[talks] Huiwen Chang FPO TOMORROW May 22, 2018 1:00 pm CS 401

[Barbara A. Mooring]

Huiwen Chang will present her FPO TOMORROW May 22, 2018 at 1:00 pm in CS 401

Committee:

Adam Finkelstein, Adviser Princeton University
Olga Russakovsky - Princeton University)
David Dobkin - Princeton University
Syzmon Rusinkiewicz- Princeton Unviersity

All are welcomed to attend.

Title:  PERSONAL PHOTO ENHANCEMENT

Abstract:

Thanks to the democratization of digital cameras and camera-equipped smartphones, casual
photographers have an increasing need to be able to easily enhance their growing personal
photo collections. Existing commercial tools for photo enhancement are either expressive
but too sophisticated for casual photographers (e.g. Adobe Photoshop), or easy-to-use but
limited in expressiveness (e.g. one-click filters from Instagram). This poses the challenge
of how to enable novices to easily edit and enhance their personal photo collections. This
thesis describes three systems that collectively build a foundation for solving the practical
problem of enhancing personal photo collections as a whole.
Our goal is to enhance a personal photo collection, and the first challenge is to select
which photos in the collection are worth keeping, editing and sharing. In particular we
would like to automatically exclude bad photos from a series of shots taken of the same
scene. Note that this goal takes a different perspective from that of previous work, for two
reasons. First, casual personal photos have different statistics from those of general images.
Second, the problem of selecting which are the best photos in a series of similar shots is
different from establishing an overall quality measure for any single photo in isolation.
Next, the thesis studies the color transfer problem on photo enhancement. Because
visual taste is personal, an enhancement tool is necessary to provide users with both enough
freedom and intuitive control. Therefore, additional to a novel color transfer algorithm, we
also design a simple interface for making color exploration easy and intuitive. When taking
a photo collection as a whole, the color transfer algorithm can also be applied to enhance the
overall color consistency among multiple photos automatically, which also enables users to
tune their entire photo album simultaneously.
Finally, we narrow down photo enhancement to specific domains and focus on
portraiture in personal photo collections. We propose a novel framework for modifying
portrait images to match with the style of another person in a reference photo, and in
particular, we explore the application of this technique towards transferring makeup styles.
Barbara A. Mooring
Interim Graduate Coordinator
Computer Science Department
Princeton University