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Computer Vision - ECCV 2018 : 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part I / edited by Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss.
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, 11205.
- Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 11205
- Language:
- English
- Subjects (All):
- Optical data processing.
- Pattern perception.
- Artificial intelligence.
- Computer graphics.
- Biometry.
- Image Processing and Computer Vision.
- Pattern Recognition.
- Artificial Intelligence.
- Computer Graphics.
- Biometrics.
- Local Subjects:
- Image Processing and Computer Vision.
- Pattern Recognition.
- Artificial Intelligence.
- Computer Graphics.
- Biometrics.
- Physical Description:
- 1 online resource (XXX, 849 pages) : 304 illustrations.
- Edition:
- First edition 2018.
- Contained In:
- Springer eBooks
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2018.
- System Details:
- text file PDF
- Summary:
- The sixteen-volume set comprising the LNCS volumes 11205-11220 constitutes the refereed proceedings of the 15th European Conference on Computer Vision, ECCV 2018, held in Munich, Germany, in September 2018. The 776 revised papers presented were carefully reviewed and selected from 2439 submissions. The papers are organized in topical sections on learning for vision; computational photography; human analysis; human sensing; stereo and reconstruction; optimization; matching and recognition; video attention; and poster sessions.
- Contents:
- Learning for vision
- Computational photography
- Human analysis
- Human sensing
- Stereo and reconstruction
- Optimization
- Matching and recognition
- Video attention
- Poster sessions.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-01246-5
- 9783030012465
- Access Restriction:
- Restricted for use by site license.
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