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Face detection / Algorithm / Segmentation / Eigenface / Template matching / Pose / Boosting methods for object categorization / FERET / Computer vision / Face recognition / Image processing


User Oriented Language Model for Face Detection Daesik Jang Dept. of Computer Information Engineering Kunsan National University, Gunsan, South Korea [removed]
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Document Date: 2011-11-24 20:11:06


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City

Gunsan / /

Country

South Korea / /

/

Facility

Steve Oldridge Human Communication Technology Laboratory University of British Columbia / OpenCV library / Computer Information Engineering Kunsan National University / /

IndustryTerm

intuitive solution / proper algorithms / film processing / proper algorithm / theoretical algorithms / vision algorithm / diverse algorithms / computer vision algorithms / surveillance systems / image processing / face detection algorithms / real-time applications / neural networks / search spaces / appropriate algorithms / real-time performance / appropriate algorithm / face detection technology / search space / software architecture / face-detection applications / sparse network / /

Organization

Computer Information Engineering Kunsan National University / University of British Columbia / Vancouver / Pattern Analysis and Machine Intelligence / /

Person

Sid Fels / Figure / Steve Oldridge / Gregor Miller / /

Position

King / User Oriented Language Model for Face Detection Daesik Jang Dept. / proposed associated interpreter / Fisher / representative / proposed language model / interpreter / language model for face detection / /

ProgrammingLanguage

C++ / /

PublishedMedium

IEEE Transactions on Pattern Analysis and Machine Intelligence / Computer Graphics / /

Technology

proper algorithm / specific algorithm / computer vision algorithms / Neural Network / face detection technology / face detection algorithms / digital cameras / selected algorithm / image processing / vision algorithm / /

URL

http /

SocialTag