Illumination-invariant face identification using edge-based feature vectors in pseudo-2D Hidden Markov Models
暂无分享,去创建一个
[1] Hong Yan,et al. Automatic human face detection and recognition under non-uniform illumination , 1999, Pattern Recognit..
[2] Monson H. Hayes,et al. An embedded HMM-based approach for face detection and recognition , 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).
[3] T. Shibata,et al. A general-purpose vector-quantization processor employing two-dimensional bit-propagating winner-take-all , 2002, 2002 Symposium on VLSI Circuits. Digest of Technical Papers (Cat. No.02CH37302).
[4] Tadashi Shibata,et al. A Mixed-Signal VLSI for Real-Time Generation of Edge-Based Image Vectors , 2003, NIPS.
[5] Tadashi Shibata,et al. Multiple-clue face detection algorithm using edge-based feature vectors , 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.
[6] Tadashi Shibata,et al. An edge-based face detection algorithm robust against illumination, focus, and scale variations , 2004, 2004 12th European Signal Processing Conference.
[7] Oscar E. Agazzi,et al. Keyword Spotting in Poorly Printed Documents using Pseudo 2-D Hidden Markov Models , 1994, IEEE Trans. Pattern Anal. Mach. Intell..
[8] David J. Kriegman,et al. From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose , 2001, IEEE Trans. Pattern Anal. Mach. Intell..
[9] Gerhard Rigoll,et al. Recognition of JPEG compressed face images based on statistical methods , 2000, Image Vis. Comput..
[10] Tadashi Shibata,et al. An image representation algorithm compatible with neural-associative-processor-based hardware recognition systems , 2003, IEEE Trans. Neural Networks.
[11] T. Shibata,et al. A real-time image-feature-extraction and vector-generation VLSI employing arrayed-shift-register architecture , 2005, Proceedings of the 31st European Solid-State Circuits Conference, 2005. ESSCIRC 2005..
[12] Monson H. Hayes,et al. Hidden Markov models for face recognition , 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).
[13] Tadashi Shibata,et al. Multiple-resolution edge-based feature representations for robust face segmentation and verification , 2005, 2005 13th European Signal Processing Conference.
[14] Andy Harter,et al. Parameterisation of a stochastic model for human face identification , 1994, Proceedings of 1994 IEEE Workshop on Applications of Computer Vision.