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ORCIDAdvances in Computer Vision and Pattern Recognition
2026
- Yulan Guo, Sheng Ao, Zhiheng Fu, Hao Liu, Qingyong Hu:
Point Cloud Intelligence. Advances in Computer Vision and Pattern Recognition, Springer 2026, ISBN 978-981-95-0647-7, pp. 1-223 - Mengmeng Wang, Xiangjie Kong, Guojiang Shen:
Visual Object Tracking across Modalities - Foundations, Methods, and Future Directions. Advances in Computer Vision and Pattern Recognition, Springer 2026, ISBN 978-981-95-3663-4, pp. 1-239 - Wei Qi Yan:
Robotic Vision - From Deep Learning to Autonomous Systems. Advances in Computer Vision and Pattern Recognition, Springer 2026, ISBN 978-981-95-4359-5, pp. 1-159
2025
- Xin Zhao
, Shiyu Hu, Xu-Cheng Yin:
Visual Object Tracking - An Evaluation Perspective. Advances in Computer Vision and Pattern Recognition, Springer 2025, ISBN 978-981-96-4557-2, pp. 3-199
2022
- Qi Wu, Peng Wang, Xin Wang, Xiaodong He, Wenwu Zhu:
Visual Question Answering - From Theory to Application. Advances in Computer Vision and Pattern Recognition, Springer 2022, ISBN 978-981-19-0963-4, pp. 1-236
2021
- Luis Enrique Sucar:
Probabilistic Graphical Models - Principles and Applications, Second Edition. Advances in Computer Vision and Pattern Recognition, Springer 2021, ISBN 978-3-030-61942-8, pp. 1-346
2020
- Marius Leordeanu:
Unsupervised Learning in Space and Time - A Modern Approach for Computer Vision using Graph-based Techniques and Deep Neural Networks. Advances in Computer Vision and Pattern Recognition, Springer 2020, ISBN 978-3-030-42127-4, pp. 1-295 - Katsushi Ikeuchi, Yasuyuki Matsushita, Ryusuke Sagawa, Hiroshi Kawasaki, Yasuhiro Mukaigawa, Ryo Furukawa, Daisuke Miyazaki:
Active Lighting and Its Application for Computer Vision - 40 Years of History of Active Lighting Techniques. Advances in Computer Vision and Pattern Recognition, Springer 2020, ISBN 978-3-030-56576-3, pp. 1-303
2019
- Le Lu, Xiaosong Wang, Gustavo Carneiro, Lin Yang:
Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics. Advances in Computer Vision and Pattern Recognition, Springer 2019, ISBN 978-3-030-13968-1 [contents] - Sébastien Marcel, Mark S. Nixon, Julian Fiérrez, Nicholas W. D. Evans:
Handbook of Biometric Anti-Spoofing - Presentation Attack Detection, Second Edition. Advances in Computer Vision and Pattern Recognition, Springer 2019, ISBN 978-3-319-92626-1 [contents] - Eckart Michaelsen, Jochen Meidow:
Hierarchical Perceptual Grouping for Object Recognition - Theoretical Views and Gestalt-Law Applications. Advances in Computer Vision and Pattern Recognition, Springer 2019, ISBN 978-3-030-04039-0, pp. 1-188
2018
- Guy Gilboa:
Nonlinear Eigenproblems in Image Processing and Computer Vision. Advances in Computer Vision and Pattern Recognition, Springer 2018, ISBN 978-3-319-75846-6, pp. 1-158 - Ajay Kumar:
Contactless 3D Fingerprint Identification. Advances in Computer Vision and Pattern Recognition, Springer 2018, ISBN 978-3-319-67680-7, pp. 1-119
2017
- Massimo Tistarelli, Christophe Champod:
Handbook of Biometrics for Forensic Science. Advances in Computer Vision and Pattern Recognition, Springer 2017, ISBN 978-3-319-50671-5 [contents] - Klaus D. Tönnies:
