Multimodal Scene Understanding - Algorithms, Applications and Deep Learning (Paperback)

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. The book 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.

General

Imprint:	Academic Press Inc
Country of origin:	United States
Release date:	July 2019
First published:	2019
Editors:	Michael Yang • Bodo Rosenhahn • Vittorio Murino
Dimensions:	235 x 191mm (L x W)
Format:	Paperback
Pages:	422
ISBN-13:	978-0-12-817358-9
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision Books > Computing & IT > Applications of computing > Image processing > General Promotions
LSN:	0-12-817358-0
Barcode:	9780128173589

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