"GrabCut": interactive foreground extraction using iterated graph cuts
ACM SIGGRAPH 2004 Papers
A picture is worth a thousand keywords: image-based object search on a mobile platform
CHI '05 Extended Abstracts on Human Factors in Computing Systems
Designing a mobile user interface for automated species identification
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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In this paper, we describe an intelligent user interface designed for camera phones to allow mobile users to specify the object of interest in the scene simply by taking two pictures: one with the object and one without the object. By comparing these two images, the system can reliably extract the visual appearance of the object, which can be useful to a wide-range of applications such as content-based image retrieval and object recognition.