Joanna Marguier
École Polytechnique Fédérale de Lausanne
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Publication
Featured researches published by Joanna Marguier.
International Journal of Imaging Systems and Technology | 2007
Joanna Marguier; Nina Bhatti; Harlyn Baker; Michael Harville; Sabine Süsstrunk
Images of a scene captured with multiple cameras will have different color values because of variations in color rendering across devices. We present a method to accurately retrieve color information from uncalibrated images taken under uncontrolled lighting conditions with an unknown device and no access to raw data, but with a limited number of reference colors in the scene. The method is used to assess skin tones. A subject is imaged with a calibration target. The target is extracted and its color values are used to compute a color correction transform that is applied to the entire image. We establish that the best mapping is done using a target consisting of skin colored patches representing the whole range of human skin colors. We show that color information extracted from images is well correlated with color data derived from spectral measurements of skin. We also show that skin color can be consistently measured across cameras with different color rendering and resolutions ranging from 0.1 to 4.0 megapixels.
Proceedings of SPIE | 2010
Nina Bhatti; Harlyn Baker; Joanna Marguier; Jérôme Berclaz; Sabine Süsstrunk
Camera phones are ubiquitous, and consumers have been adopting them faster than any other technology in modern history. When connected to a network, though, they are capable of more than just picture taking: Suddenly, they gain access to the power of the cloud. We exploit this capability by providing a series of image-based personal advisory services. These are designed to work with any handset over any cellular carrier using commonly available Multimedia Messaging Service (MMS) and Short Message Service (SMS) features. Targeted at the unsophisticated consumer, these applications must be quick and easy to use, not requiring download capabilities or preplanning. Thus, all application processing occurs in the back-end system (i.e., as a cloud service) and not on the handset itself. Presenting an image to an advisory service in the cloud, a user receives information that can be acted upon immediately. Two of our examples involve color assessment - selecting cosmetics and home décor paint palettes; the third provides the ability to extract text from a scene. In the case of the color imaging applications, we have shown that our service rivals the advice quality of experts. The result of this capability is a new paradigm for mobile interactions - image-based information services exploiting the ubiquity of camera phones.
color imaging conference | 2007
Joanna Marguier; Nina Bhatti; Harlyn Baker; Michael Harville; Sabine Süsstrunk
color imaging conference | 2003
David Alleysson; Sabine Süsstrunk; Joanna Marguier
Proceedings of SPIE | 2010
Nina Bhatti; Harlyn Baker; Hui Chao; Scott H. Clearwater; Michael Harville; Jhilmil Jain; Nic Lyons; Joanna Marguier; John C. Schettino; Sabine Süsstrunk
color imaging conference | 2009
Joanna Marguier; Nina Bhatti; Harlyn Baker; Sabine Süsstrunk
Proceedings of ISCC/CIE Expert Symposium | 2006
Joanna Marguier; Sabine Süsstrunk
International Journal of Imaging Systems and Technology | 2007
Joanna Marguier; Nina Bhatti; Harlyn Baker; Michael Harville; Sabine Süsstrunk
Archive | 2010
Joanna Marguier
color imaging conference | 2008
Joanna Marguier; Sabine Süsstrunk