Error compensation for a three-dimensional shape measurement system

By Peisen Huang, Qingying Hu, F. Chiang. 2003

61 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Computer Vision and Pattern Recognition, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/b92498de8a03b88ca9c0e5e7e7c8bf34d004865d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Civil and Structural Engineering

1. S. S. Gorthi
2. Song Zhang
3. P. Rastogi

In Computer Vision and Pattern Recognition

1. S. S. Gorthi
2. P. Rastogi
3. Song Zhang
4. Sam Van der Jeught
5. Joris J. J. Dirckx
6. Chao Zuo
7. Qian Chen

In Mechanical Engineering

1. S. S. Gorthi
2. Song Zhang
3. P. Rastogi

Citations in the corpus

• High-speed 3D shape measurement with structured light methods: A review (2018, methodology): “Although numerous methods have been developed for structured light system calibration [29–35] , they are conventionally difficult and complex because the projector cannot freely capture images like a camera.”
• Fringe projection techniques: Whither we are? (2010, methodology): “caused by the equipment used and proposing possible corrections [63, 64, 65, 66], developing new fringe analysis methods to extract underlying phase distribution [67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83], improving existing fringe analysis methods [84, 85, 86, 87, 88, 89, ”