Novel method for structured light system calibration
By Song Zhang, Peisen Huang. 2006
796 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Geology
View Paper: https://www.semanticscholar.org/paper/a1fbc23093c5244e217bb2108943b8efce7b33ee
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- S. S. Gorthi
- P. Rastogi
- Gabriel Taubin
- Daniel Moreno
- Song Zhang
- Sam Van der Jeught
- Joris J. J. Dirckx
- Chao Zuo
In Geology
Citations in the corpus
- Simple, Accurate, and Robust Projector-Camera Calibration (2012, methodology): “Finally, Zhang and Huang [15], and others ([7], [16]) employ structured-light patterns similarly to us, however, instead of computing projector point correspondences directly from the images as captured by the camera, they create new synthetic images from the projector’s viewpoint and feed them to s”
- Fringe projection techniques: Whither we are? (2010, methodology): “standard camera calibration techniques of the computer vision field [150, 151, 152].”
- Recent progresses on real-time 3D shape measurement using digital fringe projection techniques (2010, methodology): “Zhang and Huang proposed a appealing method [21].”
- High-speed 3D shape measurement with structured light methods: A review (2018, methodology): “Zhang and Huang [36] developed a method that is now extensively adopted in both academia and industry.”