深度编码形状从焦点

Martin Lenz, David Ferstl, M. Rüther, H. Bischof
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引用次数: 2

摘要

提出了一种用于光学显微镜高速形状重建的新型聚焦形状重建方法。传统的聚焦形状方法严重依赖于表面纹理的存在,并且需要相当多的测量时间,而我们的方法能够仅从两幅图像中进行重建。我们的方法依赖于二值模式序列的快速投影,同时物体在相机焦距范围内连续移动,并连续曝光单幅图像。积分图像的反卷积允许二进制模式及其相关深度的直接解码。在合成数据集和真实场景中进行的实验表明,与传统的聚焦形状相比,重建深度图只需要3%的内存成本和一小部分计算量。
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Depth coded shape from focus
We present a novel shape from focus method for high- speed shape reconstruction in optical microscopy. While the traditional shape from focus approach heavily depends on presence of surface texture, and requires a considerable amount of measurement time, our method is able to perform reconstruction from only two images. Our method relies the rapid projection of a binary pattern sequence, while object is continuously moved through the camera focus range and a single image is continuously exposed. Deconvolution of the integral image allows a direct decoding of binary pattern and its associated depth. Experiments a synthetic dataset and on real scenes show that a depth map can be reconstructed at only 3% of memory costs and fraction of the computational effort compared with traditional shape from focus.
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