Search results for "Image Pattern Recognition"
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Computer Vision, Pattern Recognition, Image Processing, and Graphics
This book constitutes the refereed proceedings of the 6th National Conference on Computer Vision, Pattern Recognition, Image Processing, and Graphics, NCVPRIPG 2017, held in Mandi, India, in December 2017. The 48 revised full papers presented in this volume were carefully reviewed and selected from 147 submissions. The papers are organized in topical sections on video processing; image and signal processing; segmentation, retrieval, captioning; pattern recognition applications.
R 3,083.17
Pattern Recognition and Computer Vision
The 4-volume set LNCS 13019, 13020, 13021 and 13022 constitutes the refereed proceedings of the 4th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2021, held in Beijing, China, in October-November 2021.The 201 full papers presented were carefully reviewed and selected from 513 submissions. The papers have been organized in the following topical sections: Object Detection, Tracking and Recognition; Computer Vision, Theories and Applications, Multimedia Processing and Analysis; Low-level Vision and Image Processing; Biomedical Image Processing and Analysis; Machine Learning, Neural Network and Deep Learning, and New Advances in Visual Perception and Understanding.
R 5,100.60
Pattern Recognition and Computer Vision
The 4-volume set LNCS 13019, 13020, 13021 and 13022 constitutes the refereed proceedings of the 4th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2021, held in Beijing, China, in October-November 2021.The 201 full papers presented were carefully reviewed and selected from 513 submissions. The papers have been organized in the following topical sections: Object Detection, Tracking and Recognition; Computer Vision, Theories and Applications, Multimedia Processing and Analysis; Low-level Vision and Image Processing; Biomedical Image Processing and Analysis; Machine Learning, Neural Network and Deep Learning, and New Advances in Visual Perception and Understanding.
R 3,945.96
Pattern Recognition and Machine Intelligence
This 2-volume-set constitutes the proceedings of 11th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2025, in Delhi, India, during December 11–14, 2025.This year the conference was structured primarily into the following tracks, namely, Artificial Intelligence, Bioinformatics, Computer Vision, Cyber-physical systems, Data Science, Document Understanding, Edge AI, Evolutionary Computation, Health Analytics, Image Processing, Medical Imaging, Natural Language Processing, Pattern Recognition, Quantum AI, Signal Processing, Soft Computing / Computational Intelligence, Speech and Audio Processing, Swarm Intelligence, Video Processing, AR-VR, and Haptics.
R 3,570.63
Pattern Recognition and Machine Intelligence
This 2-volume-set constitutes the proceedings of 11th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2025, in Delhi, India, during December 11–14, 2025.This year the conference was structured primarily into the following tracks, namely, Artificial Intelligence, Bioinformatics, Computer Vision, Cyber-physical systems, Data Science, Document Understanding, Edge AI, Evolutionary Computation, Health Analytics, Image Processing, Medical Imaging, Natural Language Processing, Pattern Recognition, Quantum AI, Signal Processing, Soft Computing / Computational Intelligence, Speech and Audio Processing, Swarm Intelligence, Video Processing, AR-VR, and Haptics.
R 3,229.55
Correlation Pattern Recognition
Correlation is a robust and general technique for pattern recognition and is used in many applications, such as automatic target recognition, biometric recognition and optical character recognition. The design, analysis and use of correlation pattern recognition algorithms requires background information, including linear systems theory, random variables and processes, matrix/vector methods, detection and estimation theory, digital signal processing and optical processing. This book provides a needed review of this diverse background material and develops the signal processing theory, the pattern recognition metrics, and the practical application know-how from basic premises. It shows both digital and optical implementations. It also contains technology presented by the team that developed it and includes case studies of significant interest, such as face and fingerprint recognition. Suitable for graduate students taking courses in pattern recognition theory, whilst reaching technical levels of interest to the professional practitioner.
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Correlation Pattern Recognition
Correlation is a robust and general technique for pattern recognition and is used in many applications, such as automatic target recognition, biometric recognition and optical character recognition. The design, analysis and use of correlation pattern recognition algorithms requires background information, including linear systems theory, random variables and processes, matrix/vector methods, detection and estimation theory, digital signal processing and optical processing. This book provides a needed review of this diverse background material and develops the signal processing theory, the pattern recognition metrics, and the practical application know-how from basic premises. It shows both digital and optical implementations. It also contains technology presented by the team that developed it and includes case studies of significant interest, such as face and fingerprint recognition. Suitable for graduate students taking courses in pattern recognition theory, whilst reaching technical levels of interest to the professional practitioner.
R 2,961.41
R 6,106.00
Video Analytics. Face and Facial Expression Recognition
This book constitutes the proceedings of the Third Workshop on Face and Facial Expression Recognition from Real World Videos, FFER 2018, and the Second International Workshop on Deep Learning for Pattern Recognition, DLPR 2018, held at the 24th International Conference on Pattern Recognition, ICPR 2018, in Beijing, China, in August 2018.The 7 papers presented in this volume were carefully reviewed and selected from 9 submissions. They deal with topics such as histopathological images, action recognition, scene text detection, speech recognition, object classification, presentation attack detection, and driver drowsiness detection.
R 2,136.78
Shape Perception in Human and Computer Vision
This comprehensive and authoritative text/reference presents a unique, multidisciplinary perspective on Shape Perception in Human and Computer Vision. Rather than focusing purely on the state of the art, the book provides viewpoints from world-class researchers reflecting broadly on the issues that have shaped the field. Drawing upon many years of experience, each contributor discusses the trends followed and the progress made, in addition to identifying the major challenges that still lie ahead. Topics and features: examines each topic from a range of viewpoints, rather than promoting a specific paradigm; discusses topics on contours, shape hierarchies, shape grammars, shape priors, and 3D shape inference; reviews issues relating to surfaces, invariants, parts, multiple views, learning, simplicity, shape constancy and shape illusions; addresses concepts from the historically separate disciplines of computer vision and human vision using the same “language” and methods.
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Document Analysis Systems
This book constitutes the proceedings of the 17th IAPR International workshops on Document Analysis Systems, DAS 2026, which took place in conjunctions with ICDAR 2026, in Vienna, Austria, during September 3-4, 2026. The 29 full papers included in this book were carefully reviewed and selected from 50 submissions. They were organized in topical sections as follows: Tables, Forms and Structured Extraction; Document-Centric AI, Retrieval and REasoning; Handwriting, Writer Identification and Music Documents; OCR, Layout and Recognition Systems; Enterprise and Industrial Document AI; and Historical, Symbolic and Camera-Based Documents.
R 3,164.15
R 458.00
Applications of Advanced Machine Intelligence in Computer Vision and Object Recognition
Computer vision and object recognition are two technological methods that are frequently used in various professional disciplines. In order to maintain high levels of quality and accuracy of services in these sectors, continuous enhancements and improvements are needed. The implementation of artificial intelligence and machine learning has assisted in the development of digital imaging, yet proper research on the applications of these advancing technologies is lacking.Applications of Advanced Machine Intelligence in Computer Vision and Object Recognition: Emerging Research and Opportunities explores the theoretical and practical aspects of modern advancements in digital image analysis and object detection as well as its applications within healthcare, security, and engineering fields. Featuring coverage on a broad range of topics such as disease detection, adaptive learning, and automated image segmentation, this book is ideally designed for engineers, physicians, researchers, academicians, practitioners, scientists, industry professionals, scholars, and students seeking research on the current developments in object recognition using artificial intelligence.
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