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Computer Vision - ECCV 2018 Workshops : Munich, Germany, September 8-14, 2018, Proceedings, Part III / edited by Laura Leal-Taixé, Stefan Roth.
SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024) Available online
View online- Format:
- Book
- Series:
- Computer Science (Springer-11645)
- LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics ; SL 6, 11131.
- Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 11131
- Language:
- English
- Subjects (All):
- Optical data processing.
- Pattern perception.
- Artificial intelligence.
- Computer graphics.
- Computers, Special purpose.
- Image Processing and Computer Vision.
- Pattern Recognition.
- Artificial Intelligence.
- Computer Graphics.
- Special Purpose and Application-Based Systems.
- Local Subjects:
- Image Processing and Computer Vision.
- Pattern Recognition.
- Artificial Intelligence.
- Computer Graphics.
- Special Purpose and Application-Based Systems.
- Physical Description:
- 1 online resource (XXV, 747 pages) : 474 illustrations, 286 illustrations in color.
- Edition:
- First edition 2019.
- Contained In:
- Springer eBooks
- 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:
- Fashion, Art and Design
- Anticipating Human Behavior
- Geometry Meets Deep Learning
- Brain-Driven Computer Vision
- 3D Reconstruction Meets Semantics.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-11015-4
- 9783030110154
- Access Restriction:
- Restricted for use by site license.
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