a learned view-based 2D body model from a single image using...
Leonid Sigal, Michael J. Black
CVIU
2006
317views more  CVIU 2006»
13 years 5 months ago
A general method for human activity recognition in video
In this paper we develop a system for human behaviour recognition in video sequences. Human behaviour is modelled as a stochastic sequence of actions. Actions are described by a f...
Neil Robertson, Ian D. Reid
NIPS
2003
13 years 7 months ago
An Improved Scheme for Detection and Labelling in Johansson Displays
Consider a number of moving points, where each point is attached to a joint of the human body and projected onto an image plane. Johannson showed that humans can effortlessly det...
Claudio Fanti, Marzia Polito, Pietro Perona