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SYSTEMS AND METHODS FOR DEPTH ESTIMATION USING MONOCULAR IMAGES

机译:使用单图像进行深度估计的系统和方法

摘要

System, methods, and other embodiments described herein relate to generating depth estimates from a monocular image. In one embodiment, a method includes, in response to receiving the monocular image, flipping, by a disparity model, the monocular image to generate a flipped image. The disparity model is a machine learning algorithm. The method includes analyzing, using the disparity model, the monocular image and the flipped image to generate disparity maps including a monocular disparity map corresponding to the monocular image and a flipped disparity map corresponding with the flipped image. The method includes generating, in the disparity model, a fused disparity map from the monocular disparity map and the flipped disparity map. The method includes providing the fused disparity map as the depth estimates of objects represented in the monocular image.
机译:本文描述的系统,方法和其他实施例涉及从单眼图像生成深度估计。在一个实施例中,一种方法包括:响应于接收到单眼图像,通过视差模型翻转单眼图像以生成翻转图像。视差模型是一种机器学习算法。该方法包括使用视差模型分析单眼图像和翻转图像以生成视差图,该视差图包括与单眼图像相对应的单眼视差图和与翻转图像相对应的翻转视差图。该方法包括在视差模型中从单眼视差图和翻转的视差图生成融合的视差图。该方法包括提供融合的视差图作为单眼图像中表示的对象的深度估计。

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