1 option
Advances in Visual Computing : 16th International Symposium, ISVC 2021, Virtual Event, October 4-6, 2021, Proceedings, Part II / edited by George Bebis, Vassilis Athitsos, Tong Yan, Manfred Lau, Frederick Li, Conglei Shi, Xiaoru Yuan, Christos Mousas, Gerd Bruder.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics ; SL 6, 13018
- Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 13018
- Language:
- English
- Subjects (All):
- Pattern recognition systems.
- Computer vision.
- Artificial intelligence.
- Computer engineering.
- Computer networks.
- Automated Pattern Recognition.
- Computer Vision.
- Artificial Intelligence.
- Computer Engineering and Networks.
- Local Subjects:
- Automated Pattern Recognition.
- Computer Vision.
- Artificial Intelligence.
- Computer Engineering and Networks.
- Physical Description:
- 1 online resource (XXXVII, 526 pages) : 218 illustrations, 199 illustrations in color.
- Edition:
- 1st ed. 2021.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2021.
- System Details:
- text file PDF
- Summary:
- This two-volume set of LNCS 13017 and 13018 constitutes the refereed proceedings of the 16th International Symposium on Visual Computing, ISVC 2021, which was held in October 2021. The symposium took place virtually instead due to the COVID-19 pandemic. The 48 papers presented in these volumes were carefully reviewed and selected from 135 submissions. The papers are organized into the following topical sections: Part I: deep learning; computer graphics; segmentation; visualization; applications; 3D vision; virtual reality; motion and tracking; object detection and recognition. Part II: ST: medical image analysis; pattern recognition; video analysis and event recognition; posters.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-90436-4
- 9783030904364
- Access Restriction:
- Restricted for use by site license.
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.