Pattern Recognition

39th German Conference, GCPR 2017, Basel, Switzerland, September 12–15, 2017, Proceedings

Volker Roth, Thomas Vetter (Herausgeber)

Buch | Softcover

XVI, 428 Seiten

2017 | 1st ed. 2017
Springer International Publishing (Verlag)
978-3-319-66708-9 (ISBN)

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This book constitutes the refereed proceedings of the 39th German Conference on Pattern Recognition, GCPR 2017, held in Basel, Switzerland, in September 2017.The 33 revised full papers presented were carefully reviewed and selected from 60 submissions. The papers are organized in topical sections on biomedical image processing and analysis; classification and detection; computational photography; image and video processing; machine learning and pattern recognition; mathematical foundations, statistical data analysis and models; motion and segmentation; pose, face and gesture; reconstruction and depth; and tracking.

Biomedical Image Processing and Analysis.- Classication and Detection.- Computational Photography.- Image and Video Processing.- Machine Learning and Pattern Recognition.- Mathematical Foundations, Statistical Data Analysis and Models.- Motion and Segmentation.- Pose, Face and Gesture.- Reconstruction and Depth.- Tracking.

Erscheinungsdatum	10.09.2017
Reihe/Serie	Image Processing, Computer Vision, Pattern Recognition, and Graphics
Reihe/Serie	Lecture Notes in Computer Science
Zusatzinfo	XVI, 428 p. 159 illus.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	676 g
Themenwelt	Informatik ► Grafik / Design ► Digitale Bildverarbeitung
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
Schlagworte	Artificial Intelligence • biomedical image processing • computational photography • Computer Science • computer vision • Document Analysis • image coding • Image Processing • image reconstruction • Image Segmentation • Learning Systems • machine learning • Mathematical Foundations • Motion Estimation • Neural networks • pattern recognition • reconstruction • Signal Processing • Statistical Data Analysis • SVM
ISBN-10	3-319-66708-4 / 3319667084
ISBN-13	978-3-319-66708-9 / 9783319667089
Zustand	Neuware