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Handbook of Pattern Recognition and Computer VisionFebruary 2010
- Author:
- C. H. Chen
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Abstract
Both pattern recognition and computer vision have experienced rapid progress in the last twenty-five years. This book provides the latest advances on pattern recognition and computer vision along with their many applications. It features articles written by renowned leaders in the field while topics are presented in readable form to a wide range of readers. The book is divided into five parts: basic methods in pattern recognition, basic methods in computer vision and image processing, recognition applications, life science and human identification, and systems and technology.
Cited By
- Li Y, Zhang J, Chen M, Lei H, Luo G and Huang Y (2019). Shape based local affine invariant texture characteristics for fabric image retrieval, Multimedia Tools and Applications, 78:11, (15433-15453), Online publication date: 1-Jun-2019.
- Tout K, Cogranne R and Retraint F (2018). Statistical decision methods in the presence of linear nuisance parameters and despite imaging system heteroscedastic noise, Signal Processing, 144:C, (430-443), Online publication date: 1-Mar-2018.
- Liu C and Kavakli M (2016). Extensions of principle component analysis with applications on vision based computing, Multimedia Tools and Applications, 75:17, (10113-10151), Online publication date: 1-Sep-2016.
- Delpiano J, Pizarro L, Verschae R and Ruiz-del-Solar J (2016). Multi-objective optimization for parameter selection and characterization of optical flow methods, Applied Soft Computing, 46:C, (1067-1078), Online publication date: 1-Sep-2016.
Klakegg S, Luo C, Goncalves J, Hosio S and Kostakos V Instrumenting smartphones with portable NIRS Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct, (618-623)- Gheolbănoiu A, Petrică L and Coţofană S Hybrid adaptive clock management for FPGA processor acceleration Proceedings of the 2015 Design, Automation & Test in Europe Conference & Exhibition, (1359-1364)
- Schiaratura O, Ansaloni P, Lughi G, Neri M, Roffilli M, Serpi F and Simonetto A SoC-Based Pattern Recognition Systems for Non Destructive Testing Revised Selected Papers of the First International Workshop on Machine Learning, Optimization, and Big Data - Volume 9432, (209-221)
- Sheng Wang , Qiang Wu , Xiangjian He , Jie Yang and Yi Wang (2015). Local
$N$ - Geetha M, Anandsankar B, Nair L, Amrutha T and Rajeev A An improved Human Action Recognition system using RSD Code generation Proceedings of the 2014 International Conference on Interdisciplinary Advances in Applied Computing, (1-9)