基于自监督学习的单目图像深度估计（英文版）

英文标题：Self-Supervised Learning based Depth Estimation from Monocular Images中文摘要：这个研究探讨了如何通过使用卷积神经网络和其它技术来优化和扩展基于深度学习的深度估计模型，以提高相机获取的图像的三维深度感知的精度。英文摘要：Depth Estimation has wide reaching applications in the field of Computervision such as target tracking, augmented reality, and self-driving cars. Thegoal of Monocular Depth Estimation is to predict the depth map, given a 2Dmonocular RGB image as input. The traditional depth estimation methods arebased on depth cues and used concepts like epipolar ge