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ISO standards / Computing / Wavelets / Digital signal processing / Signal processing / Discrete cosine transform / Speech recognition / JPEG / Facial recognition system / Mathematical analysis / Graphics file formats / Automatic identification and data capture


Using Hidden Markov Models and Wavelets for face recognition M. Bicego, U. Castellani, V. Murino Dipartimento di Informatica, Universit`a di Verona Ca’ Vignal 2, Strada Le Grazie[removed]Verona, Italia bicego,castella
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Document Date: 2011-10-29 17:45:35


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City

Wavelet / Seattle / Freiburg / Sarasota / /

Company

Neural Networks / Olivetti Research Laboratory / Joint Photographic Experts Group / /

Country

Germany / /

Currency

USD / /

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Facility

Cambridge University / Kyoto University / Olivetti Research Laboratory / /

IndustryTerm

security applications / well known face recognition algorithms / bank / wavelet technology / iris biometric systems / Picture processing system / mathematical tool / invasive control tool / compression technologies / important face recognition algorithms / column processing / /

Organization

Cambridge University / Engineering Department / Kyoto University / Pattern Analysis and Machine Intelligence / /

Person

M. Bicego / V / Turk / U. Castellani / V / /

Position

stochastic model for human face identification / model for the data / /

Product

Haar / /

ProvinceOrState

Florida / /

PublishedMedium

IEEE Transactions on Pattern Analysis and Machine Intelligence / Journal of Cognitive Neuroscience / /

Technology

Neuroscience / speech recognition / Baum Welch algorithm / image compression / Machine Vision / neural network / proposed algorithm / compression technologies / important face recognition algorithms / well known face recognition algorithms / wavelet technology / Recognition Technology / /

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http /

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