Pattern Recognition and Computer Vision
Second Chinese Conference, PRCV 2019, Xi’an, China, November 8–11, 2019, Proceedings, Part III
Seiten
2019
|
1st ed. 2019
Springer International Publishing (Verlag)
978-3-030-31725-6 (ISBN)
Springer International Publishing (Verlag)
978-3-030-31725-6 (ISBN)
The three-volume set LNCS 11857, 11858, and 11859 constitutes the refereed proceedings of the Second Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2019, held in Xi'an, China, in November 2019.
The 165 revised full papers presented were carefully reviewed and selected from 412 submissions. The papers have been organized in the following topical sections: Part I: Object Detection, Tracking and Recognition, Part II: Image/Video Processing and Analysis, Part III: Data Analysis and Optimization.
The 165 revised full papers presented were carefully reviewed and selected from 412 submissions. The papers have been organized in the following topical sections: Part I: Object Detection, Tracking and Recognition, Part II: Image/Video Processing and Analysis, Part III: Data Analysis and Optimization.
Erscheinungsdatum | 06.10.2019 |
---|---|
Reihe/Serie | Image Processing, Computer Vision, Pattern Recognition, and Graphics | Lecture Notes in Computer Science |
Zusatzinfo | XVIII, 545 p. 266 illus., 201 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 854 g |
Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
Schlagworte | Applications • Artificial Intelligence • classification • Clustering • Computer Science • computer vision • conference proceedings • Databases • estimation • Image Processing • image reconstruction • Image Segmentation • Imaging Systems • Informatics • Neural networks • Object recognition • optoelectronic devices • pattern recognition • pose estimation • reconstruction • Research • semantic information • Semantics • Stereo Vision • Support Vector Machines (SVM) |
ISBN-10 | 3-030-31725-0 / 3030317250 |
ISBN-13 | 978-3-030-31725-6 / 9783030317256 |
Zustand | Neuware |
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