• Journal of Korea Multimedia Society
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• v.14 no.8
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• pp.992-999
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• 2011

This paper proposed a human body posture recognition program based on haar-like feature and hand activity detection. Its distinguishing features are the combination of face detection and motion detection. Firstly, the program uses the haar-like feature face detection to receive the location of human face. The haar-like feature is provided with the advantages of speed. It means the less amount of calculation the haar-like feature can exclude a large number of interference, and it can discriminate human face more accurately, and achieve the face position. Then the program uses the frame subtraction to achieve the position of human body motion. This method is provided with good performance of the motion detection. Afterwards, the program recognises the human body motion by calculating the relationship of the face position with the position of human body motion contour. By the test, we know that the recognition rate of this algorithm is more than 92%. The results show that, this algorithm can achieve the result quickly, and guarantee the exactitude of the result.

• Journal of information and communication convergence engineering
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• v.7 no.2
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• pp.131-134
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• 2009

The red-eye effect in photography occurs when using a photographic flash very close to the camera lens, in ambient low light due to in experience. Once occurred, the photographer needs to remove it with image tool that requires time consuming, skillful process. In this paper, we propose a new method to extract and remove such red-eye area automatically. Our method starts with transforming ROB space to YCbCr and HSI space and it extracts the face area by using skin color information. The target red-eye area is then extracted by applying 8-direction contour tracking algorithm and removed. The experiment shows our method's effectiveness.

• Proceedings of the KIEE Conference
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• 1988.07a
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• pp.679-682
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• 1988

From the viewpoint of general recognition system, B-spline is introduced for the approximation and recognition of human profile contours. Profile contour is approximated to the cublic B-spline curve by least square fitting so that B-Spline nodes nearly correspond with the curvature extrema of the contour. This method is designed for the spline to be good features in recognition, and also showed good approximation compared with the variants of B-spline appraximation.

• Proceedings of the Korea Multimedia Society Conference
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• 2002.05c
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• pp.195-199
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• 2002

본 논문에서는 주어진 입력 이미지에서 얼굴 영역을 검출하기 위한 액티브 컨투어 모델(active contour models)을 제안한다. 제안한 모델은 스킨 칼라 모델(skin color model)에 의해 표현되는 사람 얼굴의 칼라 정보를 이용한다. 본 논문에서는 첨점(cusps), 모서리 (corners), 그리고 자동 위상 변화(automatic topological changes)를 고려한 레벨 셋 메소드(level set method)를 사용하여 액티브 컨투어를 진화시킨다. 실험 결과는 제안한 방법이 얼굴 영역 검출에 효과가 있음을 보여준다.

• Fashion & Textile Research Journal
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• v.11 no.1
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• pp.103-111
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• 2009

This study is to help make-up and coordination for image-making after analysis of facial color and shape of elderly women. The data was analyzed 55-75 years old 212 elderly women's face color and pictures by means of SPSS 12.0 statistics package. On the basis of the colorimetric data on face by Minolta CM2500D, this research considered the analysis of facial color, patternization of facial color and its analysis by age group; for the analysis of facial shape, this research patternized facial shape and analyzed its characteristic using both contour-based facial shape analysis and Kamata facial shape analysis. As for facial color, it was found that the lower age bracket has bright and reddish face, looking fine, while the higher age bracket has a conspicuously yellowish face, looking bad. The community of facial color is classified as 3 types and it was found out that the facial color of the subjects belonging to Type 3, whose L value is the largest, looked the brightest; the face of the subjects belonging to Type 2, whose a value is the largest, was much tinged with red, and the face of the subjects belonging to Type 1, whose b value is the largest were tinged with yellow. According to the analysis of facial shape, there appeared oval & long forms in the classification by contour, while there appeared a lot of downward-directed power and inner-directed power in the classification by Kamata, which is believed to reflect the phenomenon that their chin line becomes roundish and the facial length also tend to be longer due to aging.

