Content-Aware Rotation
作者： Kaiming He , Huiwen Chang , Jian Sun
DOI: 10.1109/ICCV.2013.74
关键词: Distortion (optics) 、 Computer science 、 Cropping 、 Artificial intelligence 、 Iterative reconstruction 、 Rotation (mathematics) 、 Computer vision 、 Completeness (order theory) 、 Image warping 、 Image editing 、 Interpolation
摘要: We present an image editing tool called Content-Aware Rotation. Casually shot photos can appear tilted, and are often corrected by rotation cropping. This trivial solution may remove desired content hurt integrity. Instead of doing rigid rotation, we propose a warping method that creates the perception avoids Human vision studies suggest is mainly due to horizontal/vertical lines. design optimization-based preserves lines, maintains completeness content, reduces distortion. An efficient algorithm developed address challenging optimization. demonstrate our content-aware on variety practical cases.
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