A portable foot-parameter-extracting system

MingKai Zhang; Jin Liang; Wenpan Li; Shifan Liu

doi:10.1117/12.2268056

8 March 2017 A portable foot-parameter-extracting system

MingKai Zhang, Jin Liang, Wenpan Li, Shifan Liu

Proceedings Volume 10255, Selected Papers of the Chinese Society for Optical Engineering Conferences held October and November 2016; 102553X (2017) https://doi.org/10.1117/12.2268056
Event: Selected Papers of the Chinese Society for Optical Engineering Conferences held October and November 2016, 2016, Jinhua, Suzhou, Chengdu, Xi'an, Wuxi, China

Abstract

In order to solve the problem of automatic foot measurement in garment customization, a new automatic footparameter- extracting system based on stereo vision, photogrammetry and heterodyne multiple frequency phase shift technology is proposed and implemented. The key technologies applied in the system are studied, including calibration of projector, alignment of point clouds, and foot measurement. Firstly, a new projector calibration algorithm based on plane model has been put forward to get the initial calibration parameters and a feature point detection scheme of calibration board image is developed. Then, an almost perfect match of two clouds is achieved by performing a first alignment using the Sampled Consensus – Initial Alignment algorithm (SAC-IA) and refining the alignment using the Iterative Closest Point algorithm (ICP). Finally, the approaches used for foot-parameterextracting and the system scheme are presented in detail. Experimental results show that the RMS error of the calibration result is 0.03 pixel and the foot parameter extracting experiment shows the feasibility of the extracting algorithm. Compared with the traditional measurement method, the system can be more portable, accurate and robust.

Citation Download Citation

MingKai Zhang, Jin Liang, Wenpan Li, and Shifan Liu "A portable foot-parameter-extracting system", Proc. SPIE 10255, Selected Papers of the Chinese Society for Optical Engineering Conferences held October and November 2016, 102553X (8 March 2017); https://doi.org/10.1117/12.2268056

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KEYWORDS

Clouds

Calibration

Projection systems

Cameras

Head

Linear filtering

Structured light

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