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Vision / Face detection / Pose / Facial recognition system / AdaBoost / Haar-like features / Face / Boosting methods for object categorization / Affective computing / Computer vision / Artificial intelligence / Face recognition


Feature-based Head Pose Estimation from Images Teodora Vatahska, Maren Bennewitz, and Sven Behnke University of Freiburg Computer Science Institute DFreiburg, Germany Email:{vatahska, maren, behnke}@informatik.uni
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Document Date: 2007-12-04 03:18:05

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Company

Neural Networks / Intel / /

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Facility

Georgia Institute of Technology / Intel’s OpenCV library / Sven Behnke University / Max Planck Institute / D. Hall / /

IndustryTerm

adaptive learning algorithm / adaptive local search learning algorithm / particular search ellipse / supervised learning algorithm / individual search areas / feedforward network / on-line learning / multilayer feed-forward network / search area / search window / active appearance model search / computing / backpropagation algorithm / mean shift algorithm / search ellipse / search areas / learning algorithms / /

MarketIndex

case 20 / /

OperatingSystem

OSE / /

Organization

Sven Behnke University of Freiburg Computer Science Institute D-79110 Freiburg / Georgia Institute of Technology / US Federal Reserve / Max Planck Institute for Biological Cybernetics / Pattern Analysis and Machine Intelligence / /

Person

Detection / Maren Bennewitz / /

Position

Feature-based Head / C. Real-Time Head / /

ProgrammingLanguage

E / /

ProvinceOrState

Georgia / /

Technology

adaptive learning algorithm / neural network / supervised learning algorithm / mean shift algorithm / performing learning algorithms / adaptive local search learning algorithm / backpropagation algorithm / AdaBoost algorithm / /

URL

http /

SocialTag