首页> 外国专利> COMPUTING HIGH-RESOLUTION DEPTH IMAGES USING MACHINE LEARNING TECHNIQUES

COMPUTING HIGH-RESOLUTION DEPTH IMAGES USING MACHINE LEARNING TECHNIQUES

机译:使用机器学习技术计算高分辨率深度图像

摘要

A system trains a machine learning model to generate a high-resolution depth image. During a training phase, the system generates an accurate three dimensional reconstruction of a training scene such that the machine learning model is iteratively trained to minimize an error between the higher resolution depth image and the depth information in the accurate three dimensional reconstruction. During a real-time phase, the system applies the trained machine learning model to images captured from a scene of interest and generates a higher resolution depth image with higher accuracy. Thus, the higher resolution depth image can be subsequently used to solve computer vision problems.
机译:系统训练机器学习模型以生成高分辨率深度图像。在训练阶段,系统会生成训练场景的精确三维重建,以便对机器学习模型进行迭代训练,以最大程度地减小高分辨率深度图像和深度信息之间的误差,从而避免出现精确的三维重建。在实时阶段,系统将训练有素的机器学习模型应用于从感兴趣的场景捕获的图像,并以更高的精度生成更高分辨率的深度图像。因此,更高分辨率的深度图像可随后用于解决计算机视觉问题。

著录项

  • 公开/公告号US2019197667A1

    专利类型

  • 公开/公告日2019-06-27

    原文格式PDF

  • 申请/专利权人 FACEBOOK INC.;

    申请/专利号US201715854680

  • 发明设计人 BALMANOHAR PALURI;

    申请日2017-12-26

  • 分类号G06T3/40;H04N13;G06K9/46;G06K9/62;

  • 国家 US

  • 入库时间 2022-08-21 12:07:51

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