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Artificial intelligence / Segmentation / Tattoo / Content-based image retrieval / Watershed / Face detection / Cluster analysis / Simple interactive object extraction / Range segmentation / Computer vision / Image processing / Statistics


Unsupervised Tattoo Segmentation Combining Bottom-Up and Top-Down Cues Josef D. Allen1a,b, Nan Zhaob, Jiangbo Yuanb, Xiuwen Liub Oak Ridge National Laboratory, 1 Bethel Valley Road, Oak Ridge, TN, U.S 37831; b Department
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Document Date: 2012-04-27 14:55:50

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File Size: 2,10 MB

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City

Washington / DC / Berlin / Several Content / /

Company

ID Solutions Inc. / Xiuwen Liub Oak Ridge National Laboratory / /

Country

United States / /

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Facility

Bethel Valley Road / Love Building / Florida State University / University of California / /

IndustryTerm

k-means algorithm / face detection applications / tattoo segmentation systems / efficient algorithm / proposed segmentation algorithm / segmentation algorithm / tattoo image retrieval systems / security systems / law enforcement / unsupervised color image segmentation algorithm / multimedia information processing / /

Organization

University of California / Department of Computer Science / Florida State University / IEEE Computer Society / Pattern Analysis and Machine Intelligence / /

Person

John Schmitt / Tony West / Amanda West / Nan Zhaob / Sharon / Chris Hall / /

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Position

author / President / rabbit head / Tattoo/Ink Artist / tattoo artist / general for tattoo segmentation / /

ProgrammingLanguage

FL / DC / /

ProvinceOrState

California / /

Technology

efficient algorithm / K-Means algorithm / proposed algorithm / unsupervised color image segmentation algorithm / segmentation algorithm / proposed segmentation algorithm / Image Processing / /

URL

www.biometriccoe.gov/_doc/IAFIS_0808_One-Pager825.pdf / http /

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