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Compressive sensing with local geometric features

机译:具有局部几何特征的压缩感测

摘要

Methods and apparatuses for compressive sensing that enable efficient recovery of features in an input signal based on acquiring a few measurements corresponding to the input signal. One method of compressive sensing includes folding an image to generate first and second folds, and recovering a feature of the image based on the first and second folds without reconstructing the image. One example of a compressive sensing apparatus includes a lens, a focal plane array coupled to the lens and configured to generate first and second folds based on the image, and a decoder configured to receive the first and second folds and to recover a feature of the image without reconstructing the image. The feature may be a local geometric feature or a corner. Compressive sensing methods and apparatuses for determining translation and rotation between two images are also disclosed.
机译:用于压缩感测的方法和装置,能够基于获取对应于输入信号的一些测量值来有效恢复输入信号中的特征。压缩感测的一种方法包括折叠图像以产生第一和第二折叠,以及基于第一和第二折叠来恢复图像的特征而不重建图像。压缩感测设备的一个示例包括透镜,耦合到透镜并配置为基于图像生成第一折痕和第二折痕的焦平面阵列,以及配置为接收第一折痕和第二折痕并恢复其特征的解码器。图像而不重建图像。该特征可以是局部几何特征或拐角。还公开了用于确定两个图像之间的平移和旋转的压缩感测方法和设备。

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