Skin Color Detection through Estimation and Conversion of Illuminant Color Under Various Illuminations

Do, Hyun-Chul; You, Ju-Yeon; Chien, Sung‐Il

doi:10.1109/tce.2007.4341592

Cited by 37 publications

(22 citation statements)

References 12 publications

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“…Many face detection techniques have been proposed in the past decade [17][18][19][20]. They can be classified into geometry-based and color-based face detectors.…”

Section: A Preprocessingmentioning

confidence: 99%

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An efficient face recognition system based on embedded DCT pyramid

Atta

Ghanbari

2012

IEEE Trans. Consumer Electron.

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In this paper, an efficient feature selection method based on a combination of DCT pyramid for image decomposition and the concept of the set partitioning in hierarchal trees (SPIHT) for structuring of information for face recognition is presented. In the proposed method, the DCT pyramid decomposes each face image into an approximation subband and a set of reversed L-shape blocks containing the high frequency coefficients. The generalized parent-child relationships of SPIHT algorithm are then established among the DCT pyramids. This leads to efficient selection of the most important coefficients among the layers of the DCT pyramid. Experimental results on the standard ORL and FERET databases show that the proposed method achieves more accurate face recognition than the waveletbased SPIHT feature selection. Moreover, it outperforms the other well-known methods such as the Eigenfaces and the block-based DCT with the zigzag scanning structure in terms of both accuracy and memory requirement 1 .

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“…Many face detection techniques have been proposed in the past decade [17][18][19][20]. They can be classified into geometry-based and color-based face detectors.…”

Section: A Preprocessingmentioning

confidence: 99%

“…Skin color has been proven to be an effective image feature for face detection. The automatic face detectors based on skin color [19,20] are relatively fast and therefore are beneficial for consumer applications [21,22], such as real-time face recognition embedded in a smart home environment [21].…”

Section: A Preprocessingmentioning

confidence: 99%

An efficient face recognition system based on embedded DCT pyramid

Atta

Ghanbari

2012

IEEE Trans. Consumer Electron.

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show abstract

“…To evaluate the road detection performance using the proposed color segmentation method, the detection rate, TPR, FPR and FNR, introduced by Do et al (2007) is applied, as follows. First of all, we define the exact road region as the true ground (TG), while all the pixels that are classified as road by the proposed method are defined as the detected ground (DG).…”

Section: Dynamic Fuzzy Road Detectionmentioning

confidence: 99%

“…For instance, an image database of eyes can be established, and a skin color database can be obtained from a color conversion matrix with color of the sclera. Consequently, fixed thresholds of the HSV space are introduced to detect the skin area in an input image (Do et al, 2007). However, the use of template images is restricted to specific objects, and may require a large image database.…”

Section: Introductionmentioning

confidence: 99%

Image-to-MIDI mapping based on dynamic fuzzy color segmentation for visually impaired people

Chen

Liao

Tai

2011

Pattern Recognition Letters

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“…Firstly, colour is an effective and essential visual cue to distinguish an object from others (Kim, You, Jeong, & Kim, 2008). Secondly, colour is almost invariant against changes in size, orientation and partial occlusion of the object under constant lighting conditions (Albiol, Torres, & Delp, 2001;Do, You, & Chien, 2007;Phung, Bouzerdoum, & Chai, 2005). This paper focused on colour-based vegetation segmentation in the absence of texture and shape cues.…”

Section: Introductionmentioning

confidence: 99%