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Method and Apparatus for Robust Depth Image Estimation of Light Fields

机译:鲁棒深度图像光场估计的方法和装置

摘要

A robust light field depth image estimation method and apparatus are presented. The robust light field depth image estimation method proposed in the present invention measures the data cost by using the attributes of the light field image including each patch and the refocus image in order to estimate the data cost for the depth label candidates of the pixels of each patch Measuring the consistency of pixel colors of each patch by calculating each constrained entropy cost to calculate a data cost in a corresponding relationship between pixels of each patch; obtaining a pixel of each patch that is consistent with the occlusion phenomenon; The cost of data measured using the attributes of the light field image, the cost of the data for measuring the fitness for the depth label candidate, and the data cost for maintaining flatness between adjacent pixels. To normalize each constrained entropy cost and constrained adaptive non-focus (CAD) cost Sum and by including the step of forming a final cost data.
机译:提出了一种鲁棒的光场深度图像估计方法和装置。本发明提出的鲁棒的光场深度图像估计方法通过使用包括每个斑块和重新聚焦图像的光场图像的属性来测量数据成本,以便估计每个像素的深度标签候选的数据成本。补丁通过计算每个约束熵代价来计算每个补丁像素之间对应关系的数据代价,从而测量每个补丁像素颜色的一致性;获得与遮挡现象一致的每个斑块的像素;使用光场图像的属性测量的数据成本,用于测量深度标签候选者的适合度的数据成本以及用于维持相邻像素之间的平坦度的数据成本。为了标准化每个约束熵成本和约束自适应非聚焦(CAD)成本总和,并包括形成最终成本数据的步骤。

著录项

  • 公开/公告号KR101968406B1

    专利类型

  • 公开/公告日2019-04-11

    原文格式PDF

  • 申请/专利权人 인하대학교 산학협력단;

    申请/专利号KR20170068325

  • 发明设计人 박인규;윌리엄;

    申请日2017-06-01

  • 分类号G06T7/557;G06T7/90;

  • 国家 KR

  • 入库时间 2022-08-21 11:48:46

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