• Archives of Plastic Surgery
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• v.36 no.6
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• pp.707-713
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• 2009

Purpose: The deep inferior epigastric perforator(DIEP) free flap is well known as an ideal donor site for the breast reconstruction. The flap can provide huge amount of fat tissue for breast and buttock contour, while it is also very useful as a thin skin flap to reconstruct the upper and lower extremities. We used a DIEP free flap in various site reconstructions besides the breast and would like to reinsure the usefulness of this flap. Methods: Twenty nine consecutive patients who underwent DIEP free flap surgery from 2001 January to 2007 December were reviewed. The case constituted seven male patients and twenty two female patients. There were sixteen breast reconstructions, five face reconstructions, five lower extremity reconstructions, two upper extremity reconstructions, and one buttock contour reconstruction. All clinical data were based on the patient's medical records. Results: All DIEP free flaps survived without major complications. There was no hematoma, seroma, or partial necrosis. The donor sites were closed primarily with linear scar on lower abdomen. The thinnest part of flap was 0.7 cm in thickness. The size of the largest flap was $38{\times}13cm$. The flaps were used in various types of skin and adipose tissue, adipose tissue only, and skin only according to the requirement of recipient site. Conclusion: The DIEP free flap was enough to provide a thin and huge flap for both breast and extremity reconstructions. It was able to provide versatile designs with sufficient adipose tissue. So we use it for 3 - dimentional face and buttock contour reconstructions. The DIEP free flap is a valuable reconstructive donor for face, upper and lower extremity in addition to breast without compromising the integrity of abdominal wall.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.42 no.1
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• pp.79-87
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• 2005

This paper presents an active contour model for extracting accurate facial regions in complex environments. In the model, a contour is represented by a zero level set of level function φ, and evolved via level set partial differential equations. Then, unlike general active contours, skin color information that is represented by 2D Gaussian model is used for evolving and slopping a curve, which allows the proposed method to be robust to noise and varying pose. To assess the effectiveness of the proposed method it was tested with several natural scenes, and the results were compared with those of geodesic active contours. Experimental results demonstrate the superior performance of the proposed method.

• Journal of KIISE:Software and Applications
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• v.31 no.5
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• pp.605-616
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• 2004

A new practical implementation of a facial verification system using cumulative histogram of surface curvatures for the local and contour line areas is proposed, in this paper. The approach works by finding the nose tip that has a protrusion shape on the face. In feature recognition of 3D face images, one has to take into consideration the orientated frontal posture to normalize after extracting face area from the original image. The feature vectors are extracted by using the cumulative histogram which is calculated from the curvature of surface for the contour line areas: 20, 30 and 40, and nose, mouth and eyes regions, which has depth and surface characteristic information. The L1 measure for comparing two feature vectors were used, because it was simple and robust. In the experimental results, the maximum curvature achieved recognition rate of 96% among the proposed methods.

• Proceedings of the Korea Multimedia Society Conference
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• 2001.06a
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• pp.142-145
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• 2001

본 논문에서는 얼굴추출을 하는데 있어서 빠른 속도로 얼굴의 구성요소들을 분할하고 추출한다. 효율적인 분할과 추출물 위해서 3가지의 정보를 사용한다. 첫 번째는 얼굴의 색상정보로써 배경 속의 얼굴을 찾는데 이용한다. 두 번째는 얼굴의 윤곽선 정보로 얼굴의 구성요소를 추출해 내는데 사용한다. 세 번째는 얼굴의 구조적인 정보를 이용하여 색상 및 윤곽선 정보를 이용하여 추출된 요소에 대해 얼굴의 다른 구성요소를 추출하는데 이용한다.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1996.04a
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• pp.655-657
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• 1996

In this study, the methods and equipment that can be used to detail the anthropomorphic data were developed. This new method that utilizes the Moire' interferometry and image processing technique is less expensive than the conventional methods. We took 36 subjects (18 years to 28 years old). The face area was calculated based on contour information. The cluster analysis about those data enables us to classify our subjects into four groups.