Three dimensional measurement using likelihood function by multi-camera

T. Shimizu

doi:10.1117/12.2264888

14 May 2017 Three dimensional measurement using likelihood function by multi-camera

T. Shimizu

Proceedings Volume 10338, Thirteenth International Conference on Quality Control by Artificial Vision 2017; 103380T (2017) https://doi.org/10.1117/12.2264888
Event: The International Conference on Quality Control by Artificial Vision 2017, 2017, Tokyo, Japan

Abstract

This paper describes three-dimensional shape measurements by a multi-camera system and the correction of the measured points. First, a geometrical model is constructed using the positional relationship of the calibrated multi-camera. Because the cameras are located linearly on a thin plate whose curvature is changed by an actuator, Zhang’s method is employed in the calibration. Second, a three-dimensional object is measured on an epipolar plane. DP (Dynamic Programming) matching is used to determine the corresponding points and SSD (Sum of Squared Difference) is used as the local area windows. Third, the correlation coefficient is employed to determine the likelihood of the three-dimensional points, which are then set to correct and modify the measured points. Consequently, the measurement results more closely resemble the shape of the measured object.

Citation Download Citation

T. Shimizu "Three dimensional measurement using likelihood function by multi-camera", Proc. SPIE 10338, Thirteenth International Conference on Quality Control by Artificial Vision 2017, 103380T (14 May 2017); https://doi.org/10.1117/12.2264888

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