Today 3D content is part of many applicative fields, consumer or industrial. Its production requires perfectly matched images. This paper focuses on the color calibration, so that both images have the same chromatic content on the same image elements. Previous methods have shown theirs limits, thus we propose a novel technique based on the disparity map produced by modern matching algorithms. Using this map, we produce for each color plane a 2D data set from corresponding pixels. From this set, we compute the best fitting of a normalised polynomial model. Additional techniques are used to remove outliers and improve the fitting. The polynomial model is then used to correct one image so that its chromatic content fits the other image. Experimental results are provided that show benefits of this technique on some sample image pairs.

Date Published: 6 March 2014
PDF: 7 pages
Proc. SPIE 9013, Three-Dimensional Image Processing, Measurement (3DIPM), and Applications 2014, 90130G (6 March 2014); doi: 10.1117/12.2040438

Published in SPIE Proceedings Vol. 9013:
Three-Dimensional Image Processing, Measurement (3DIPM), and Applications 2014
Atilla M. Baskurt; Robert Sitnik, Editor(s)