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Aligning digital images by selectively applying pixel-adjusted-gyroscope alignment and feature-based alignment models
Aligning digital images by selectively applying pixel-adjusted-gyroscope alignment and feature-based alignment models
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机译:通过选择性地应用像素调整的陀螺仪对齐和特征对准模型来对准数字图像
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摘要
This disclosure relates to methods, non-transitory computer readable media, and systems that analyze feature points of digital images to selectively apply a pixel-adjusted-gyroscope-alignment model and a feature-based-alignment model to align the digital images. For instance, the disclosed systems can select an appropriate alignment model based on feature-point-deficiency metrics specific to an input image and reference-input image. Moreover, in certain implementations, the pixel-adjusted-gyroscope-alignment model utilizes parameters from pixel-based alignment and gyroscope-based alignment to align such digital images. Together with the feature-based-alignment model, the disclosed methods, non-transitory computer readable media, and systems can use a selective image-alignment algorithm that improves computational efficiency, accuracy, and flexibility in generating enhanced digital images from a set of input images.
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