An evaluation of interactive image matting techniques supported by eye tracking

Christoph Rhemann; Margrit Gelautz; Bernhard Fölsner

doi:10.1117/12.805379

19 January 2009 An evaluation of interactive image matting techniques supported by eye tracking

Christoph Rhemann, Margrit Gelautz, Bernhard Fölsner

Proceedings Volume 7242, Image Quality and System Performance VI; 72420V (2009) https://doi.org/10.1117/12.805379
Event: IS&T/SPIE Electronic Imaging, 2009, San Jose, California, United States

Abstract

Recently, the quantitative evaluation of interactive single image matting techniques has become possible by the introduction of high-quality ground truth datasets. However, quantitative comparisons conducted in previous work are based on error metrics (e.g. sum of absolute differences) that are not necessarily correlated to the visual quality of the image as perceived by the user. This motivates research to better understand the perception of errors inherent to matting algorithms, in order to provide the ground for a future design of error metrics that better reflect the subjective impression of the human observer. In this work we gain novel insights into the perception of errors due to imperfect matting results. To investigate these errors, we compare two recent state-of-the-art matting algorithms in a user study. We use an eye-tracker to reveal details of the decision making of the users. The data acquired in the user study show a considerable correlation between expert knowledge in photography and the ability of the user to detect errors in the image. This is also reflected in the eye-tracking data which reveals different types of scanning paths dependent on the experience of the user.

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Christoph Rhemann, Margrit Gelautz, and Bernhard Fölsner "An evaluation of interactive image matting techniques supported by eye tracking", Proc. SPIE 7242, Image Quality and System Performance VI, 72420V (19 January 2009); https://doi.org/10.1117/12.805379

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KEYWORDS

Error analysis

Image quality

Eye

Photography

Visualization

Image compression

Light sources and illumination

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