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PoseShop: Human Image Database Construction and Personalized Content Synthesis
May 2013 (vol. 19 no. 5)
pp. 824-837
Tao Chen, Dept. of Comput. Sci., Tsinghua Univ., Beijing, China
Ping Tan, Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore, Singapore
Li-Qian Ma, Dept. of Comput. Sci., Tsinghua Univ., Beijing, China
Ming-Ming Cheng, Dept. of Comput. Sci., Tsinghua Univ., Beijing, China
A. Shamir, Efi Arazi Sch. of Comput. Sci., Interdiscipl. Center, Herzelia, Israel
Shi-Min Hu, Dept. of Comput. Sci., Tsinghua Univ., Beijing, China
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.
Index Terms:
Humans,Skin,Image segmentation,Image databases,Image color analysis,Shape,image composition,Image database
Citation:
Tao Chen, Ping Tan, Li-Qian Ma, Ming-Ming Cheng, A. Shamir, Shi-Min Hu, "PoseShop: Human Image Database Construction and Personalized Content Synthesis," IEEE Transactions on Visualization and Computer Graphics, vol. 19, no. 5, pp. 824-837, May 2013, doi:10.1109/TVCG.2012.148
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