Skin detection by dual maximization of detectors agreement for video monitoring
Pattern Recognition Letters
Data-driven suggestions for portrait posing
SIGGRAPH Asia 2013 Technical Briefs
Affective image adjustment with a single word
The Visual Computer: International Journal of Computer Graphics
Deformable model for estimating clothed and naked human shapes from a single image
The Visual Computer: International Journal of Computer Graphics
SalientShape: group saliency in image collections
The Visual Computer: International Journal of Computer Graphics
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We present PoseShop—a pipeline to construct segmented human image database with minimal manual intervention. By downloading, analyzing, and filtering massive amounts of human images from the Internet, we achieve a database which contains 400 thousands human figures that are segmented out of their background. The human figures are organized based on action semantic, clothes attributes, and indexed by the shape of their poses. They can be queried using either silhouette sketch or a skeleton to find a given pose. We demonstrate applications for this database for multiframe personalized content synthesis in the form of comic-strips, where the main character is the user or his/her friends. We address the two challenges of such synthesis, namely personalization and consistency over a set of frames, by introducing head swapping and clothes swapping techniques. We also demonstrate an action correlation analysis application to show the usefulness of the database for vision application.