Multimodal Scene Understanding is popular PDF and ePub book, written by Michael Yang in 2019-07-16, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Multimodal Scene Understanding can be Read Online from any device for your convenience.
Multimodal Scene Understanding Book PDF Summary
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
Detail Book of Multimodal Scene Understanding PDF
- Author : Michael Yang
- Release : 16 July 2019
- Publisher : Academic Press
- ISBN : 9780128173596
- Genre : Computers
- Total Page : 422 pages
- Language : English
- PDF File Size : 19,8 Mb
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