Multimodal Scene Understanding
  • Release Date : 16 July 2019
  • Publisher : Academic Press
  • Categories : Computers
  • Pages : 422 pages
  • ISBN 13 : 9780128173596
  • ISBN 10 : 0128173599
Score: 4
From 245 Ratings
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Synopsis : Multimodal Scene Understanding written by Michael Ying Yang, published by Academic Press which was released on 16 July 2019. Download Multimodal Scene Understanding Books now! Available in PDF, EPUB, Mobi Format. 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. 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