- Добавил: buratino
- Дата: 19-09-2019, 23:19
- Комментариев: 0

Автор: Ying Yang, Michael (Editor), Bodo Rosenhahn (Editor), Vittorio Murino (Editor)
Издательство: Academic Press
Год: 2019
Формат: pdf(conv.)
Страниц: 422
Размер: 81.9 Mb
Язык: English
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.