Computer Vision - ECCV 2018 Workshops - Munich, Germany, September 8-14, 2018, Proceedings, Part I

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.

List of 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.

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.

Product details

• Assisted by: Laur Leal-Taixé (Editor), Laura Leal-Taixé (Editor), Roth (Editor), Roth (Editor), Stefan Roth (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 01.01.2019
• EAN: 9783030110086
• ISBN: 978-3-0-3011008-6
• No. of pages: 750
• Dimensions: 154 mm x 51 mm x 235 mm
• Weight: 1164 g
• Illustrations: XXVI, 750 p. 560 illus., 316 illus. in color.
• Series: Lecture Notes in Computer Science; Image Processing, Computer Vision, Pattern Recognition, and Graphics; Lecture Notes in Computer Science; Image Processing, Computer Vision, Pattern Recognition, and Graphics
• Subject: Natural sciences, medicine, IT, technology > IT, data processing > Application software