Зарегистрироваться
Восстановить пароль
FAQ по входу

Yang M., Rosenhahn B., Murino V. (Eds.) Multimodal Scene Understanding: Algorithms, Applications and Deep Learning

  • Файл формата pdf
  • размером 10,52 МБ
  • Добавлен пользователем
  • Отредактирован
Yang M., Rosenhahn B., Murino V. (Eds.) Multimodal Scene Understanding: Algorithms, Applications and Deep Learning
Academic Press, 2019. — 419 p. — ISBN 978-0-12-817358-9.
This book 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.
True PDF
  • Чтобы скачать этот файл зарегистрируйтесь и/или войдите на сайт используя форму сверху.
  • Регистрация