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김민하(Min-Ha Kim),이상걸(Sang-Geol Lee),조재현(Jae-Hyun Cho),차의영(Eui-Young Cha) 한국컴퓨터정보학회 2012 한국컴퓨터정보학회 학술발표논문집 Vol.20 No.2
본 논문에서는 RGBD(Red Green Blue Depth)센서를 이용하여 얻은 영상의 깊이 정보와 손 이미지의 기하학적 특징을 이용하여 손의 중심을 검출하는 방법을 제안한다. 영상의 깊이 정보와 피부색 정보를 이용하여 손 영역을 검출한다. 검출된 손의 기하학적 정보로 손에 대한 볼록 외피(convex hull)를 형성한다. 볼록 외피의 정점들(vertices)의 위치 정보를 이용하여 손의 중심을 찾는다. 손의 중심은 손의 위치를 추적하거나 손가락 개수를 구하는 것 등에 이용될 수 있다. 이러한 응용은 인간과 컴퓨터의 상호작용(HCI, Human Computer Interface)을 이용한 시스템에 적용될 수 있다.
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백정현(Jeonghyun Baek),김지수(Jisu Kim),윤창용(Changyong Yoon),김동연(Dong-yon Kim),김은태(Euntai Kim) 한국지능시스템학회 2013 한국지능시스템학회논문지 Vol.23 No.6
지능형 로봇 연구 분야에 있어, 손을 이용한 제스처 인식은 매우 중요한 연구 분야로 간주 되고 있으며, 스마트 폰, 스마트 TV 등에 상용화 되어왔다. 제스처 인식에 있어, 강인한 손 검출 기술을 필수적인데, 손의 모양이 일정치 않고, 복잡한 배경이나 조명변화 아래서는 손 검출이 쉽지 않다는 어려움이 있다. 본 논문은 실내 환경에서 사용자가 가리키는 방향을 인식하기 위한 손 검출 알고리즘을 제안한다. 손 검출에 대한 오검출을 최대한 줄이기 위해, 머리-어깨 검출 결과를 기반으로 손 검색 영역을 한정시키고, 피부색을 이용해 최소한의 후보군들을 발생시켜, HOG-SVM을 이용하여 손을 검출하였다. 그리고 머리-어깨, 손 검출 결과를 통해 팔의 방향 각도를 추정하였다. 제안된 방법은 실제 실내 환경에서 추출된 영상을 통해 실험을 진행하였고, 강인한 성능을 확인하였다. In intelligent robot research, hand gesture recognition has been an important issue. And techniques that recognize simple gestures are commercialized in smart phone, smart TV for swiping screen or volume control. For gesture recognition, robust hand detection is important and necessary but it is challenging because hand shape is complex and hard to be detected in cluttered background, variant illumination. In this paper, we propose efficient hand detection algorithm for detecting pointing hand for recognition of place where user pointed. To minimize false detections, ROIs are generated within the compact search region using skin color detection result. The ROIs are verified by HOG-SVM and pointing direction is computed by both detection results of head-shoulder and hand. In experiment, it is shown that proposed method shows good performance for hand detection.
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홍다검ㆍ이희경ㆍ이정현(Da Geom HongㆍHee kyung LeeㆍJeong Hyun Lee) 한국인체미용예술학회 2016 한국인체미용예술학회지 Vol.17 No.1
Recently, nail industry trends have been shifting from polish nail to gel nail. Because of the popularity of gel nail, the criteria for customers to choose colors have significantly changed. Therefore, there has been a rising demand for a nail color which goes well with skin color, not with the color of clothes, makes the hand more beautiful. Unlike a face, hand skin color isn’t corrected through makeup. Therefore, it is more difficult to find a color which is well matched with the skin tone. In this sense, the accurate analysis and classification of hand skin color which is the first step in the selection of nail color are required. However, it’s still very hard to find studies on hand skin color. To figure out the characteristics of Koreans’ hand skin color by age, this study analyzed differences in hand skin color by age after measuring the tone of the back of the hand and conducting quantitative analysis against 300 women living in Busan, Ulsan and Gyeongnam. The results revealed statistically significant difference (p.001). As the respondents were younger, a bright skin tone was observed. According to analysis on the distribution by the rank, ‘20s’ was the highest with 46% among those with a bright skin tone within top 100 ranks. In top 300 ranks, in contrast, ‘50s’ was the highest with 46% while ‘20s (8%)’ was the lowest. In terms of a skin tone, there was a considerable difference between ‘20s’ and ‘50s.’ Even though no big difference was found between ‘30s’ and ‘40s,’ a skin tone was brighter in the latter.
