Using Chromostereopsis to Enhance Depth Perception in Photos by changing the Hue

Bachelor Thesis (2022)
Author(s)

H.G.E. Westermann (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Contributor(s)

P. Kellnhofer – Mentor (TU Delft - Electrical Engineering, Mathematics and Computer Science)

E. Eisemann – Mentor (TU Delft - Electrical Engineering, Mathematics and Computer Science)

J.C. van Gemert – Graduation committee member (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Faculty
Electrical Engineering, Mathematics and Computer Science
More Info
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Publication Year
2022
Language
English
Graduation Date
24-06-2022
Awarding Institution
Delft University of Technology
Project
CSE3000 Research Project
Programme
Computer Science and Engineering
Faculty
Electrical Engineering, Mathematics and Computer Science
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Abstract

The following paper explores the use of chromostereopsis for the purpose of enhancing the perceived depth in photos. Contrary to previous work, this is achieved by using a continuous depth map as input and creating a natural-looking photo with enhanced depth even when viewed without any type of three dimension technology. This is the first algorithm to achieve this effect by shifting the hue and shows that it is possible to exploit chromostereopsis for depth enhancement by solely changing the hue values. We perform a user study to examine the properties of naturally occurring chromostereopsis, with focus on the reversal effect caused by the lightness of the background. The results of the user study are used in the algorithm, which can be applied to any photo with a depth map. We show the results and analyse them on six example images that highlight limitations and strengths of the algorithm.

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