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- W1546963896 abstract "We describe an efficient GPU algorithm which extracts multiple contours from an image. The algorithm uses crack codes to generate contours which sit logically between adjacent image values; it works scan line by scan line and it can generate multiple contours in parallel with an image streamed directly from a camera. Whilst specifically targeted at detecting object contours in stereo disparity maps, it can also be used for general segmentation with a trivial change to the code generating the crack code masks. Using a480 ALU 1.4 GHz nVidia GPU, it can generate ∼ 25000 contours from a real 2048 × 768 resolution 128 level disparity map image in ∼ 29 ms if the contours are further processed in the GPU (additional ∼5 ms to calculate shape moments) or ∼ 39 ms if contours are transferred to the host. This is ∼ 40 times faster than an OpenCV CPU implementation." @default.
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- W1546963896 date "2015-06-01" @default.
- W1546963896 modified "2023-09-25" @default.
- W1546963896 title "Fast accurate contours for 3D shape recognition" @default.
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- W1546963896 doi "https://doi.org/10.1109/ivs.2015.7225788" @default.
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