Computer Vision – ACCV 2018

14th Asian Conference on Computer Vision, Perth, Australia, December 2–6, 2018, Revised Selected Papers, Part IV

C.V. Jawahar, Hongdong Li, Greg Mori, Konrad Schindler (Herausgeber)

Buch | Softcover

XX, 749 Seiten

2019 | 1st ed. 2019
Springer International Publishing (Verlag)
978-3-030-20869-1 (ISBN)

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The six volume set LNCS 11361-11366 constitutes the proceedings of the 14 th Asian Conference on Computer Vision, ACCV 2018, held in Perth, Australia, in December 2018. The total of 274 contributions was carefully reviewed and selected from 979 submissions during two rounds of reviewing and improvement. The papers focus on motion and tracking, segmentation and grouping, image-based modeling, dep learning, object recognition object recognition, object detection and categorization, vision and language, video analysis and event recognition, face and gesture analysis, statistical methods and learning, performance evaluation, medical image analysis, document analysis, optimization methods, RGBD and depth camera processing, robotic vision, applications of computer vision.

Erscheinungsdatum	27.05.2019
Reihe/Serie	Image Processing, Computer Vision, Pattern Recognition, and Graphics
Reihe/Serie	Lecture Notes in Computer Science
Zusatzinfo	XX, 749 p. 274 illus., 249 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	1163 g
Themenwelt	Informatik ► Grafik / Design ► Digitale Bildverarbeitung
	Mathematik / Informatik ► Informatik ► Netzwerke
	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Informatik ► Weitere Themen ► Hardware
Schlagworte	Applications • Artificial Intelligence • Computer Science • computer vision • conference proceedings • Databases • image coding • Image Processing • image reconstruction • Image Segmentation • Informatics • Learning Algorithms • Motion Estimation • Neural networks • Object detection • Object recognition • reconstruction • Research • segmentation methods • Semantics • Signal Processing • Software engineering • supervised learning • Support Vector Machines (SVM) • Telecommunication networks
ISBN-10	3-030-20869-9 / 3030208699
ISBN-13	978-3-030-20869-1 / 9783030208691
Zustand	Neuware