• 제목/요약/키워드: Place Image

검색결과 803건 처리시간 0.021초

무선 로봇을 이용한 네트워크 영상 제어 시스템의 설계 (Implementation of Network Image Control System using Wireless Robot)

  • 김택수;박상조
    • 한국콘텐츠학회:학술대회논문집
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    • 한국콘텐츠학회 2003년도 추계종합학술대회 논문집
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    • pp.177-180
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    • 2003
  • 본 논문에서는 사람이 접근하기 힘들거나 위험한 곳을 카메라가 내장된 무선 로봇을 이용하여 네트워크에서 영상을 감시하고, 제어하는 영상제어시스템을 실현한다. 잡음 제거 회로에 의해 무선 통신에서 발생하는 잡음을 경감시키고, 수은전지를 사용하여 로봇 동작시간을 증가시킨다. 인터넷을 통한 네트워크의 구성에 의해 원격으로 장소에 관계없이 무선 로봇을 제어하고, 영상신호를 감시할 수 있다.

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사진 속 피사체의 법선 벡터 예측에 기반한 햅틱 상호 작용 (Haptic Interaction with Objects Displayed in a Picture based on Surface Normal Estimation)

  • 김승찬;권동수
    • 로봇학회논문지
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    • 제8권3호
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    • pp.179-185
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    • 2013
  • In this paper we propose a haptic interaction system that physically represents the underlying geometry of objects displayed in a 2D picture, i.e., a digital image. To obtain the object's geometry displayed in the picture, we estimate the physical transformation between the object plane and the image plane based on homographic information. We then calculate the rotated surface normal vector of the object's face and place it on the corresponding part in the 2D image. The purpose of this setup is to create a force that can be rendered along with the image without distorting the visual information. We evaluated the proposed haptic rendering system using a set of pictures of objects with different orientations. The experimental results show that the participants reliably identified the geometric configuration by touching the object in the picture. We conclude this paper with a set of applications.

철도에서 화상처리기술에 관한 고찰 (A study of image processing technology in railway)

  • 조봉관
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2004년도 하계학술대회 논문집 B
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    • pp.1409-1411
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    • 2004
  • [$80\;\sim\;90\%$ of Information that human masters from outside are image information which depend on sight. So, in case machine takes the place of human's function, role of image processing is very important. However, because human's sight function is formed through evolution and studying for a long time, substituting it for computer attend with unexpected difficulty. In railroad, there are many field which the application of automation system is expected by using computer instead of safety watch that depend on usual human sight, macrography. But, there are many research field and conditions in the railroad when various outside conditions are considered, comparing with another field. This study analyses the recent image processing technology and reviews the task of image processing technology and its direction.]

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시계열 스트리트뷰 데이터베이스를 이용한 시각적 위치 인식 알고리즘 (Visual Location Recognition Using Time-Series Streetview Database)

  • 박천수;최준연
    • 반도체디스플레이기술학회지
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    • 제18권4호
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    • pp.57-61
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    • 2019
  • Nowadays, portable digital cameras such as smart phone cameras are being popularly used for entertainment and visual information recording. Given a database of geo-tagged images, a visual location recognition system can determine the place depicted in a query photo. One of the most common visual location recognition approaches is the bag-of-words method where local image features are clustered into visual words. In this paper, we propose a new bag-of-words-based visual location recognition algorithm using time-series streetview database. The proposed algorithm selects only a small subset of image features which will be used in image retrieval process. By reducing the number of features to be used, the proposed algorithm can reduce the memory requirement of the image database and accelerate the retrieval process.

Design of Image Generation System for DCGAN-Based Kids' Book Text

  • Cho, Jaehyeon;Moon, Nammee
    • Journal of Information Processing Systems
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    • 제16권6호
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    • pp.1437-1446
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    • 2020
  • For the last few years, smart devices have begun to occupy an essential place in the life of children, by allowing them to access a variety of language activities and books. Various studies are being conducted on using smart devices for education. Our study extracts images and texts from kids' book with smart devices and matches the extracted images and texts to create new images that are not represented in these books. The proposed system will enable the use of smart devices as educational media for children. A deep convolutional generative adversarial network (DCGAN) is used for generating a new image. Three steps are involved in training DCGAN. Firstly, images with 11 titles and 1,164 images on ImageNet are learned. Secondly, Tesseract, an optical character recognition engine, is used to extract images and text from kids' book and classify the text using a morpheme analyzer. Thirdly, the classified word class is matched with the latent vector of the image. The learned DCGAN creates an image associated with the text.

어린이박물관 전시공간의 접근도 향상을 위한 이미지평가 연구 (A Study on the Image Evaluation for hight accessibility in Museum for Children)

  • 송정화;임채진;유은미
    • 한국실내디자인학회논문집
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    • 제20권2호
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    • pp.20-29
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    • 2011
  • This research is based on the environmental psychology model of Albert Mehrabian & JAMES a. Russell. The purpose of this research is to search a method of planning a spatial image improving the degree of access that is audience's dependent response to a display space image of a museum for children. A museum for children is the place for education with experience and its main audience is children and parents. It indicates with a basis of the environmental psychology model that a designer needs to consider the emotional response of children and parents in designing the space. The space design starts from a plan of space image that is delivered to audience through the five senses. Image on the space means visual image as people acquire information mostly through the sense of sight. Visual image consists of shape, the feel of a material, and color that is the most influential factor to the sensibility of audience. Therefore, firstly, this research measures the degree of audience's approach and avoidence on image of display space. In addition, this research suggests the improvement method by analyzing differences on the access of each space and audience based on visual image. Secondly, four factors are extracted through factor analysis based on the result of adjective survey result.