Guide to Medical Image Analysis - Methods and Algorithms, Second Edition. Advances in Computer Vision and Pattern Recognition, Springer 2017, ISBN 978-1-4471-7318-2, pp. 1-578 - Le Lu, Yefeng Zheng, Gustavo Carneiro, Lin Yang:
Deep Learning and Convolutional Neural Networks for Medical Image Computing - Precision Medicine, High Performance and Large-Scale Datasets. Advances in Computer Vision and Pattern Recognition, Springer 2017, ISBN 978-3-319-42998-4 [contents] - Gabriela Csurka:
Domain Adaptation in Computer Vision Applications. Advances in Computer Vision and Pattern Recognition, Springer 2017, ISBN 978-3-319-58346-4 [contents]
2016
- Radu Tudor Ionescu, Marius Popescu:
Knowledge Transfer between Computer Vision and Text Mining - Similarity-based Learning Approaches. Advances in Computer Vision and Pattern Recognition, Springer 2016, ISBN 978-3-319-30365-9, pp. 1-246 - Yongqiang Zhao, Chen Yi, Seong G. Kong, Quan Pan, Yongmei Cheng:
Multi-band Polarization Imaging and Applications. Advances in Computer Vision and Pattern Recognition, Springer 2016, ISBN 978-3-662-49371-7, pp. 1-194 - Mongi A. Abidi, Andrei V. Gribok, Joonki Paik:
Optimization Techniques in Computer Vision - Ill-Posed Problems and Regularization. Advances in Computer Vision and Pattern Recognition, Springer 2016, ISBN 978-3-319-46363-6, pp. 3-247 - Kenichi Kanatani, Yasuyuki Sugaya, Yasushi Kanazawa:
Guide to 3D Vision Computation - Geometric Analysis and Implementation. Advances in Computer Vision and Pattern Recognition, Springer 2016, ISBN 978-3-319-48492-1, pp. 1-254 - Amir R. Zamir, Asaad Hakeem, Luc Van Gool, Mubarak Shah, Richard Szeliski:
Large-Scale Visual Geo-Localization. Advances in Computer Vision and Pattern Recognition, Springer 2016, ISBN 978-3-319-25779-2 [contents] - Lauro Snidaro, Jesús García, James Llinas, Erik Blasch:
Context-Enhanced Information Fusion - Boosting Real-World Performance with Domain Knowledge. Advances in Computer Vision and Pattern Recognition, Springer 2016, ISBN 978-3-319-28969-4 [contents]
2015
- Kaspar Riesen:
Structural Pattern Recognition with Graph Edit Distance - Approximation Algorithms and Applications. Advances in Computer Vision and Pattern Recognition, Springer 2015, ISBN 978-3-319-27251-1, pp. 3-156 - Marek R. Ogiela, Tomasz Hachaj:
Natural User Interfaces in Medical Image Analysis - Cognitive Analysis of Brain and Carotid Artery Images. Advances in Computer Vision and Pattern Recognition, Springer 2015, ISBN 978-3-319-07799-4, pp. 1-283 - Hong Cheng:
Sparse Representation, Modeling and Learning in Visual Recognition - Theory, Algorithms and Applications. Advances in Computer Vision and Pattern Recognition, Springer 2015, ISBN 978-1-4471-6713-6, pp. 3-235 - Luis Enrique Sucar:
Probabilistic Graphical Models - Principles and Applications. Advances in Computer Vision and Pattern Recognition, Springer 2015, ISBN 978-1-4471-6698-6, pp. 3-246
2014
- Gernot A. Fink:
Markov Models for Pattern Recognition - From Theory to Applications. Advances in Computer Vision and Pattern Recognition, Springer 2014, ISBN 978-1-4471-6307-7, pp. 1-253 - Tong Lu, Shivakumara Palaiahnakote, Chew Lim Tan, Wenyin Liu:
