A statistic approach to the detection of human faces in color nature scene

Hsieh, Ing Sheen; Fan, Kuo-Chin; Lin, Chiunhsiun

doi:10.1016/s0031-3203(01)00146-7

Cited by 62 publications

(30 citation statements)

References 15 publications

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“…Therefore, insisting on a specific color system to be used in the skin classification algorithm is unnecessary [8]. Hence, we do not strictly mention any specific color space here.…”

Section: The Proposed Methodsmentioning

confidence: 99%

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Skin Segmentation Using Color Distance Map and Water-Flow Property

Abdullah-Al-Wadud

Chae

2008

2008 the Fourth International Conference on Information Assurance and Security

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A new approach for skin region segmentation is proposed. It uses color distance map (CDM) and an algorithm based on the property of flow of water. The CDM itself is a grayscale image, which makes the algorithm very simple. However, it is still capable of providing color information based on which some skin and non-skin seed regions can be determined reliably. Then a water-flow based procedure determines skin and non-skin segments completely. The color distance map is robust against variations in imaging conditions and the water-flow procedure efficiently uses the region information to extract solid skin segments without generating much noisy segments.

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“…Therefore, insisting on a specific color system to be used in the skin classification algorithm is unnecessary [8]. Hence, we do not strictly mention any specific color space here.…”

Section: The Proposed Methodsmentioning

confidence: 99%

“…It depends largely on the training set, making it applicable only in a limited range of imaging conditions. Explicit threshold based skin cluster classifiers are the simplest methods [1][4] [8]. They define the boundaries of the skin cluster in certain color spaces.…”

Section: Introductionmentioning

confidence: 99%

Skin Segmentation Using Color Distance Map and Water-Flow Property

Abdullah-Al-Wadud

Chae

2008

2008 the Fourth International Conference on Information Assurance and Security

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“…This method used to formulate skin detection classifier, which is defined by the boundaries of the skin region in certain colour coordinates in appropriately chosen colour model. This method is very popular among the researchers [23,24,[31][32][33][34][35][36][37][38] because it is easy to implement and do not require a training phase. However, the main problem of this method is, it is difficult to achieve high accuracy in skin detection.…”

Section: Introductionmentioning

confidence: 99%

Untitled

2012

IJSC

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“…The main challenges encountered in face detection is to cope with a wide variety of variations in the human face such as posture and scale, face orientation, facial expression, ethnicity and skin color [3,4,5]. External factors such as occlusion, complex backgrounds [6,7,8] inconsistent illumination conditions and quality of the image may also contribute significantly to the overall problem. Face detection in color images [1,9] has also gained much attention and notice in recent years.…”

Section: Introductionmentioning

confidence: 99%

Face detection using skin tone segmentation

Thakur¹,

Paul²,

Mondal³

et al. 2011

2011 World Congress on Information and Communication Technologies

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Abstract---Human face detection has become a major field of interest in current research because there is no deterministic algorithm to find face(s) in a given image. Further the algorithms that exist are very much specific to the kind of images they would take as input and detect faces. The problem is to detect faces in the given, colored group photograph. In this paper, an improved segmentation algorithm for face detection in color images with multiple faces and skin tone regions is proposed. Algorithm ingeniously uses a novel skin color model, RGB-HS-CbCr for the detection of human faces. Skin regions are extracted using a set of bounding rules based on the skin color distribution obtained from a training set. The segmented face regions are further classified using a parallel combination of simple morphological operations. Experimental results on a large photo data set have demonstrated that the proposed model is able to achieve good detection success rates for near-frontal faces of varying orientations, skin color and background environment.

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A statistic approach to the detection of human faces in color nature scene

Cited by 62 publications

References 15 publications

Skin Segmentation Using Color Distance Map and Water-Flow Property

Skin Segmentation Using Color Distance Map and Water-Flow Property

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Face detection using skin tone segmentation

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