Multimodal Scene Understanding Algorithms, Applications and Deep Learning Ying
Multimodal Scene Understanding\n\nAlgorithms, Applications and Deep Learning\n\nA unique presentation of multi-sensory data and multi-modal deep learning\n\nMichael Ying Yang (Edited by), Bodo Rosenhahn (Edited by), Vittorio Murino (Edited by)\n\n9780128173589, Elsevier Science\n\nPaperback / softback, published 17 July 2019\n\n422 pages\n23.5 x 19 x 2.7 cm, 0.86 kg\n\nMultimodal 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.\nResearchers collecting and analyzing multi-s]
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