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M\"obius Transform for Mitigating Perspective Distortions in Representation Learning
May 7, 2024, 4:47 a.m. | Prakash Chandra Chhipa, Meenakshi Subhash Chippa, Kanjar De, Rajkumar Saini, Marcus Liwicki, Mubarak Shah
cs.CV updates on arXiv.org arxiv.org
Abstract: Perspective distortion (PD) causes unprecedented changes in shape, size, orientation, angles, and other spatial relationships of visual concepts in images. Precisely estimating camera intrinsic and extrinsic parameters is a challenging task that prevents synthesizing perspective distortion. Non-availability of dedicated training data poses a critical barrier to developing robust computer vision methods. Additionally, distortion correction methods make other computer vision tasks a multi-step approach and lack performance. In this work, we propose mitigating perspective distortion (MPD) …
abstract arxiv availability concepts cs.cv data images intrinsic parameters perspective relationships representation representation learning spatial training training data type visual visual concepts
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