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, Brand New, Free shipping in the US
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: 212.25 USD
Location: Jessup, Maryland
End Time: 2024-11-15T23:05:01.000Z
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Book Title: Multimodal Scene Understanding : Algorithms, Applications and Dee
Number of Pages: 422 Pages
Publication Name: Multimodal Scene Understanding : Algorithms, Applications and Deep Learning
Language: English
Publisher: Elsevier Science & Technology
Publication Year: 2019
Subject: Techniques / General, Signals & Signal Processing, Image Processing, Remote Sensing & Geographic Information Systems, Computer Vision & Pattern Recognition
Type: Textbook
Subject Area: Computers, Technology & Engineering, Photography
Author: Bodo Rosenhahn
Item Length: 9.2 in
Item Width: 7.5 in
Format: Trade Paperback
