WiFi human sensing has achieved great progress in indoor localization, activity classification, etc. Retracing the development of these work, we have a natural question: can WiFi devices work like cameras for vision applications? In this paperWe try to answer this question by exploring the ability of WiFi on estimating single person pose. We use a 3-antenna WiFi sender and a 3-antenna receiver to generate WiFi data. Meanwhile, we use a synchronized camera to capture person videos for corresponding keypoint annotations. We further propose a fully convolutional network (FCN), termed WiSPPN, to estimate single person pose from the collected data and annotations. Evaluation on over 80k images (16 sites and 8 persons) replies aforesaid question with a positive answer. Codes have been made publicly available at https: // github. com/ geekfeiw/ WiSPPN .
Hyperspectral imaging has recently been introduced into face and palmprint recognition and is now drawing much attention of researchers in this area. Compared to simple 2D imaging technology, hyperspectral image can bring much more information. Due to its ablity to jointly explore the spatial-spectral domain, 3D Gabor wavelets have been successfully applied for hyperspectral palmprint recognition. In this approach, a set of 52 three-dimensional Gabor wavelets with different frequencies and orientations were designed and convolved with the cube to extract discriminative information in the joint spatial-spectral domain. However, there is also much redundancy among the hyperpecstral data, which makes the feature extraction computationally expensive. In this paper, we propose to use AP (affinity propagation) based clustering approach to select representative band images from available large data. As the number of bands has been greatly reduced, the feature extraction process can be efficiently speed up. Experimental results on the publicly available HK-PolyU hyperspectral palmprint database show that the proposed approach not only improves the efficiency, but also reduces the EER of 3D Gabor feature based method from 4% to 3.26%.
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