• Title/Summary/Keyword: 개인이미지

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Face Recognition System Using Gray Color Features (흑백 색상 정보 특징을 이용한 얼굴 인식 시스템)

  • 이현순;오동수;유관우
    • Proceedings of the Korean Information Science Society Conference
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    • 2002.10d
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    • pp.583-585
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    • 2002
  • 얼굴 인식은 이미지에 대한 많은 변화(표정, 조명, 얼굴의 방향)로 인해 높은 인식률을 얻기 어렵다. 이 문제를 해결하기 위해, 여러 가지의 얼굴 인식에 관한 방법이 연구되었다. 본 논문은 윤곽선이 검출된 흑백 이미지에서 명암 정보를 이용하여 특징을 추출한 얼굴 인식 시스템을 구현한다. 얼굴 방향에 대해 제약조건을 지닌 정면의 얼굴 이미지에서 소벨 마스크(Sobel Mask)를 이용하여 추출한 윤곽선 이미지를 일정한 크기의 영역들을 구성하여 특징벡터를 생성한다. 생성된 특징벡터를 이용하여 빠른 속도로 얼굴의 특징을 추출하여 개인 정보를 생성할 수 있다. 개인 정보를 가지고 SVM(Support Vector Machine)을 이용하여 일대일 대응에서 인증을 실험한다. 이 시스템은 기하학적 특성 추출 방법보다 계산량이 적고, 높은 인식률을 보여준다.

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Service for connecting Shopping mall using Image Search (이미지 검색을 이용한 쇼핑몰 연계 서비스)

  • Ha, Yan;Jeong, Ji-Won;Kim, Ru-Bi;Choi, Ji-Yeon;Heo, Jeong-Yun
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2011.06a
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    • pp.173-174
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    • 2011
  • 본 논문에서는 그림을 그려서 원하는 이미지를 그리고, 이를 인식하여 상품을 찾아주는 정보전달 방식을 제안한다. 사용자가 원하는 이미지에 맞는 상품을 검색할 수 있도록 하는데, 그림 그리기가 가능하고, 개인의 "공감", "신뢰"를 실현하는 공간과 개인과 기업을 연결해주는 정보성 검색으로 쇼핑몰을 연계하는 것을 목표로 한다. 본문 내에서는 고객이 직접 찾는 디자인을 간단히 그리면 비슷한 그림의 상품이 나오게 되는 공간을 제작, 상품이 나오면 기업과의 연계를 통하여 구매로까지 이어질 수 있는 공간을 제시하는 것을 목표로 한다.

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Video Thumbnail Generation Using Character Face Recognition (얼굴인식을 활용한 영상 내 특정인물 기반 대표 이미지 추출 시스템)

  • Lee, Hyunji;Lee, Gyemin
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • fall
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    • pp.318-321
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    • 2021
  • 최근 인터넷 플렛폼이 대중화되면서 영상물을 접하는 횟수가 늘어났다. 영상 선택에 있어서 대표 이미지가 중요한 역할을 하는데, 현재 빅데이터를 이용하여 개인 맞춤 서비스가 활성화 되면서 이를 이용하여 개인 맞춤 서비스로 특정인물 기반 대표 이미지 추출할 수 있게 된다면 영상 선택에 있어 소비자의 편의를 도우며 이목을 끌 수 있을 것으로 예상된다. 이에 본 논문은 영상 산업기술과 방송 통신 융합 서비스의 일환으로 특정인물 기반 대표이미지를 추출하는 서비스에 대해 연구하였다. 이를 위하여 얼굴 인식을 처리하는 컴퓨터 비전 기술을 이용하여 얼굴 인식 분야를 연구 개발하였다.

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Privacy Protection using Adversarial AI Attack Techniques (적대적 AI 공격 기법을 활용한 프라이버시 보호)

  • Beom-Gi Lee;Hyun-A Noh;Yubin Choi;Seo-Young Lee;Gyuyoung Lee
    • Proceedings of the Korea Information Processing Society Conference
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    • 2023.11a
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    • pp.912-913
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    • 2023
  • 이미지 처리에 관한 인공지능 모델의 발전에 따라 개인정보 유출 문제가 가속화되고 있다. 인공지능은 다방면으로 삶에 편리함을 제공하지만, 딥러닝 기술은 적대적 예제에 취약성을 보이기 때문에, 개인은 보안에 취약한 대상이 된다. 본 연구는 ResNet18 신경망 모델에 얼굴이미지를 학습시킨 후, Shadow Attack을 사용하여 입력 이미지에 대한 AI 분류 정확도를 의도적으로 저하시켜, 허가받지 않은 이미지의 인식율을 낮출 수 있도록 구현하였으며 그 성능을 실험을 통해 입증하였다.

A Personal Information Security System using Form Recognition and Optical Character Recognition in Electronic Documents (전자문서에서 서식인식과 광학문자인식을 이용한 개인정보 탐지 및 보호 시스템)

  • Baek, Jong-Kyung;Jee, Yoon-Seok;Park, Jae-Pyo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.5
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    • pp.451-457
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    • 2020
  • Format recognition and OCR techniques are widely used as methods for detecting and protecting personal information from electronic documents. However, due to the poor recognition rate of the OCR engine, personal information cannot be detected or false positives commonly occur. It also takes a long time to analyze a large amount of electronic documents. In this paper, we propose a method to improve the speed of image analysis of electronic documents, character recognition rate of the OCR engine, and detection rate of personal information by improving the existing method. The analysis speed was increased using the format recognition method while the analysis speed and character recognition rate of the OCR engine was improved by image correction. An algorithm for analyzing personal information from images was proposed to increase the reconnaissance rate of personal information. Through the experiments, 1755 image format recognition samples were analyzed in an average time of 0.24 seconds, which was 0.5 seconds higher than the conventional PAID system format recognition method, and the image recognition rate was 99%. The proposed method in this paper can be used in various fields such as public, telecommunications, finance, tourism, and security as a system to protect personal information in electronic documents.

