Description: Multimodal Scene Understanding : Algorithms, Applications and Deep Learning, Paperback by Yang, Michael (EDT); Rosenhahn, Bodo (EDT); Murino, Vittorio (EDT), ISBN 0128173580, ISBN-13 9780128173589, Like New Used, Free P&P in the UK
Multimodal Scene Understanding: Algorithms, Applications and Deep Learning presents recent advances in multi-modal computing, with a focus on computer vision and photogrammetry. It provides the latest algorithms and applications that involve combining multiple sources of information and describes the role and approaches of multi-sensory data and multi-modal deep learning. Th is ideal for researchers from the fields of computer vision, remote sensing, robotics, and photogrammetry, thus helping foster interdisciplinary interaction and collaboration between these realms.
Researchers collecting and analyzing multi-sensory data collections – for example, KITTI benchmark (stereo+laser) - from different platforms, such as autonomous vehicles, surveillance cameras, UAVs, planes and satellites will find this book to be very useful.
- Contains state-of-the-art developments on multi-modal computing
- Shines a focus on algorithms and applications
- Presents novel deep learning topics on multi-sensor fusion and multi-modal deep learning
Price: 179.21 GBP
Location: Castle Donington
End Time: 2024-11-24T03:24:26.000Z
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Book Title: Multimodal Scene Understanding : Algorithms, Applications and Dee
Item Height: 235 mm
Item Width: 191 mm
Author: Michael Yang, Bodo Rosenhahn, Vittorio Murino
Publication Name: Multimodal Scene Understanding: Algorithms, Applications and Deep Learning
Format: Paperback
Language: English
Publisher: Elsevier Science Publishing Co INC International Concepts
Subject: Computer Science
Publication Year: 2019
Type: Textbook
Item Weight: 860 g
Number of Pages: 422 Pages