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구부러진 손가락 끝점 추적을 위한 컬러 영역 보정 알고리즘
강성관(Sung-Kwan Kang),정경용(Kyung-Yong Chung),임기욱(Kee-Wook Rim),이정현(Jung-Hyun Lee) 한국콘텐츠학회 2011 한국콘텐츠학회논문지 Vol.11 No.10
기존 손가락 추적을 수행하는데 있어 손가락 끝점을 계산하는 방법 중 가장 일반적인 방법은 먼저 피부색 정보를 추출한다. 블럽 함수의 블럽 컬러링(Blob Coloring) 알고리즘을 통하여 피부 윤곽선을 계산하고, 그중 가장 최상위 점을 손가락 끝점으로 정한다. 그러나 이 방법은 구부러진 손가락 상태에서 그것의 위치를 측정할 때 실제 손가락 끝이 아닌 잘못된 위치를 탐지하는 문제점을 가지고 있다. 본 논문에서는 구부러진 손가락 끝점 추적을 위한 컬러 영역 보정 알고리즘을 제안하였다. 제안하는 방법은 구부러진 손가락 상태에서의 손가락 끝점 추적시 잘못된 곳을 측정하는 문제점을 사용자들의 성향을 통해 미리 예상하고 보정함으로써 성능을 향상시키고자 한다. 제안하는 방법을 개발하여 논리적 타당성과 유효성을 검증하기 위해 실험적인 적용을 시도하고자 한다. 따라서 영상인식에서 서비스의 만족도와 질을 향상시켰다. In the field of image processing to track the fingertip much research has been done. The most common way to calculate the fingertip first, to extract color information. Then, it uses Blob Coloring algorithms which are expressed in blob functions the skin contour and calculates. The algorithm from contour decides the highest location with the fingertip. But this method when measuring it location from the finger condition which bents is not the actual fingertip and has the problem which detects the location which goes wrong. This paper proposes the color space correction algorithm to tracks the fingertip which bents. The method which proposes when tracking the fingertip from the finger condition which bents solves the problem which measures the location which goes wrong. Aim of this paper in compliance with the propensity of the users forecasts a problem in advance and corrects with improvement at the time of height boil an efficiency. Ultimately, this paper suggests empirical application to verify the adequacy and the validity with the proposed method. Accordingly, the satisfaction and the quality of services will be improved the image recognition.
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홍다검,이희경,이정현 한국인체미용예술학회 2016 한국인체미용예술학회지 Vol.17 No.1
Recently, nail industry trends have been shifting from polish nail to gel nail. Because of the popularity of gel nail, the criteria for customers to choose colors have significantly changed. Therefore, there has been a rising demand for a nail color which goes well with skin color, not with the color of clothes, makes the hand more beautiful. Unlike a face, hand skin color isn’t corrected through makeup. Therefore, it is more difficult to find a color which is well matched with the skin tone. In this sense, the accurate analysis and classification of hand skin color which is the first step in the selection of nail color are required. However, it’s still very hard to find studies on hand skin color. To figure out the characteristics of Koreans’ hand skin color by age, this study analyzed differences in hand skin color by age after measuring the tone of the back of the hand and conducting quantitative analysis against 300 women living in Busan, Ulsan and Gyeongnam. The results revealed statistically significant difference (p.001). As the respondents were younger, a bright skin tone was observed. According to analysis on the distribution by the rank, ‘20s’ was the highest with 46% among those with a bright skin tone within top 100 ranks. In top 300 ranks, in contrast, ‘50s’ was the highest with 46% while ‘20s (8%)’ was the lowest. In terms of a skin tone, there was a considerable difference between ‘20s’ and ‘50s.’ Even though no big difference was found between ‘30s’ and ‘40s,’ a skin tone was brighter in the latter.
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