Anatomy-Based Face Animation for Virtual Reality (가상현실을 위한 해부학에 기반한 얼굴 애니메이션)

  • 김형균;오무송;고석만;김장형
    • Proceedings of the Korean Information Science Society Conference
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    • 2003.04c
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    • pp.280-282
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    • 2003
  • 본 논문에서는 가상현실 환경에서 인체 모델의 애니메이션을 위하여 얼굴의 표정 변화에 영향을 주는 해부학에 기반한 18개의 근육군쌍을 바탕으로 하여 얼굴 표정 애니메이션을 위한 근육의 움직임을 조합할 수 있도록 하였다. 개인의 이미지에 맞춰 메쉬를 변형하여 표준 모델을 만든 다음, 사실감을 높이기 위해 개인 얼굴의 정면과 측면 2 장의 이미지를 이용하여 메쉬에 매핑하였다. 얼굴의 표정 생성을 애니메이션 할 수 있는 원동력이 되는 근육 모델은 Waters의 근육 모델을 수정하여 사용하였다.

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Development of personalized clothing recommendation service based on artificial intelligence (인공지능 기반 개인 맞춤형 의류 추천 서비스 개발)

  • Kim, Hyoung Suk;Lee, Jong Hyuck;Lee, Hyun Dong
    • Smart Media Journal
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    • v.10 no.1
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    • pp.116-123
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    • 2021
  • Due to the rapid growth of the online fashion market and the resulting expansion of online choices, there is a problem that the seller cannot directly respond to a large number of consumers individually, although consumers are increasingly demanding for more personalized recommendation services. Images are being tagged as a way to meet consumer's personalization needs, but when people tagging, tagging is very subjective for each person, and artificial intelligence tagging has very limited words and does not meet the needs of users. To solve this problem, we designed an algorithm that recognizes the shape, attribute, and emotional information of the product included in the image with AI, and codes this information to represent all the information that the image has with a combination of codes. Through this algorithm, it became possible by acquiring a variety of information possessed by the image in real time, such as the sensibility of the fashion image and the TPO information expressed by the fashion image, which was not possible until now. Based on this information, it is possible to go beyond the stage of analyzing the tastes of consumers and make hyper-personalized clothing recommendations that combine the tastes of consumers with information about trends and TPOs.

A Cloud Service for Archiving and Interpreting Medical Images (의료 이미지 보관 및 판독 클라우드 서비스)

  • Kim, Soo Dong;Park, Jin Cheul;Jung, Han Ter;La, Hyun Jung
    • Journal of Internet Computing and Services
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    • v.17 no.3
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    • pp.45-54
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    • 2016
  • Medical images are an effective means to identity medical abnormalities.. Patients typically have medical images taken at different clinics during lifetime, and they often wish to have second interpretation on medical images showing substantial diseases. At present, since personal medical images are distributed to multiple clinics, there is a bit discomfort that patients directly bring their images by hands to get the second interpretation from another physician. With these two motivations, we design a cloud service for archiving medical images and interpreting medical images by physicians. We present the design and implementation of the service, and show its practical value as low-cost personal healthcare service. By using the service, patients can retrieve and review their medical images anytime and have a convenience of acquiring second opinions on their medical images at low-cost without visiting a clinic.

Development of Custom Necktie According to Personal Image - Characteristic of Necktie Design & Connecting to Job - (개인 이미지에 따른 맞춤형 넥타이 개발 - 넥타이 디자인의 특징 및 직업군과의 연결 -)

  • 홍지원
    • Archives of design research
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    • v.16 no.3
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    • pp.51-58
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    • 2003
  • The first impression of people plays a crucial role in deciding personal image. Except for the eyes, the V zone of a suit attracts people's attention most. Therefore, a necktie has an instant and strong influence in delivering the image of a man. This research divided images of men into several factors based on necktie that plays an important role in expressing men's images. Futhermore, this research inquired into characteristics of necktie designs that can express men's images. And this research presented visually through surveys. As a result, men's images were divided into six factors of uniqueness, sociality, generosity, notability, activeness & vitality and reliability with two axes of attractiveness and capability. Afterwards, the characteristic of necktie designs suitable for each image was presented. Furthermore, the characteristic of necktie designs suitable for jobs classification was presented by relating each image to six job classifications. Applying these facts into necktie sales, consumers will be able to choose their neckties that can express proper images according to their tastes, situations and jobs. Furthermore, consumers will be able to establish better image for themselves.

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What is Perceived the Image of Nurses?: Comparison Major and Non-Major Students (간호사 이미지 지각은 어떠한가?: 전공학생과 비전공 학생비교)

  • Yu, Seung-Yeob
    • Journal of Digital Convergence
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    • v.12 no.10
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    • pp.353-361
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    • 2014
  • This study was confirmed nurse's traditional, social, professional and personal image of the dimensional perception of the difference between the majors and non-majors students exist? and Reflected on the role of the media image of nurses are there differences in perception? and Nurses and nurse related information, and information on contacting the media and contacted the media image of the existing research results and is there a difference? For the purpose, we survey the nursing majors and non-majors students. The results follows. First, the traditional nurses, social, professional and personal image perception gap is high. Second, the media reflected the image of the nurse in charge of the secondary role of a doctor about the image is high. Third, the nurse contacted the media about the TV is very high. The results of this study have implications to enable communication between patients and nurses agree that will provide evidence. In particular, the nurses through the use of media(PPL and Publicity strategy) suggest ways to improve the image.