The Perfect Picture: Optimising Chromostereoscopic Images for Desired Depth and Colour
T. Sjerps (TU Delft - Electrical Engineering, Mathematics and Computer Science)
E. Eisemann – Mentor (TU Delft - Computer Graphics and Visualisation)
P. Kellnhofer – Mentor (TU Delft - Computer Graphics and Visualisation)
J.C. van Gemert – Graduation committee member (TU Delft - Pattern Recognition and Bioinformatics)
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Abstract
Chromostereoscopic images encode depth as colour, with the red part of the visible spectrum encoding nearby depths and the blue part encoding far-away depths. However, when encoding a regular image with its depth, the generated colours may not match with the original colours in the image. Following a user study, a technique has been developed which takes both the chromostereoscopic effect and the original colours into consideration.
This problem was solved by creating a program to generate chromostereoscopic images from an arbitrary RGBD input image. An optimisation metric was devised to assess if a chromostereoscopic image takes both the target depth and original image into consideration. A user study was conducted to correct this metric with respect to human perception. The new technique can take a desired amount of original colour and chromostereoscopic depth and will generate a chromostereoscopic image, taking these preferences into account.