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CVPR
1999
IEEE
16 years 8 months ago
Eigen-Texture Method: Appearance Compression Based on 3D Model
Image-based and model-based methods are two representative rendering methods for generating virtual images of objects from their real images. Extensive research on these two metho...
Ko Nishino, Yoichi Sato, Katsushi Ikeuchi
ICIP
2008
IEEE
16 years 8 months ago
Conditional iterative decoding of Two Dimensional Hidden Markov Models
Two Dimensional Hidden Markov Models (2D-HMMs) provide substantial benefits for many computer vision and image analysis applications. Many fundamental image analysis problems, inc...
Mehmet Emre Sargin, Alphan Altinok, Kenneth Rose, ...
ICPR
2002
IEEE
16 years 7 months ago
Face Detection and Synthesis Using Markov Random Field Models
Markov Random Fields (MRFs) are proposed as viable stochastic models for the spatial distribution of gray level intensities for images of human faces. These models are trained usi...
Sarat C. Dass, Anil K. Jain, Xiaoguang Lu
DAGM
2007
Springer
16 years 24 days ago
Learning Robust Objective Functions with Application to Face Model Fitting
Abstract. Model-based image interpretation extracts high-level information from images using a priori knowledge about the object of interest. The computational challenge is to dete...
Matthias Wimmer, Sylvia Pietzsch, Freek Stulp, Ber...
ICBA
2004
Springer
171views Biometrics» more  ICBA 2004»
15 years 12 months ago
Face Recognition with 3D Model-Based Synthesis
Abstract. Current appearance-based face recognition system encounters the difficulty to recognize faces with appearance variations, while only a small number of training images are...
Xiaoguang Lu, Rein-Lien Hsu, Anil K. Jain, Behrooz...