Prof. Song Zhang is a professor of mechanical engineering at Purdue University. Previously, he was an assistant and associate professor of mechanical engineering at Iowa State University from 2008 to 2014. He received his Ph.D. degree in mechanical engineering from Stony Brook University in 2005. His major research interests are high-speed 3D optical metrology, 3D optical sensing, 3D video processing, human and computer interaction, and virtual reality. Dr. Zhang has published over 200 research articles including more than 100 journal papers; two book; and holds 3 US patents. A number of his journal articles have been featured on their covers or highlighted by the journal societies. Dr. Zhang received the NSF CAREER award, Stony Brook University's 40 under Forty Alumni Awards, Iowa State University's Early Career Engineering Faculty Research Award, Purdue University's Early Career Research Excellence Award, Discovery in Mechanical Engineering Award, along with others. He serves as an associate editor for Journal of Optics and Lasers in Engineering, and a Technical Editor for IEEE/ASME Transactions on Mechatronics. He is a fellow of SPIE and OSA.
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Reducing the number of structured patterns for three-dimensional (3-D) reconstruction is of great importance for high-speed 3-D shape measurement. We present a method that reconstructs absolute 3-D shape using three projected binary patterns: one direct current (DC), one low-frequency, and one high-frequency fringe pattern. The procedures are (1) take the difference between the sinusoidal fringe patterns and the DC pattern; (2) apply Hilbert transform to the difference images to generate two phase maps; (3) employ the geometric-constraint-based phase unwrapping method to unwrap the low-frequency phase map; (4) unwrap the high-frequency phase map using the unwrapped low-frequency phase map; and (5) reconstruct 3-D shape. We developed a prototype system that can capture two-dimensional images at 6000 Hz, achieving 2000 Hz 3-D shape measurement speed.
Comparison between LCOS projector and DLP projector in generating digital sinusoidal fringe patterns
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