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Stereo vision based approach for extracting features from digital holograms

机译:基于立体视觉的数字全息图提取特征的方法

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We have shown that a traditional computer stereo vision approach can be used in digital holography with different capture setups to obtain depth information of a 3D real-world object. The approach is particularly useful where phase information in the reconstructed domain cannot be readily used to infer depth. Our method uses amplitude reconstruction information only and works well with noisy images, particularly as a result of extending the depth of field, if they have sufficient contrast with their backgrounds.
机译:我们已经表明,传统的计算机立体声视觉方法可以用不同的捕获设置在数字全息术中使用,以获得3D真实世界对象的深度信息。该方法特别有用,其中重建域中的相位信息不能容易地用于推断深度。我们的方法仅使用幅度重建信息,并且与嘈杂的图像良好,特别是由于延伸景深,如果它们与其背景具有足够的对比度。

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