Mr. Yargo V. Tessaro Profile

Yargo V. Tessaro

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SPIE Journal Paper | 13 February 2021 Open Access

Objective color calibration for manufacturing facial prostheses

Yargo Tessaro, Sergio Furuie, Denise Nakamura

JBO, Vol. 26, Issue 02, 025002, (February 2021) https://doi.org/10.1117/12.10.1117/1.JBO.26.2.025002

KEYWORDS: Calibration, Skin, Manufacturing, Printing, Image segmentation, Cameras, RGB color model, Image processing, Spectrophotometry, Photography

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Significance: Rehabilitation through facial prostheses’ main goal is to aid individual’s social reintegration as well as improving their quality of life. However, this treatment is not yet widely available in Brazil due to the lack of specialized clinics and the cost associated with the high number of necessary medical appointments until the final result. One of the steps in the process consists of measuring skin color, which is observer-dependent and may suffer from the effect of metamerism. Aim: The methodology of our work aims to obtain a standard between different devices and greater fidelity to the color seen in person in order to reduce face-to-face iterations, reduce costs, and ensure better final results. Approach: A physical device and a computer program were improved from previous projects. The changes included implementing the Thin-Plate Spline 3D algorithm for color calibration, in addition to an optional non-uniform illumination correction in the process. We also aim to improve the project’s accessibility using a colorimeter. The methodology and the algorithms were both compared to readings from direct skin measurements as well as color references. Results: After processing, the ΔEab* metric between images from the same segments is taken with different cameras and conditions of illumination decreased from 18.81 ± 4.85 to 4.85 ± 1.72. In addition, when the images were compared to colorimetric readings of the skin, the difference went from 14.93 ± 4.11 to 5.85 ± 1.61. It was also observed that using a less expensive device did not impact the readings. The project is open source and available at Github. Conclusions: The results demonstrate the possibility of applying the methodology to assist in the manufacturing of facial prostheses to decrease the total number of consultations, in addition to providing greater reliability of the final result.

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