1 option
Computer Animation and Social Agents : 33rd International Conference on Computer Animation and Social Agents, CASA 2020, Bournemouth, UK, October 13-15, 2020, Proceedings / edited by Feng Tian, Xiaosong Yang, Daniel Thalmann, Weiwei Xu, Jian Jun Zhang, Nadia Magnenat Thalmann, Jian Chang.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Communications in computer and information science 1865-0937 ; 1300
- Communications in Computer and Information Science, 1865-0937 ; 1300
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Computer vision.
- Pattern recognition systems.
- Application software.
- User interfaces (Computer systems).
- Human-computer interaction.
- Artificial Intelligence.
- Computer Vision.
- Automated Pattern Recognition.
- Computer and Information Systems Applications.
- User Interfaces and Human Computer Interaction.
- Local Subjects:
- Artificial Intelligence.
- Computer Vision.
- Automated Pattern Recognition.
- Computer and Information Systems Applications.
- User Interfaces and Human Computer Interaction.
- Physical Description:
- 1 online resource (XII, 137 pages) : 64 illustrations, 56 illustrations in color.
- Edition:
- 1st ed. 2020.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2020.
- System Details:
- text file PDF
- Summary:
- This book constitutes the revised selected papers of the 33rd International Conference on Computer Animation and Social Agents, CASA 2020, held in Bournemouth, UK*, in October 2020. The 1 full paper and 13 short papers presented were carefully reviewed and selected from a total of 86 submissions. The papers are organized in topical sections of modelling, animation and simulation; virtual reality; image processing and computer vision. *The conference was held virtually due to the COVID-19 pandemic.
- Contents:
- Modelling, Animation and Simulation
- Virtual Reality
- Image Processing and Computer Vision.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-63426-1
- 9783030634261
- 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 If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.