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Depth camera system with machine learning for recognition of patches within a structured light pattern

机译:具有机器学习功能的深度相机系统,用于识别结构化光图案中的色块

摘要

Generally, this disclosure provides systems, devices, methods and computer readable media for a depth camera with ML techniques for recognition of patches within an SL pattern. The system may include a projection module to project an ML-based SL pattern onto a scene; a camera to receive an image of the SL pattern reflected from the scene; a patch recognition and location module to generate a descriptor vector for a patch segmented from the received image and to query an ML system with the descriptor vector, the ML system configured to provide a patch label associated with the descriptor vector, the patch label comprising a location of the patch relative to the projected SL pattern; and a depth estimation module to triangulate a distance between the camera and a region of the scene associated with the patch based on the location of the patch relative to the projected SL pattern.
机译:通常,本公开提供用于具有ML技术的深度相机的系统,设备,方法和计算机可读介质,所述ML技术用于识别SL图案内的斑块。该系统可以包括投影模块,以将基于ML的SL图案投影到场景上。照相机接收从场景反射的SL图案的图像;补丁识别和定位模块,用于为从接收到的图像中分割出的补丁生成描述符向量,并使用该描述符向量查询ML系统,该ML系统配置为提供与描述符向量相关联的补丁标签,该补丁标签包括:补丁相对于投影SL模式的位置;深度估计模块,用于基于所述补丁相对于所述投影的SL图案的位置,对所述照相机与与所述补丁相关联的场景的区域之间的距离进行三角测量。

著录项

  • 公开/公告号US9025863B2

    专利类型

  • 公开/公告日2015-05-05

    原文格式PDF

  • 申请/专利权人 INTEL CORPORATION;

    申请/专利号US201313929272

  • 发明设计人 DROR REIF;

    申请日2013-06-27

  • 分类号G06K9/00;G06T7/00;H04N13/02;

  • 国家 US

  • 入库时间 2022-08-21 15:17:06

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