/Automatic Photo Pop-up

Automatic Photo Pop-up

Derek Hoiem, Alexei A. Efros and Martial Hebert
Conference Paper, ACM SIGGRAPH, August, 2005

Download Publication (PDF)

Copyright notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author’s copyright. These works may not be reposted without the explicit permission of the copyright holder.


This paper presents a fully automatic method for creating a 3D model from a single photograph. The model is made up of several texture-mapped planar billboards and has the complexity of a typical children?s pop-up book illustration. Our main insight is that instead of attempting to recover precise geometry, we statistically model geometric classes defined by their orientations in the scene. Our algorithm labels regions of the input image into coarse categories: ?ground?, ?sky?, and ?vertical?. These labels are then used to ?cut and fold? the image into a pop-up model using a set of simple assumptions. Because of the inherent ambiguity of the problem and the statistical nature of the approach, the algorithm is not expected to work on every image. However, it performs surprisingly well for a wide range of scenes taken from a typical person?s photo album.

AVI Video available at: http://www.cs.cmu.edu/~dhoiem/projects/popup/popup_movie_912_500_DivX.avi

BibTeX Reference
author = {Derek Hoiem and Alexei A. Efros and Martial Hebert},
title = {Automatic Photo Pop-up},
booktitle = {ACM SIGGRAPH},
year = {2005},
month = {August},
keywords = {3D model, geometry, vision, single image},