Publications

Automatic Upright Adjustment of Photographs

In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR'12), Providence RI, 2012.

Published June 18, 2012

H. Lee, Eli Shechtman, Jue Wang, S. Lee

Man-made structures often appear to be distorted in photos captured by casual photographers, as the scene layout often conflicts with how it is expected by human perception. In this paper, we propose an automatic approach for straightening up slanted man-made structures in an input image to improve its perceptual quality. We call this type of correction upright adjustment. We propose a set of criteria for upright adjustment based on human perception studies, and develop an optimization framework which yields an optimal homography for adjustment. We also develop a new optimization-based camera calibration method that performs favorably to previous methods and allows the proposed system to work reliably for a wide range of images. The effectiveness of our system is demonstrated by both quantitative comparisons and qualitative user study

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