| Descript. |
xx, 382 pages : illustrations ; 29 cm. |
| Notes |
"Premier reference source."--Cover. |
| Bibliog. |
Includes bibliographical references and index. |
| Contents |
Face, image, and analysis / Yu-Jin Zhang -- Face searching in large databases / Maria De Marsico ... [et al.] -- A review of facial feature detection algorithms / Stylianos Asteriadis, Nikos Nikolaidis, Ioannis Pitas -- Gabor and Log-Gabor wavelet for face recognition / M. Ashraful Amin, Hong Yan -- Efficient face retrieval based on bag of facial features / Yuanjia Du, Ling Shao -- Feature selection in high dimension / Se?bastien Gadat -- Transform based feature extraction and dimensionality reduction techniques / V. Jadhav Dattatray, S. Holambe Raghunath -- FastNMF : efficient NMF algorithm for reducing feature dimension / Le Li, Yu-Jin Zhang -- Sparse representation for view-based face recognition / Imran Naseem, Roberto Togneri, Mohammed Bennamoun -- Probabilistic methods to face registration and recognition / Peng Li, Simon J.D. Prince -- Discriminant learning using training space partitioning / Marios Kyperoundtas, Anastasios Tefas, Ioannis Pitas -- From the face to facial expression / Zakia Hammal -- Facial expression analysis by machine learning / Siu-Yeung Cho, Teik-Toe Teoh, Yok-Yen Nguwi -- Subtle facial expression recognition in still images and videos / Fadi Dornaika, Bogdan Raducanu -- Photometric normalization techniques for illumination invariance / Vitomir S?truc, Nikola Paves?ic? -- Pose and illumination invariance with compound image transforms / Lior Shamir -- Configural processing hypothesis and face-inversion effect. |
| Summary |
"This book reviews and surveys new forward-thinking research and development in face image analysis technologies"--Provided by publisher. |
| Subject |
Biometric identification
|
|
Image processing, Computer-assisted.
|
|
Human face recognition (Computer science)
|
| Other Author |
Zhang, Yu-Jin, 1954-
|
| ISBN |
9781615209910 (hardcover) |
|
1615209913 (hardcover) |
|
9781615209927 (ebook) |
|
1615209921 (ebook) |
| ISBN/ISSN |
(YBP)3328415 |
|
