Please use this identifier to cite or link to this item:
|Title:||PoseShop: Human image database construction and personalized content synthesis|
|Source:||Chen, T., Tan, P., Ma, L.-Q., Cheng, M.-M., Shamir, A., Hu, S.-M. (2013). PoseShop: Human image database construction and personalized content synthesis. IEEE Transactions on Visualization and Computer Graphics 19 (5) : 824-837. ScholarBank@NUS Repository. https://doi.org/10.1109/TVCG.2012.148|
|Abstract:||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. © 1995-2012 IEEE.|
|Source Title:||IEEE Transactions on Visualization and Computer Graphics|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Mar 7, 2018
WEB OF SCIENCETM
checked on Jan 29, 2018
checked on Mar 11, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.