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@article{ART001861274},
author={주성일 and 원선희 and HYUNG IL CHOI},
title={The I-MCTBoost Classifier for Real-time Face Detection in Depth Image},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2014},
volume={19},
number={3},
pages={25-35}

TY - JOUR
AU - 주성일
AU - 원선희
AU - HYUNG IL CHOI
TI - The I-MCTBoost Classifier for Real-time Face Detection in Depth Image
JO - Journal of The Korea Society of Computer and Information
PY - 2014
VL - 19
IS - 3
PB - The Korean Society Of Computer And Information
SP - 25
EP - 35
SN - 1598-849X
AB - This paper proposes a method of boosting-based classification for the purpose of real-time facedetection. The proposed method uses depth images to ensure strong performance of face detectionin response to changes in lighting and face size, and uses the depth difference feature to conductlearning and recognition through the I-MCTBoost classifier. I-MCTBoost performs recognition byconnecting the strong classifiers that are constituted from weak classifiers. The learning process for the weak classifiers is as follows: first, depth difference features are generated, and eight ofthese features are combined to form the weak classifier, and each feature is expressed as a binarybit. Strong classifiers undergo learning through the process of repeatedly selecting a specifiednumber of weak classifiers, and become capable of strong classification through a learning processin which the weight of the learning samples are renewed and learning data is added. This paperexplains depth difference features and proposes a learning method for the weak classifiers andstrong classifiers of I-MCTBoost. Lastly, the paper presents comparisons of the proposed classifiersand the classifiers using conventional MCT through qualitative and quantitative analyses toestablish the feasibility and efficiency of the proposed classifiers.
KW - Face detection;Depth image;Depth difference feature;I-MCTBoost (Improved Modified Census Transform);Boosting
DO -
UR -
ER -

주성일, 원선희 and HYUNG IL CHOI. (2014). The I-MCTBoost Classifier for Real-time Face Detection in Depth Image. Journal of The Korea Society of Computer and Information, 19(3), 25-35.

주성일, 원선희 and HYUNG IL CHOI. 2014, "The I-MCTBoost Classifier for Real-time Face Detection in Depth Image", Journal of The Korea Society of Computer and Information, vol.19, no.3 pp.25-35.

주성일, 원선희, HYUNG IL CHOI "The I-MCTBoost Classifier for Real-time Face Detection in Depth Image" Journal of The Korea Society of Computer and Information 19.3 pp.25-35 (2014) : 25.

주성일, 원선희, HYUNG IL CHOI. The I-MCTBoost Classifier for Real-time Face Detection in Depth Image. 2014; 19(3), 25-35.

주성일, 원선희 and HYUNG IL CHOI. "The I-MCTBoost Classifier for Real-time Face Detection in Depth Image" Journal of The Korea Society of Computer and Information 19, no.3 (2014) : 25-35.

주성일; 원선희; HYUNG IL CHOI. The I-MCTBoost Classifier for Real-time Face Detection in Depth Image. Journal of The Korea Society of Computer and Information, 19(3), 25-35.

주성일; 원선희; HYUNG IL CHOI. The I-MCTBoost Classifier for Real-time Face Detection in Depth Image. Journal of The Korea Society of Computer and Information. 2014; 19(3) 25-35.

주성일, 원선희, HYUNG IL CHOI. The I-MCTBoost Classifier for Real-time Face Detection in Depth Image. 2014; 19(3), 25-35.

주성일, 원선희 and HYUNG IL CHOI. "The I-MCTBoost Classifier for Real-time Face Detection in Depth Image" Journal of The Korea Society of Computer and Information 19, no.3 (2014) : 25-35.