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Computer Vision - ECCV 2018 Workshops : Munich, Germany, September 8-14, 2018, Proceedings, Part I / edited by Laura Leal-Taixé, Stefan Roth.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics ; SL 6, 11129
- Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 11129
- Language:
- English
- Subjects (All):
- Computer vision.
- Pattern recognition systems.
- Artificial intelligence.
- Computer graphics.
- Computers, Special purpose.
- Computer Vision.
- Automated Pattern Recognition.
- Artificial Intelligence.
- Computer Graphics.
- Special Purpose and Application-Based Systems.
- Local Subjects:
- Computer Vision.
- Automated Pattern Recognition.
- Artificial Intelligence.
- Computer Graphics.
- Special Purpose and Application-Based Systems.
- Physical Description:
- 1 online resource (XXVI, 750 pages) : 560 illustrations, 316 illustrations in color.
- Edition:
- 1st ed. 2019.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2019.
- System Details:
- text file PDF
- Summary:
- The six-volume set comprising the LNCS volumes 11129-11134 constitutes the refereed proceedings of the workshops that took place in conjunction with the 15th European Conference on Computer Vision, ECCV 2018, held in Munich, Germany, in September 2018. 43 workshops from 74 workshops proposals were selected for inclusion in the proceedings. The workshop topics present a good orchestration of new trends and traditional issues, built bridges into neighboring fields, and discuss fundamental technologies and novel applications.
- Contents:
- Visual Object Tracking Challenge
- Computer Vision for Road Scene Understanding and Autonomous Driving
- 3D Reconstruction in the Wild
- Visual Learning and Embodied Agents in Simulation Environments
- Bias Estimation in Face Analytics
- Recovering 6D Object Pose.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-11009-3
- 9783030110093
- Access Restriction:
- Restricted for use by site license.
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