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컬러영상서 Pulse-coupled Neural Network를 이용한 얼굴 추출 알고리즘
임영완,최진영,나진희 한국지능시스템학회 2004 한국지능시스템학회논문지 Vol.14 No.5
In this work, we suggested the method which improves the efficiency of the face detection algorithm using Pulse-Coupled Neural Network. Face detection algorithm which uses the color information is independent on pose, size and obstruction of a face. But the use of color information encounters some problems arising from skin-tone color in the background, intensity variation within faces, and presence of random noise, and so on. Depending on these conditions, we obtained the mean and variance of the skin-tone colors by experiments. Then we introduce a preprocess that the pixel with a mean value of skin-tone colors has highest level value (255) and the other pixels in the skin-tone region have values between 0 and 255 according to a normal distribution with a variance. This preprocess leads to an easy decision of the linking coefficient of Pulse-Coupled Neural Network. 본 논문에서는 컬러영상에서 Pulse-Coupled Neural Network를 이용한 얼굴 추출 알고리즘의 성능을 향상시키는 방법에 대하여 논의하였다. 색상정보를 이용한 얼굴 추출 알고리즘은 얼굴의 기울어진 정도나 크기 등에 영향을 받지 않으므로, 형태정보를 이용한 얼굴 추출 알고리즘에 비해 비교우위를 가진다. 그러나, 조명의 변화가 심하거나 피부색과 유사한 배경이 포함되어 있을 경우 적절한 성능을 내기 어렵다. 이러한 문제점들을 해결하기 위해 본 논문에서는 실험을 통해 피부색의 평균과 분산값을 미리 구한 후, 전처리 과정을 거쳐 피부색의 평균값을 갖는 픽셀이 255값을 갖고, 나머지 픽셀값들이 255를 중심으로 정규분포를 이루도록 하였다. 이러한 전처리 과정을 통해 Pulse-Coupled Neural Network의 linking coefficient를 보다 쉽게 결정하도록 하였다.
임영완 한국무역학회 2002 무역학자 전국대회 발표논문집 Vol.2002 No.8
Our country's mobile telephone industry is a relatively weak area due mainly to its heavy dependence on foreign supply of key parts and backward marketing technique, compared to its counterparts of advanced countries. In order for Korean enterprises to explore the proper measures in line with the market expansIOn strategy In China, they are requested to cooperate with the government effectively to benchmark successful entries in China by major leaders of the industry including Nokia that has overcome the limit of small market size of its mother country and grown to be the world's biggest manufacturer of mobile telephones. Since China's admission to WTO, the prospects of opening policy, increase of new demand and expansion of CDMA market are offering vital chances to Korean manufacturers who are most competitive in the area of CDMA. However, in spite of such positive factors as realization of economy of Size, geographical advantage, cultural homogeneity, competitiveness in CDMA that Korean enterprises can enjoy in Chinese market, there are some disadvantages, too, that may negatively function, such as preference policy for Chinese products by Chinese government, its various regulations, deepened competition with newly entering or already entered companies, continuing improvement In competitiveness of Chinese companies and ever increasing competition among Korean enterprises in the wake of overlapped investments in that market.
룻소의 자유주의 교육사상이 현대체육에 미친 영향 : 에밀을 통해본 Through Emiel's Work
김종환,임영완 慶熙大學校 體育科學大學 1991 體育科學論叢 Vol.- No.4
This subject deal with Rousseau(Thincer of naturalism) as the central figure, his phase of the time, literary work of a lifetime and educational thought of his literary work "Emiel" is how influence modern physical Education The Conclusion was obtained as follows. 1. Rousseau's education method help child's growth, Education with child as the central figure active according to child's interest, curiously, and insistence individual principle to develop congenital ability according to individual character show consistency one skill for one man of today Education. 2. As Rousseau's Naturalism thought emphasizes physical activities for nurturing strong(healthy man) man, so the importance of body is recognized and the development of sociality seems to be emphasized, therefore above mantianed, pursuiting educational ideology for the whole man accords to modern physical education. 3. With emil's in mind, Rousseau contends lifelong education and insists that if Education converts into a practice, education accomplishments are attained as Rousseau's naturalistic thought to Education seems to have influence on philanthropism to modern physical Education, so physical education seems to be basis for having right place in education.
컬러영상에서 Pulse-Coupled Neural Network를 이용한 얼굴 추출 알고리즘
임영완(Young Wan Lim),나진희(Jin Hee Na),최진영(Jin Young Choi) 한국지능시스템학회 2004 한국지능시스템학회 학술발표 논문집 Vol.14 No.1
본 논문에서는 컬러영상에서 Pulse-Coupled Neural Network를 이용한 얼굴 추출 알고리즘의 성능을 향상시키는 방법에 대하여 논의하였다. 색상정보를 이용한 얼굴 추출 알고리즘은 얼굴의 기울어진 정도나 크기 등에 영향을 받지 않으므로, 형태정보를 이용한 얼굴 추출 알고리즘에 비해 비교우위를 가진다. 그러나 조명의 변화가 심하거나, 피부색과 유사한 배경이 포함되어 있을 경우 적절한 성능을 내기 어렵다. 이러한 문제점들을 해결하기 위해 본 연구에서는 넓은 피부색 영역을 추출하고. Pulse-Coupled Neural Network를 통해 공간적으로 근접한 피부색 동종영역을 분리해 내는 방법을 사용하였다. 그러고 피부색 영역에 해당하는 픽셀들이 다른 영역들에 비해 큰 값을 갖도록 하여, Pulse-Coupled Neural Network의 linking coefficient를 보다 쉽게 결정하도록 하였다.
컬러영상에서 Pulse-Coupled Neural Network를 이용한 얼굴 추출 알고리즘
임영완(Young Wan Lim),나진희(Jin Hee Na),최진영(Jin Young Choi) 한국지능시스템학회 2004 한국지능시스템학회논문지 Vol.14 No.5
본 논문에서는 컬러영상에서 Pulse-Coupled Neural Network를 이용한 얼굴 추출 알고리즘의 성능을 향상시키는 방법에 대하여 논의하였다. 색상정보를 이용한 얼굴 추출 알고리즘은 얼굴의 기울어진 정도나 크기 등에 영향을 받지 않으므로, 형태정보를 이용한 얼굴 추출 알고리즘에 비해 비교우위를 가진다. 그러나, 조명의 변화가 심하거나 피부색과 유사한 배경이 포함되어 있을 경우 적절한 성능을 내기 어렵다. 이러한 문제점들을 해결하기 위해 본 논문에서는 실험을 통해 피부색의 평균과 분산값을 미리 구한 후, 전처리 과정을 거쳐 피부색의 평균값을 갖는 픽셀이 255값을 갖고, 나머지 픽셀값들이 255를 중심으로 정규분포를 이루도록 하였다. 이러한 전처리 과정을 통해 Pulse-Coupled Neural Network의 linking coefficient를 보다 쉽게 결정하도록 하였다. In this work, we suggested the method which improves the efficiency of the face detection algorithm using Pulse-Coupled Neural Network. Face detection algorithm which uses the color information is independent on pose, size and obstruction of a face. But the use of color information encounters some problems arising from skin-tone color in the background, intensity variation within faces, and presence of random noise, and so on. Depending on these conditions, we obtained the mean and variance of the skin-tone colors by experiments. Then we introduce a preprocess that the pixel with a mean value of skin-tone colors has highest level value (255) and the other pixels in the skin-tone region have values between 0 and 255 according to a normal distribution with a variance. This preprocess leads to an easy decision of the linking coefficient of Pulse-Coupled Neural Network.