Overview of three-dimensional shape measurement using optical methods

By Frank Chen, G. M. Brown, Mumin Song. 2000

1,509 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Media Technology

View Paper: https://www.semanticscholar.org/paper/6aa40a8fc12c7c8e121a790dc6179fae69e29e85

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

1. Song Zhang
2. Chao Zuo
3. Qian Chen
4. Lei Huang
5. Anand K. Asundi
6. Minliang Zhang
7. Qican Zhang
8. Shijie Feng

In Electrical and Electronic Engineering

1. Lei Huang
2. Anand K. Asundi
3. Chao Zuo
4. Qian Chen
5. Qican Zhang
6. G. Berkovic
7. Guohua Gu
8. Franco Docchio

In Media Technology

1. Lei Huang
2. Chao Zuo
3. Qian Chen
4. Anand K. Asundi
5. Qican Zhang
6. Minliang Zhang
7. Song Zhang
8. Shijie Feng

Citations in the corpus

• High-speed three-dimensional shape measurement for dynamic scenes using bi-frequency tripolar pulse-width-modulation fringe projection (2013, positive): “The three-dimensional (3-D) scene acquisition is becoming increasingly crucial in practical application fields such as machine design, industrial inspection, prototyping, machine vision, robotics, 3-D imaging, game industry, culture heritage protection, advertising, information exchange and other fi”
• Robot Guidance Using Machine Vision Techniques in Industrial Environments: A Comparative Review (2016, methodology): “Among all the structured light techniques, there are t o ain groups [53]: time-multiplexing techniques, which are based on projecting a sequence of binary or grey-scaled patterns, and one-shot techniques, hich project a i e tt r .”
• Optical methods for distance and displacement measurements (2012, background): “approximately 10 mm to 1 m [27].”
• Active vision in robotic systems: A survey of recent developments (2011, background): “…and Jain 1995); 3. review of sensor planning in the early staged (Tarabanis et al. 1995); 4. review of 3D shape measurement with active sensing (Chen et al. 2000); 5. review of surface reconstruction from multiple range images (Zhang et al. 2000); 6. review and comparison of view planning…”
• Dynamic 3-D shape measurement method: A review (2010, background): “Optical non-contact 3-D shape measurement technique (namely 3-D sensing) [1,2] is concerned with extracting the geometry information from the image of the measured object.”
• Analysis of the Accuracy and Robustness of the Leap Motion Controller (2013, background): “For a generalized overview of comparisons between the mechanisms, see, e.g. [7].”
• State-of-The-Art and Applications of 3D Imaging Sensors in Industry, Cultural Heritage, Medicine, and Criminal Investigation (2009, methodology): “Holographic methods typically yield range accuracy of a fraction of the light wavelength over microscopic fields of view [5, 53].”