Face detection in color images

By Rein-Lien Hsu, Mohamed Abdel-Mottaleb, Anil K. Jain. Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205), 2002

2,219 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/a741ea5e483061f2ad1767290770ef35e74fcab4

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In Computer Vision and Pattern Recognition

Citations in the corpus

Non-commercial Research and Educational Use including without Limitation Use in Instruction at Your Institution, Sending It to Specific Colleagues That You Know, and Providing a Copy to Your Institution's Administrator. All Other Uses, Reproduction and Distribution, including without Limitation Comm (2005, neutral): “The chemical shielding term m l can have both isotropic and anisotropic parts, whereas the D lm terms are completely anisotropic and hence do not contribute to the familiar spectra of isotropic liquids.”
A novel skin color model in YCbCr color space and its application to human face detection (2002, background): “This approach not only enables fast localization of potential facial regions but also proves to be highly robust to geometric variations in the face patterns.”
Recent advances in visual and infrared face recognition - a review (2005, background): “Major face detection approaches are summarized in [33].”
A survey of skin-color modeling and detection methods (2007, methodology): “Hsu et al. [35] used a version of white patch algorithm for color correction.”
FDDB: A benchmark for face detection in unconstrained settings (2010, background): “Since this resulting collection contains only grayscale images, it is not applicable for evaluating face detection systems that employ color information as well [6].”
Modeling naturalistic affective states via facial and vocal expressions recognition (2006, methodology): “In case of an open mouth, several methods have been proposed which make use of intensity or color information [26].”
Understanding Unequal Gender Classification Accuracy from Face Images (2018, methodology): “We use the following skin detection rule based on the YCrCb space [16], where Y stands for luminance and Cr, Cb stand for chrominance values.”
Biometric Recognition Using 3D Ear Shape (2007, methodology): “A parametric ellipse in the color space is then used as a model of skin color, as described in [15].”
A Physical Model of Human Skin and its Application for Search and Rescue (2012, background): “Other methods reduce false alarms by examining how skin pixels cluster spatially and then attempt to determine if the spatial clustering resembles a part of the body such as a limb [25] or a face [30].”
Person Reidentification Using Spatiotemporal Appearance (2006, methodology): “In this paper, we consider reidentification algorithms that rely on the overall appearance of the individual as opposed to ones that use passive biometrics such as face [16] and gait [22].”
Skin segmentation using color pixel classification: analysis and comparison (2005, methodology): “[1] is probably a better approach to coping with extreme or biased lightings in skin detection.”