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Method for recovering a relative depth map from a single image or a sequence of still images

机译:从单个图像或一系列静止图像恢复相对深度图的方法

摘要

Method for recovering a relative depth map from a single image or a sequence of still images, comprising:- decomposing the image into sets Uλ, each formed by pixels whose intensity is in a predefined interval;- decomposing sets Uλ into connected components Ciλ, a subset of adjacent pixels according to a connectivity rule;- for each connected component Ciλ, computing membership measures indicative of the probability of each pixel x ∉ Ciλ to belong to it and being a function of:• the distance Ciλ) from the pixel x to said connected component Ciλ;• the curvature κx⁢Ciλ of the level line of the distance function Ciλ) from the pixel x to said connected component Ciλ;- for each pixel x of the image, compute a local depth feature Z(x) indicative of the probability of the pixel x belonging simultaneously to different connected components and which provides a relative depth order estimation at pixel x.
机译:从单个图像或静止图像序列中恢复相对深度图的方法,包括:-将图像分解成集合Uλ,每个集合由强度在预定间隔内的像素形成;-根据连通性规则将集合Uλ分解成连接的分量Ciλ,即相邻像素的子集;-对于每个连接的分量Ciλ,计算成员关系的度量表示每个像素x∉Ciλ属于它的概率,并且是以下各项的函数:·从像素x到所述连接分量Ciλ的距离Ciλ);·从像素x到所述连接分量Ciλ的距离函数Ciλ)的水平线的曲率κx⁢Ciλ;-对于图像的每个像素x,计算局部深度特征Z(x),该局部深度特征Z(x)表示像素x同时属于不同连接的分量的概率,并提供像素x处的相对深度顺序估计。

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