3D shape measurement using image-matching-based techniques

Zhaoyang Wang; Hieu Nguyen

doi:10.1117/12.2264825

1 May 2017 3D shape measurement using image-matching-based techniques

Zhaoyang Wang, Hieu Nguyen

Proceedings Volume 10220, Dimensional Optical Metrology and Inspection for Practical Applications VI; 1022003 (2017) https://doi.org/10.1117/12.2264825
Event: SPIE Commercial + Scientific Sensing and Imaging, 2017, Anaheim, CA, United States

Abstract

Image matching involves detecting the same points in two or multiple images that are captured from different viewpoints, at different time, and/or by different cameras. This paper presents using the image-matching-based techniques to carry out the static and dynamic 3D shape measurements. The process contains two crucial steps: (1) calibrate the cameras to get the intrinsic and extrinsic parameters; (2) perform matching of pixel points to detect the location disparities of the same physical points in the involved two or multiple images. A number of experiments are shown to demonstrate the applications to 3D shape, deformation, motion and vibration measurements.

Citation Download Citation

Zhaoyang Wang and Hieu Nguyen "3D shape measurement using image-matching-based techniques", Proc. SPIE 10220, Dimensional Optical Metrology and Inspection for Practical Applications VI, 1022003 (1 May 2017); https://doi.org/10.1117/12.2264825

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