Photo Clip Art
Jean-François LalondeDerek HoiemAlexei A. EfrosCarsten RotherJohn WinnAntonio Criminisi
ACM Transactions on Graphics / SIGGRAPH (2007)

We present a system for inserting new objects into existing photographs by querying a vast image-based object library, precomputed using a publicly available Internet object database. The central goal is to shield the user from all of the arduous tasks typically involved in image compositing. The user is only asked to do two simple things: 1) pick a 3D location in the scene to place a new object; 2) select an object to insert using a hierarchical menu. We pose the problem of object insertion as a data-driven, 3D-based, context-sensitive object retrieval task. Instead of trying to manipulate the object to change its orientation, color distribution, etc. to fit the new image, we simply retrieve an object of a specified class that has all the required properties (camera pose, lighting, resolution, etc) from our large object library. We present new automatic algorithms for improving object segmentation and blending, estimating true 3D object size and orientation, and estimating scene lighting conditions. We also present an intuitive user interface that makes object insertion fast and simple even for the artistically challenged.

Jean-François Lalonde, Derek Hoiem, Alexei A. Efros, Carsten Rother, John Winn, Antonio Criminisi (2007). Photo Clip Art. ACM Transactions on Graphics / SIGGRAPH, 26(3).

@article{ Lalonde:2007:ClipArt,
author = "Jean-Fran\c{c}ois Lalonde and Derek Hoiem and Alexei A. Efros and Carsten Rother and John Winn and Antonio Criminisi",
title = "Photo Clip Art",
year = "2007",
month = aug,
journal = "ACM Transactions on Graphics / SIGGRAPH",
volume = "26",
number = "3",