Video Text Detection. Advances in Computer Vision and Pattern Recognition, Springer 2014, ISBN 978-1-4471-6514-9, pp. 1-254 - Shaogang Gong, Marco Cristani, Shuicheng Yan, Chen Change Loy:
Person Re-Identification. Advances in Computer Vision and Pattern Recognition, Springer 2014, ISBN 978-1-4471-6295-7 [contents] - Bogdan Ionescu, Jenny Benois-Pineau, Tomas Piatrik, Georges Quénot:
Fusion in Computer Vision - Understanding Complex Visual Content. Advances in Computer Vision and Pattern Recognition, Springer 2014, ISBN 978-3-319-05695-1 [contents] - Sébastien Marcel, Mark S. Nixon, Stan Z. Li:
Handbook of Biometric Anti-Spoofing - Trusted Biometrics under Spoofing Attacks. Advances in Computer Vision and Pattern Recognition, Springer 2014, ISBN 978-1-4471-6523-1 [contents]
2013
- T. Ravindra Babu, M. Narasimha Murty, S. V. Subrahmanya:
Compression Schemes for Mining Large Datasets - A Machine Learning Perspective. Advances in Computer Vision and Pattern Recognition, Springer 2013, ISBN 978-1-4471-5606-2, pp. 1-183 - Michal Haindl, Jirí Filip:
Visual Texture: Accurate Material Appearance Measurement, Representation and Modeling. Advances in Computer Vision and Pattern Recognition, Springer 2013, ISBN 978-1-4471-4901-9 - Chris Aldrich, Lidia Auret:
Unsupervised Process Monitoring and Fault Diagnosis with Machine Learning Methods. Advances in Computer Vision and Pattern Recognition, Springer 2013, ISBN 978-1-4471-5184-5 - Antonio Robles-Kelly, Cong Phuoc Huynh:
Imaging Spectroscopy for Scene Analysis. Advances in Computer Vision and Pattern Recognition, Springer 2013, ISBN 978-1-4471-4651-3, pp. I-XVIII, 1-269 - Mark James Burge, Kevin W. Bowyer:
Handbook of Iris Recognition. Advances in Computer Vision and Pattern Recognition, Springer 2013, ISBN 978-1-4471-4401-4 [contents] - Marco Alexander Treiber:
Optimization for Computer Vision - An Introduction to Core Concepts and Methods. Advances in Computer Vision and Pattern Recognition, Springer 2013, ISBN 978-1-4471-5282-8, pp. I-XI, 1-257 - Andrea Fossati, Juergen Gall, Helmut Grabner, Xiaofeng Ren, Kurt Konolige:
Consumer Depth Cameras for Computer Vision, Research Topics and Applications. Advances in Computer Vision and Pattern Recognition, Springer 2013, ISBN 978-1-4471-4639-1 [contents] - Marcello Pelillo:
Similarity-Based Pattern Analysis and Recognition. Advances in Computer Vision and Pattern Recognition, Springer 2013, ISBN 978-1-4471-5627-7 [contents] - Giovanni Maria Farinella, Sebastiano Battiato, Roberto Cipolla:
Advanced Topics in Computer Vision. Advances in Computer Vision and Pattern Recognition, Springer 2013, ISBN 978-1-4471-5519-5 [contents]
2012
- Klaus D. Tönnies:
Guide to Medical Image Analysis - Methods and Algorithms. Advances in Computer Vision and Pattern Recognition, Springer 2012, ISBN 978-1-4471-2750-5, pp. I-XX, 1-468 - A. Ardeshir Goshtasby:
Image Registration - Principles, Tools and Methods. Advances in Computer Vision and Pattern Recognition, Springer 2012, ISBN 978-1-4471-2457-3, pp. I-XVIII, 1-441
2011
- Ananda S. Chowdhury, Suchendra M. Bhandarkar:
