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- W3107934100 abstract "In this paper, we derive a new differential homography that can account for the scanline-varying camera poses in Rolling Shutter (RS) cameras, and demonstrate its application to carry out RS-aware image stitching and rectification at one stroke. Despite the high complexity of RS geometry, we focus in this paper on a special yet common input—two consecutive frames from a video stream, wherein the inter-frame motion is restricted from being arbitrarily large. This allows us to adopt simpler differential motion model, leading to a straightforward and practical minimal solver. To deal with non-planar scene and camera parallax in stitching, we further propose an RS-aware spatially-varying homogarphy field in the principle of As-Projective-As-Possible (APAP). We show superior performance over state-of-the-art methods both in RS image stitching and rectification, especially for images captured by hand-held shaking cameras." @default.
- W3107934100 created "2020-12-07" @default.
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- W3107934100 date "2020-01-01" @default.
- W3107934100 modified "2023-10-01" @default.
- W3107934100 title "Image Stitching and Rectification for Hand-Held Cameras" @default.
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- W3107934100 doi "https://doi.org/10.1007/978-3-030-58571-6_15" @default.
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