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"Three Dimensional Shape Reconstruction with Dual-camera Measurement Fu" by Yuewen Zhu

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 Measurement , Active Stereo Vision , Assage Passing ,

"Motion induced error reduction methods for phase shifting profilometry" by Lei Lu, Vignesh Suresh et al.

Abstract
3D shape measurement using phase shifting profilometry (PSP) has been extensively studied by the researchers in the past few years. With the recent binary defocused method, the measurement speed of these systems have been increased significantly. Yet, measurement errors are inevitable while imaging dynamic scenes. This is mainly because PSP methods require the object to be static for a short period of time. Researchers have developed various methods to alleviate the motion-induced errors for PSP systems. This paper reviews the various state-of-the-art motion-induced error reduction methods. The various research methods are categorized into different groups and the principles behind each method was explained. We conducted experiments to compare the potential of different algorithms in compensating the motion-induced errors. A comparative discussion is also provided to serve as a reference for selection of methods under different application scenarios. Finally, further ....

3d Shape Measurement , Fringe Projection , High Speed , Otion Induced Error , Hase Shifting Profilometry , Structured Light ,