激光与光电子学进展, 2018, 55 (5): 050007, 网络出版: 2018-09-11
深度学习在视觉定位与三维结构恢复中的研究进展 下载: 2094次
Research Progress of Deep Learning in Visual Localization and Three-Dimensional Structure Recovery
视觉光学 三维感知 视觉定位 深度估计 深度学习 研究进展 visual optics three-dimensional perception vision localization depth estimation deep learning research progress
摘要
介绍了利用深度学习从图像或视频中恢复三维结构、进行深度估计和实现视觉传感器实时定位方面的研究与应用;对深度学习的研究概况进行了介绍;深入分析和比较了有无监督情况下具有代表性的深度学习算法和系统;对近年来深度学习方面的研究热点进行了讨论,并进行了总结和展望。
Abstract
Research and application of deep learning in recovery of three-dimensional structure from image or video, depth estimation, and real-time localization of visual sensor are introduced. Research progress of deep learning is overviewed. According to whether there is supervision, some representative deep learning algorithms and systems are introduced individually with deep analysis and comparison. Finally, the research spots on deep learning in recent years are discussed, conclusions are presented, and some research tendencies are discussed.
鲍振强, 李艾华, 崔智高, 袁梦. 深度学习在视觉定位与三维结构恢复中的研究进展[J]. 激光与光电子学进展, 2018, 55(5): 050007. Zhenqiang Bao, Aihua Li, Zhigao Cui, Meng Yuan. Research Progress of Deep Learning in Visual Localization and Three-Dimensional Structure Recovery[J]. Laser & Optoelectronics Progress, 2018, 55(5): 050007.