가로 건축물 색채 이미지 평가 연구 -업무·상업용도 건축물을 중심으로- (A Study on the Color Image Evaluation of Buildings on Urban Street)

  • 정가영;이향미
    • 한국농촌건축학회논문집
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    • 제13권4호
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    • pp.83-90
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    • 2011
  • The purpose of this study is to grasp the color situation of buildings on Urban Street, through the color image evaluation to research primary factors have an effect on color image preferences. A scope of this study is district of Sang Mu in Gwangju Metropolitan City. A method of study put out evaluation model after BIB test by photography, spot color. And performed Factorial Design, Multiple Regression Analysis through SD questionnaire. The result of this study show that color situation exceedingly used YR predominates, support, stress color, in the second place used predominate, support color is B, stress color is R. Luminosity showed middle luminosity 4.1~7.0, low freshness distribution. Color image was evaluated modern and cold image and appeared affirmative aspect clean, order, neat image and showed negative aspect stiff, flat image. And 'comfortableness', 'unification' had an effect on color image preferences The result of this study showed that color plan need to improve comfortableness, unification bring control into line color at building color image of urban street.

절도죄에서 소매치기에 관한 연구 (A Study on Pickpocket of Theft)

  • 신성윤;신광성;이종찬;박상준;이양원;이현창
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2012년도 추계학술대회
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    • pp.41-43
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    • 2012
  • 소매치기는 대부분 붐비거나 혼잡한 곳에서 발생한다. 그러나 현재에는 인적이 드문 한적한 곳에서 더 많이 발생하고 있다. 본 논문에서는 절도 중에서 소매치기를 대상으로 영상 포렌식의 증거 자료로 제출하기 위하여 현장을 분류하도록 한다. 소매치기 현장을 찍은 비디오를 대상으로 분류를 하여 증거 자료를 제출하고자 한다.

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20, 30대 성인남성의 캐주얼 의류 쇼핑 성향과 자기 이미지 및 점포 속성에 관한 연구 (A Study on the Shopping Orientation, Self-image, and the Store Attributes of the Men in Twenties and Thirties)

  • 신수연;김용덕
    • 복식문화연구
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    • 제8권2호
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    • pp.305-314
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    • 2000
  • The purposes of this study were (1) to segment the men in twenties and thirties according to apparel shopping orientation and (2) to create a profile for each group with regard to importance of store attributes, self-image and demographic variables. The questionnaire was administered to men in twenties and thirties living in Seoul and data were analyzed by frequency, percentage, factor analysis, cluster analysis, χ²-test, and one-way ANOVA. The results were as follows : 1) By cluster analysis of apparel shopping orientation factors, three groups were identified : (1) ostentatious shopper(44.5%), (2) practical shopper(21.8%), and (3) individuality-pursuit shopper(33.7%). 2) Three groups were compared on store attributes and self-image. Significant differences were found among the three groups on two variables. Ostentatious shoppers pursued the masculine and sophisticated image and tended to prefer the store image and reputation, convenient transportation and parking place, and variety of products. Practical shoppers pursued the self-image which reflected the conservative and not-noticeable image and considered the moderate price of the products most importantly. Finally, individuality-pursuit shoppers preferred the sexy and noticeable image and considered the display and accommodation of the trendy products. 3) In terms of the demographic variables the significant differences were found on education, occupation, monthly income, and marital status. In general ostentatious shoppers tended to earn higher monthly income than those of the two groups. Practical shoppers tended to be well-educated and individuality-pursuit shoppers tended not to be married.

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이미지 센서의 최근 기술 동향과 향후 전망 (Recent Technology Trends and Future Prospects for Image Sensor)

  • 박상식;신범재;우형수
    • 마이크로전자및패키징학회지
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    • 제27권2호
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    • pp.1-10
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    • 2020
  • The technology and market size of image sensors continue to develop thanks to the release of image sensors that exceed 100 million pixels in 2019 and expansion of black box camera markets for vehicles in addition to existing mobile applications. We review the technology flow of image sensors that have been constantly evolving for 40 years since Hitachi launched a 200,000-pixel image sensor in 1979. Although CCD has made inroads into image sensor market for a while based on good picture quality, CMOS image sensor (CIS) with active pixels has made inroads into the market as semiconductor technology continues to develop, since the electrons generated by the incident light are converted to the electric signals in the pixel, and the power consumption is low. CIS image sensors with superior characteristics such as high resolution, high sensitivity, low power consumption, low noise and vivid color continue to be released as the new technologies are incorporated. At present, new types of structures such as Backside Illumination and Isolation Cell have been adopted, with better sensitivity and high S/N ratio. In the future, new photoconductive materials are expected to be adopted as a light absorption part in place of the pn junction.