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This paper proposes a fast decoding algorithm for block-based compressed sensing images that combines a modified smooth l0-norm with the BCS-SPL algorithm. Experimental results have proven a significant reduction in execution time, while providing the same image quality.
In this paper, a hand gesture-based recognition system is presented with the aim of recognizing finger-spelling using the American Sign Language. The solution makes use of the depth imagery acquired by the new Kinect 2 sensor that provides more depth resolution. The main novelty is the introduction of a Compressive Sensing step to reduce the dimension of a depth-based feature descriptor, called Depth...
A novel and robust vision-based human-machine interface system to naturally interact with computers/smart devices is proposed. The key contribution is the introduction of a Compressive Sensing technique to largely reduce the dimensionality of highly discriminative feature descriptors (computed from depth imagery), which originally have an excessive and inoperative high dimension to be applied to a...
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