S
Song Zhang
Researcher at Purdue University
Publications - 265
Citations - 13547
Song Zhang is an academic researcher from Purdue University. The author has contributed to research in topics: Projector & Structured-light 3D scanner. The author has an hindex of 49, co-authored 239 publications receiving 10908 citations. Previous affiliations of Song Zhang include Stony Brook University & Iowa State University.
Papers
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Journal ArticleDOI
The status, challenges, and future of additive manufacturing in engineering
Wei Gao,Yunbo Zhang,Devarajan Ramanujan,Karthik Ramani,Yong Chen,Christopher B. Williams,Charlie C. L. Wang,Yung C. Shin,Song Zhang,Pablo D. Zavattieri +9 more
TL;DR: Future directions such as the "print-it-all" paradigm, that have the potential to re-imagine current research and spawn completely new avenues for exploration are pointed out.
Journal ArticleDOI
Recent progresses on real-time 3D shape measurement using digital fringe projection techniques
TL;DR: The principles of the real-time 3D shape measurement techniques that were developed are presented, the most recent progresses that have been made in this field are summarized, and the challenges for advancing this technology further are discussed.
Journal ArticleDOI
Novel method for structured light system calibration
Song Zhang,Peisen S. Huang +1 more
TL;DR: A novel systematic method is proposed for accurate and quick calibration of a 3-D shape measurement system based on a structured light technique to enable the projector to "capture" images like a camera, thus making the calibration ofA projector the same as that of a camera.
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High-speed 3D shape measurement with structured light methods: A review
TL;DR: The fundamental principles behind the primary state-of-the-art 3D shape measurement techniques based on structured light methods will be elucidated, experimental results will be presented to demonstrate capabilities and/or limitations for those popular techniques, and perspectives on those remaining challenges to be conquered to make advanced 3Dshape measurement techniques ubiquitous are presented.
Journal ArticleDOI
High-resolution, real-time three-dimensional shape measurement
Song Zhang,Peisen S. Huang +1 more
TL;DR: With this system, together with the fast three-step phase-shifting algorithm and parallel processing software, high-resolution, real-time 3-D shape measurement is realized at a frame rate of up to 40 frames/s and a resolution of 532×500 points per frame.