2003
DOI: 10.1016/j.rti.2003.08.003
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A novel method for detecting lips, eyes and faces in real time

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Cited by 93 publications
(69 citation statements)
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References 32 publications
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“…We propose an online learning approach to extract sample data for lip and non-lip classes to estimate their distribution in real time. Chiang et al (2003) in their work provides hints for this approach. They pointed out that lip colors are distributed at the lower range of green channel in the (r,g) plane.…”
Section: Online Learning and Extraction Of Lip And Non-lip Data Samplesmentioning
confidence: 97%
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“…We propose an online learning approach to extract sample data for lip and non-lip classes to estimate their distribution in real time. Chiang et al (2003) in their work provides hints for this approach. They pointed out that lip colors are distributed at the lower range of green channel in the (r,g) plane.…”
Section: Online Learning and Extraction Of Lip And Non-lip Data Samplesmentioning
confidence: 97%
“…Image based (top-down) approaches utilize statistical models of skin color pixels to find the face region first, accordingly pre-stored face templates or feature search algorithms are used to match the candidate face regions as in Chiang et al (2003). Feature based approaches use specialized filters directly such as templates or Gabor filter of different frequencies and orientations to locate the facial features.…”
Section: Face Roi Localizationmentioning
confidence: 99%
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“…Examples of colour distribution geometrical model can be seen from the paper [6] proposed skin-segmentation color space of red and green chromatic color space. The paper uses two quadratic polynomials to create a boundary that separates skin colors from other colors which is used for classification.…”
Section: B Color Distribution Geometrical Modelmentioning
confidence: 99%
“…The training data must be chosen carefully to include all possible lips configurations. Other image-based approaches proposed are rule-based approaches by features of a face (23) , pixelbased approaches using red exclusion (5) , optical-flow approaches to measure lips movement (24) , etc. However, these approaches cannot adapt to considerable geometric changes in lips in every frame.…”
Section: Related Workmentioning
confidence: 99%