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Automatic Upright Adjustment of Photographs With Robust Camera Calibration
May 2014 (vol. 36 no. 5)
pp. 1-1
Seungyong Lee, Department of Computer Science and Engineering, Pohang University of Science and Technology (POSTECH), Pohang, South Korea
Eli Shechtman, , Creative Technologies Lab of Adobe Research, Seattle, WA, USA
Jue Wang, , Creative Technologies Lab of Adobe Research, Seattle, WA, USA
Hyunjoon Lee, Department of Computer Science and Engineering, Pohang University of Science and Technology (POSTECH), Pohang, South Korea
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.
Index Terms:
Cameras,Calibration,Optimization,Robustness,Erbium,Buildings,Transmission line matrix methods,3D/stereo scene analysis,Geometric correction,Camera calibration
Citation:
Seungyong Lee, Eli Shechtman, Jue Wang, Hyunjoon Lee, "Automatic Upright Adjustment of Photographs With Robust Camera Calibration," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 36, no. 5, pp. 1-1, May 2014, doi:10.1109/TPAMI.2013.166
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