景深
视差
深度图
计算机视觉
人工智能
光学(聚焦)
焦点深度(构造)
计算机科学
自动对焦
镜头(地质)
计算
领域(数学)
点(几何)
深度知觉
实测深度
焦距
图像(数学)
立体视觉
数学
光学
算法
地质学
几何学
构造学
物理
古生物学
俯冲
纯数学
标识
DOI:10.1109/tpami.1987.4767940
摘要
This paper examines a novel source of depth information: focal gradients resulting from the limited depth of field inherent in most optical systems. Previously, autofocus schemes have used depth of field to measured depth by searching for the lens setting that gives the best focus, repeating this search separately for each image point. This search is unnecessary, for there is a smooth gradient of focus as a function of depth. By measuring the amount of defocus, therefore, we can estimate depth simultaneously at all points, using only one or two images. It is proved that this source of information can be used to make reliable depth maps of useful accuracy with relatively minimal computation. Experiments with realistic imagery show that measurement of these optical gradients can provide depth information roughly comparable to stereo disparity or motion parallax, while avoiding image-to-image matching problems.
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