Person Authentication Using Head Images
Citations
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7 citations
Cites methods from "Person Authentication Using Head Im..."
...head detection is an important element and used as a pre-processing step in many video surveillance applications, for example, tracking [3], [12], person authentication [25] and density estimation [36]....
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3 citations
Cites background from "Person Authentication Using Head Im..."
...Mostly one body part is utilized, such as faces [25, 37, 21, 4], heads [31, 24], or fullbodies [11, 26, 30]....
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References
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"Person Authentication Using Head Im..." refers methods in this paper
...Due to the better encoding of hairstyle, LBPHS has better discriminative capability compared to DSIFT in the problem of head image segmentation....
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...The hand-crafted features utilized include Dense SIFT (DSIFT) and Local Binary Patterns (LBPHS)....
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...The major conclusion which can be drawn from the results are as follows: On evaluating texture features (LBPHS) and key point based features (DSIFT) for matching head images, it is observed that LBPHS features outperform DSIFT features by over 10% genuine accept rate (GAR) for all color channels....
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...Further, the performance of dictionary features, LBPHS and DSIFT features are lower on grayscale images compared to RGB. Representations obtained from deep models give the most competitive results....
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...Features maps are generated from a ZF-Net [23] architecture and is then used by the Region Proposal Network (RPN) to generate region proposals....
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