Interactive Image Segmentation for the DiyoramaMobile Engine

Hololabs Studio Inc. is developing a mobile platform called Diyorama, which enables users to arrange
images into interactive 3-~ scenes with an aesthetic similar to paper craft and collage art. Users can
include images from their photo libraries, social networks, or image search results in order to create
customized playable scenes from existing content. The research project adds the ability to
interactively extract foreground objects from unwanted background imagery in order to provide useful
assets for building one’s scene. Computer vision techniques ranging from active contours to graph cut
algorithms will be explored to see which is most effective for mobile platforms and user tests will be
performed to ensure that the interaction is manageable in mobile environments, where small screens
and multitouch input serve as the primary interface.

Faculty Supervisor:

Michael Langer

Student:

Partner:

Hololabs Studio Inc

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

McGill University

Program: