SciPy-stereo-sgm:立体图像深度重建,包括全部获胜者通吃(WTA)和具有绝对差之和(SAD),平方差之和(SSD)和归一化互相关的半全局匹配(SGM) (NCC)基于匹配的成本,使用Numpy和Numba在Python中实现,包括Jupyter Notebook-源码

上传者: 42115074 | 上传时间: 2021-04-24 17:31:01 | 文件大小: 5.59MB | 文件类型: ZIP
立体声匹配 *作者: (2020年1月) 总览 这个小工具是简单的立体声匹配的手动实现。 从不同的角度拍摄的两个经过校正的图像: 左图 正确的图像 通过两个匹配算法来组合以深度图像,简单胜者为王它,所有(WTA)或更复杂的半全局匹配(SGM)与绝对差的几个匹配成本(和(SAD),总和平方差(SAD)或归一化互相关(NCC) )。 使用accX精度度量将结果与真实情况进行比较,不包括使用遮罩遮挡的像素。 公式 有关所涉及公式的精确细节(匹配成本,匹配算法和精度度量),请参阅Theory.pdf 。 文件 输入图像的data/目录(左眼和右眼) output/生成深度图像输出的目录 Ma

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