Multimodal Scene Understanding

Algorithms, Applications and Deep Learning

Michael Ying Yang, Bodo Rosenhahn, Vittorio Murino
Elsevier S&T
422 pages
ISBN-13: 978-0128173589
July 2019

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.