Computer Vision-Guided Virtual Craniofacial Surgery. Advances in Computer Vision and Pattern Recognition, Springer 2011, ISBN 978-0-85729-295-7 - Stefano Ferilli:
Automatic Digital Document Processing and Management: Problems, Algorithms and Techniques. Advances in Pattern Recognition, Springer 2011, ISBN 978-0-85729-197-4, pp. I-XXVI, 1-297 - Guanghui Wang, Q. M. Jonathan Wu:
Guide to Three Dimensional Structure and Motion Factorization. Advances in Pattern Recognition, Springer 2011, ISBN 978-0-85729-045-8, pp. I-XIII, 1-214 - Hong Cheng:
Autonomous Intelligent Vehicles - Theory, Algorithms, and Implementation. Advances in Computer Vision and Pattern Recognition, Springer 2011, ISBN 978-1-447-12279-1, pp. I-X, 1-152 - Cem Ünsalan, Kim L. Boyer:
Multispectral Satellite Image Understanding: From Land Classification to Building and Road Detection. Advances in Computer Vision and Pattern Recognition, Springer 2011, ISBN 978-0-85729-666-5, pp. I-XVII, 1-185
2010
- Bir Bhanu, Ju Han:
Human Recognition at a Distance in Video. Advances in Pattern Recognition, Springer 2010, ISBN 978-0-85729-123-3, pp. I-XXV, 1-253 - Shigeo Abe:
Support Vector Machines for Pattern Classification. Advances in Pattern Recognition, Springer 2010, ISBN 978-1-84996-097-7, pp. i-xix, 1-471 - Marco Alexander Treiber:
An Introduction to Object Recognition. Advances in Pattern Recognition, Springer 2010, ISBN 978-1-84996-234-6, pp. i-xvii, 1-201
2009
- Santiago Aja-Fernández, Rodrigo de Luis García, Dacheng Tao, Xuelong Li:
Tensors in Image Processing and Computer Vision. Advances in Pattern Recognition, Springer 2009, ISBN 978-1-84882-298-6 [contents] - Nanning Zheng, Jianru Xue:
Statistical Learning and Pattern Analysis for Image and Video Processing. Advances in Pattern Recognition, Springer 2009, ISBN 978-1-84882-311-2, pp. I-XVI, 1-365 - Stan Z. Li:
Markov Random Field Modeling in Image Analysis. Advances in Pattern Recognition, Springer 2009, ISBN 978-1-84800-278-4 - Gabor T. Herman:
Fundamentals of Computerized Tomography: Image Reconstruction from Projections. Advances in Pattern Recognition, Springer 2009, ISBN 978-1-85233-617-2, pp. I-XI, 1-297
2008
- Bir Bhanu, Hui Chen:
Human Ear Recognition by Computer. Advances in Pattern Recognition, Springer 2008, ISBN 978-1-84800-128-2, pp. i-xviii, 1-201
2005
- Lee Middleton, Jayanthi Sivaswamy:
Hexagonal Image Processing: A Practical Approach. Advances in Pattern Recognition, Springer 2005, ISBN 978-1-85233-914-2, pp. I-XIII, 1-254 - Shigeo Abe:
Support Vector Machines for Pattern Classification. Advances in Pattern Recognition, Springer 2005, ISBN 978-1-85233-929-6, pp. I-XV, 1-343
2002
- Mohammed Bennamoun, George J. Mamic:
Object Recognition: Fundamentals and Case Studies. Advances in Pattern Recognition, Springer 2002, ISBN 978-1-4471-3724-5, pp. i-xiii, 1-350
2001
- Sarunas Raudys:
Statistical and Neural Classifiers: An Integrated Approach to Design. Advances in Pattern Recognition, Springer 2001, ISBN 978-1-85233-297-6, pp. i-xxiii, 1-289 - Michael S. Lew:
Principles of Visual Information Retrieval. Advances in Computer Vision and Pattern Recognition, Springer 2001, ISBN 978-1-84996-868-3 [contents]
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