JOURNAL ARTICLE

Depth Image Generation from monocular RGB image

Tadahiro OYAMADaisuke Matsuzaki

Year: 2019 Journal:   The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) Vol: 2019 (0)Pages: 2P2-H09   Publisher: Japan Society Mechanical Engineers

Abstract

In recent years, Visual SLAM using only monocular RGB camera has been researched. In this paper, we propose a method to generate depth images from a single RGB image using GAN, which is one of deep learning. As a result of the verification experiments, it is suggested that the depth prediction can be done, although it is large for both indoor and outdoor images. Future tasks include verification experiments using large-scale datasets.

Keywords:
Artificial intelligence RGB color model Monocular Computer vision Computer science Image (mathematics) Scale (ratio) Deep learning Geography Cartography

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Topics

Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Robotics and Sensor-Based Localization
Physical Sciences →  Engineering →  Aerospace Engineering
Advanced Image and Video Retrieval Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
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