• The KIPS Transactions:PartD
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• v.12D no.3 s.99
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• pp.481-492
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• 2005

To guide the guiding robot for the visually impaired carefully, the digital map to be used to search a path must be detailed and has some information about dangerous spots. It also has to search not only safe but also short path through the position data by GPS and INS sensors. In this paper, as the difference of the ability that the visually unpaired can recognize, we have developed the localization tracking system so that it can make a movement path and verify position information, and the global navigation system for the visually impaired using the GPS and INS. This system can be used when the visually impaired move short path relatively. We had also verified that the system was able to correct the position as the assistant navigation system of the GPS on the outside.

• Archives of design research
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• v.17 no.3
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• pp.61-70
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• 2004

This study is focused on user awareness of avatar character in the cyber space. The purpose of this study is to investigate user preference toward avatar and test their awareness on it. The awareness of avatar is based on the applied degree of self-awareness, and also analyzed by factors using 3 elements such as loyalty, value and confidence in Maurice Wagner's study but self-projection was added to these three variables. The result shows that there is no significant statistical difference among response groups for age and sex classification but the preference and the value variables are significantly dependent on sex and age, respectively. There are strong correlation among each response variables for the awareness of avatar character and the loyalty and the preference variables are mostly correlated. The regression analysis shows that the preference of avatar is mostly affected by loyalty and thus the self awareness of avatar in the Cyberspace is proportional to user preference. It is shown that users do not awareness an avatar as a visual image but identify their avatar as an another selfness since they project themselves into those avatars.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.6 no.5
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• pp.783-788
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• 2002

Recently, research and developmental direction of communication system is concurrent adopting voice data and face image in speaking to provide more higher recognition rate then in the case of only voice data. Therefore, we present a method of lipreading in speech image sequence by using the 3-D facial shape model. The method use a feature information of the face image such as the opening-level of lip, the movement of jaw, and the projection height of lip. At first, we adjust the 3-D face model to speeching face Image sequence. Then, to get a feature information we compute variance quantity from adjusted 3-D shape model of image sequence and use the variance quality of the adjusted 3-D model as recognition parameters. We use the intensity inclination values which obtaining from the variance in 3-D feature points as the separation of recognition units from the sequential image. After then, we use discrete HMM algorithm at recognition process, depending on multiple observation sequence which considers the variance of 3-D feature point fully. As a result of recognition experiment with the 8 Korean vowels and 2 Korean consonants, we have about 80% of recognition rate for the plosives md vowels.

• Journal of the Institute of Convergence Signal Processing
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• v.1 no.1
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• pp.42-48
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• 2000

In this paper, we propose the face image recognition algorithm using skin color information, face region features such as eye, nose, and mouse, etc., and geometrical features of chin line. In the proposed algorithm, we used the intensity as well as skin color information in the HSI color coordinate which is similar to human eye system. The experimental results of proposed method shows improved extraction quality of face and provides adaptive extraction methods for the races. And also, we used chin line information as well as geometrical features of face such as eye, nose, mouse information for the improvement of face recognition quality, Experimental results shows the more improved recognition as well as extraction quality than conventional methods.

• Journal of Biosystems Engineering
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• v.21 no.3
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• pp.325-335
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• 1996

Visual features are crucial for monitoring the growth state, indexing the drying performance, and grading the quality of oak mushrooms. A computer vision system with neural net information processing technique was utilized to quantize quality factors of a dried oak mushrooms distributed over the cap and gill sides. In this paper, visual feature extraction algorithm were integrated with the neural net processing to deal with various fuzzy patterns of mushroom shapes and to compensate the fault sensitiveness of the crisp criteria and heuristic rules derived from the image processing results. The proposed algorithm improved the segmentation of the skin features of each side, the identification of cap and gill surfaces, the identification of stipe states and removal of the stipe, etc. And the visual characteristics of dried oak mushrooms were analyzed and primary visual features essential to tile quality evaluation were extracted and quantized. In this study, black and white gray images were captured and used for the algorithm development.

• Electronics and Telecommunications Trends
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• v.8 no.2
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• pp.60-68
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• 1993

지금까지 뇌에는 컴퓨터와 같은 클럭(clock) 신호가 없고 신경들 간의 활동은 비동기적이라고 알려져 왔다. 그러나, 1989년 Singer 연구 그룹에서 시각 피질에 있는 많은 신경들이 발진하며 이들 간에는 시각 영상에 따라 동기현상을 보인다고 발표한 후, 많은 실험과 모델링이 행해지고 있다. 이 분야의 응용으로는 여러 분야가 있으며, 특히 동기 발진 모델을 이용하였을 경우에 패턴 분리와 인식에 응용될 수 있다. 본 고에서는 신경회로망의 새로운 기류인 생물학적 발진 신경망의 실험과 모델링에 대한 동향을 분석하고자 한다.

• Proceedings of the Korean Information Science Society Conference
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• 1998.10c
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• pp.535-537
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• 1998

본 논문에서는 이진화된 영상에서의 2차원 정보와 그레이 영상에서의 3차원 프로파일 정보를 이용하여 BGA의 불량 상태를 시각적으로 검사하는 시스템에 대해서 기술한다. BGA의 결함을 자동으로 판정하기 위해 사용된 알고리즘은 이진 영상에서의 특징점들과 그레이영상의 3차원 프로파일 정보를 이용한 모델 정합 기술을 이용한다. 두가지 단계를 분리 검사함으로써 생산라인에서 초기에 에러를 검출해낼 수 있는 잇점이 있다. 그러나 조명이 열악한 경우에는 에러 인식율이 낮아진다.

• 프린팅코리아
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• s.24
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• pp.88-93
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• 2004

동서양을 막론하고 책의 역사를 거슬러 올라가 보면 인류문명의 기록을 남기기 위한 필사의 노력들을 발견할 수 있다. '기록'과 '보존'이라는 절대절명의 목적이 있었기 때문이다. 그러므로 최초 책이 등장하면서부터 미적기능을 통한 시각적인 효과 보다는 보존을 위한 기능이 더욱 중요시 되었다. 그러나 활자문화가 대중화되고 책이 상품으로 인식되기 시작하면서부터 보호.전달기능을 넘어서 보다 미적인 처리가 요구되었다. 이같은 책은 역사의 변화와 더불어 오래 보존이 가능하고 독특한 멋을 내기 위해 가죽, 나무, 비단, 철판, 비닐, 종이 등에 갖가지 화려한 문양을 첨가하면서 변모해 왔다.

• Proceedings of the Korean Information Science Society Conference
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• 2001.10b
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• pp.406-408
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• 2001

기본적인 투영기법인 평행투영, 원근투영 기법과 Octree 모델을 사용하여 임의의 시각방향에서 모델의 2차원 투영영상을 생성하고 노드표면을 시각방향으로 평행 투영하여 이들 벡터의 곱의 절대값을 사용하여 2차원 투영영상을 Pseudo gray로 표현해 본다. 또한 평행투영과 원근투영 하에서 2차원상의 모델에서 3차원 모델의 특징점을 찾을 수 있는 기법을 제안하고 두 개의 모델 영상에 적용해 증명해 보았다. 이 기법은 3차원 물체 인식에 중요한 정보로 유용하게 사용 될 수 있다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2007.10a
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• pp.981-984
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• 2007

Character recognition is one field of pattern recognition which comes true the ability of the human being with the computer. In this paper, we performed a comparative study on mostly used method of number detection and recognition. Also number recognition from hazard brain the human being with the model. We research about fundamental principle and back propagation algorithm for studying of neural networks.