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Recently, three-dimensional (3D) shape measurement technologies have been extensively researched in the fields such as computer science and medical engineering. They have been applied in various industries and commercial uses, including robot navigation, reverser engineering and face and gesture recognition. Optical 3D shape measurement is one of the most popular methods, which can be divided into two categories: passive 3D shape reconstruction and active 3D shape imaging. Passive 3D shape measurement techniques use cameras to capture the object with only ambient light. Stereo vision (SV) is one of the typical methods in passive 3D measurement approaches. This method uses two cameras to take photos of the scene from different viewpoints and extract the 3D information by establishing the correspondence between the photos captured. To translate the correspondence to the depth map, epipolar geometry is applied to determine the depth of each pixel. Active 3D shape imaging methods add diver

3d shape measurementActive stereo visionAssage passing