Face Detection: A Survey

By Erik Hjelmås, Boon Kee Low. 2001

1,704 citations recorded by the source corpus.

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Citations in the corpus

Applications of Support Vector Machines for Pattern Recognition: A Survey (2002, methodology): “Since SVMs are known to generalize well even in high dimensional spaces under small training sample conditions [5] and have shown to be superior to traditional empirical risk minimization principle employed by most of neural networks [6], SVMs have been successfully applied to a number of applicatio”
Convolutional face finder: a neural architecture for fast and robust face detection (2004, methodology): “Only a few papers, including [17], address the definition of what is a correctly detected face [ 2 ].”
Vehicle detection in aerial imagery : A small target detection benchmark (2016, background): “The results presented by the numerous papers using it cannot be compared in a reliable way, as noticed by [21].”
Large-scale privacy protection in Google Street View (2009, background): “The use of skin color in face detection has been widely explored in the literature ([3]); our approach is related to [7], and our choice of hue-saturation space is supported by the ﬁndings in [6].”
A survey of skin-color modeling and detection methods (2007, background): “Skin color can also be used as complimentary information to other features such as shape and geometry and can be used to build accurate face detection systems [1] [2] [3] [4].”
Multimodal Human Computer Interaction: A Survey (2005, background): “Extensive surveys have been previously published in several areas such as face detection [88][ 26 ], face recognition [91], facial expression analysis [17][54], vocal emotion [46][95], gesture recognition [38][78][57], human motion analysis [27][83][84][22][1][44], and eye tracking [12].”
We get the algorithms of our ground truths: Designing referential databases in digital image processing (2017, background): “The sub-field of face-detection with its numerous ground truths and algorithmic propositions provides a paradigmatic example of a highly developed and competitive topic in image processing (Hjelmås and Low, 2001; Zhang and Zhang, 2010).”
Robust hand detection (2004, background): “Face detection on the other hand has attracted a great amount of interest [12, 3] and many methods relying on shape, texture, and/or temporal information have been described.”
Learning Face Localization Using Hierarchical Recurrent Networks (2002, background): “Arecent survey on face detection can be found in [ 4 ].”
Independent component analysis of Gabor features for face recognition (2003, methodology): “Popular statistical techniques play a very important role in developing face recognition methods [1], [4], [10], [ 15 ], [20], [35], [42].”
Recent advances in visual and infrared face recognition - a review (2005, background): “Recent survey papers on face detection techniques can be found in [35,36].”