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» Markov Random Field Modeling in Computer Vision
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CVPR
2004
IEEE
14 years 11 months ago
Asymmetrically Boosted HMM for Speech Reading
Speech reading, also known as lip reading, is aimed at extracting visual cues of lip and facial movements to aid in recognition of speech. The main hurdle for speech reading is th...
Pei Yin, Irfan A. Essa, James M. Rehg
CVPR
2005
IEEE
14 years 11 months ago
Learning to Estimate Human Pose with Data Driven Belief Propagation
We propose a statistical formulation for 2-D human pose estimation from single images. The human body configuration is modeled by a Markov network and the estimation problem is to...
Gang Hua, Ming-Hsuan Yang, Ying Wu
ECCV
2004
Springer
14 years 11 months ago
A Linguistic Feature Vector for the Visual Interpretation of Sign Language
Abstract. This paper presents a novel approach to sign language recognition that provides extremely high classification rates on minimal training data. Key to this approach is a 2 ...
Richard Bowden, David Windridge, Timor Kadir, Andr...
ICPR
2008
IEEE
14 years 10 months ago
Neural net vector quantizers for discrete HMM-based on-line handwritten whiteboard-note recognition
In this work we evaluate a recently published vector quantization scheme, which has been developed to handle binary features like the pressure feature occurring in on-line handwri...
Gerhard Rigoll, Joachim Schenk
ICPR
2004
IEEE
14 years 10 months ago
Off-line Handwriting Identification Using HMM Based Recognizers
In this paper, an off-line, text independent system for writer identification using Hidden Markov Model (HMM) based recognizers is described. For each writer we build an individua...
Andreas Schlapbach, Horst Bunke