• Title/Summary/Keyword: 미러볼

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Real-time Shading Effect For Augmented Reality (증강현실을 위한 실시간 광원정보 획득 방법 및 가상물체의 음영효과 적용 - 증강현실에서 몰입감과 사실성을 증가시키기 위한 광원정보 상황연계)

  • Cho, Jae-Hwan;Park, Jin-Ah;Kim, Jong-Sung;Son, Wook-Ho
    • 한국HCI학회:학술대회논문집
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    • 2008.02a
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    • pp.785-789
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    • 2008
  • 증강현실은 실제환경에 가상물체를 합성하는 기술을 이용하고 여러가지 상황정보를 반영하여 가상물체가 실제환경에 있는듯한 느낌을 준다. 기존의 연구에서는 주로 가상물체의 좌표계를 실제환경과 일치시킴으로서 사실성을 주고 있다. 하지만 실제 환경의 주변광원이 가상물체에 사실적으로 적용되지 않으면 몰입감이 떨어지게 된다. 본 논문에서는 증강현실에서 가상물체에 실제환경의 상황정보 중 음영정보를 손쉽게 일치시키는 방법을 제안하여 사실성을 증가 시키고자 하였다. 음영효과는 주변광에 의해서 만들어지므로 가상물체를 합성할 위치 주변의 광원을 미러볼을 사용하여 쉽고 간단하게 획득하고 가장물체에 적용될 광원지도를 생성하는 방법을 제안한다. 또한, 본 논문에 소개될 주변광원 정보 획득 및 음영을 적용 방법은 특수장비가 필요없고 실시간으로 처리가 가능하기 때문에 유비쿼터스 환경, 모바일 환경 등 폭 넓게 적용될 수 있다.

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A Convergence Study through Flow Analysis of Automotive Side Mirror (자동차 사이드미러의 유동 해석을 통한 융합연구)

  • Oh, Bum-Suk;Cho, Jae-Ung
    • Journal of the Korea Convergence Society
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    • v.10 no.9
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    • pp.161-166
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    • 2019
  • This study examines the flows near the different side mirrors by analyzing the flow due to air resistance at A, B and C models of automotive side mirrors. Model A is a square-shaped side-mirror. Model B is a triangular side-mirror and model C is an oval-shaped side-mirror. The air resistance of the side-mirror while driving is reduced and the automotive power can be reduced by changing the design of automotive side-mirror. As analysis result, as the pressure of air resistance against side mirror becomes larger, it can be seen that the air flow rate becomes great. Therefore, it can be estimated that the smaller the pressure of air resistance, the smaller the flow rate and the better the air flow. Therefore, it can be acknowledged that model B is the best model. As the design data of the automotive side mirror obtained on the basis of this study result are utilized, the esthetic sense can be shown while driving a car at real life.

Development of Smart Mirror System based on the Raspberry Pi (Raspberry Pi를 이용한 스마트 미러 개발)

  • Lin, Zhi-Ming;Kim, Chul-Won
    • The Journal of the Korea institute of electronic communication sciences
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    • v.16 no.2
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    • pp.379-384
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    • 2021
  • With people's continuous research and exploration in the field of artificial intelligence, more relatively mature artificial intelligence technology is applied in people's daily life. Mirrors are the most commonly used daily necessities in life, and it should be applied to artificial intelligence. The research results of this paper show that the smart mirror designed based on the raspberry pi displays weather, temperature, greetings, and has a human-mirror interaction function. The research method of this paper uses the Raspberry pi 3B + as the core controller and Google Assistant as the intelligent control. When connected to the network via Raspberry Pi's own WiFi, the mirror can automatically display and update time, weather and news information features. You can wake up the Google Assistant using keywords, then control the mirror to play music, remind the time, It implements the function of smart mirror voice interaction. Also, all the hardware used in this study is modular assembly. Later, it is convenient for user to assemble by himself later. It is suitable for market promotion at an affordable price.

Smart mirror system providing useful information (유용한 정보를 제공하는 스마트 미러 시스템)

  • Oh, Dong-Hwa;Shin, Ju-Beom;Kwon, Na-Yeong;Cho, Woo-Hyun
    • Proceedings of the Korea Information Processing Society Conference
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    • 2018.10a
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    • pp.953-955
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    • 2018
  • 일상 속 어느 곳에서나 쉽게 볼 수 있는 것이 거울이다. 스마트 미러 시스템은 거울을 이용해 현대인들의 편의적 욕구를 충족시켜 줄 수 있는 똑똑한 거울이다. 스마트 미러 시스템은 거울을 비치할 수 있는 곳이라면 어디든 설치가 가능하고 음성인식, 모바일 어플리케이션 등을 이용해 사용자들에게 사용하기 쉬운 인터페이스를 제공할 수 있다.

An Improved Joint Bayesian Method using Mirror Image's Features (미러영상 특징을 이용한 Joint Bayesian 개선 방법론)

  • Han, Sunghyu;Ahn, Jung-Ho
    • Journal of Digital Contents Society
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    • v.16 no.5
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    • pp.671-680
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    • 2015
  • The Joint Bayesian[1] method was published in 2012. Since then, it has been used for binary classification in almost all state-of-the-art face recognition methods. However, no improved methods have been published so far except 2D-JB[2]. In this paper we propose an improved version of the JB method that considers the features of both the given face image and its mirror image. In pattern classification, it is very likely to make a mistake when the value of the decision function is close to the decision boundary or the threshold. By making the value of the decision function far from the decision boundary, the proposed method reduces the errors. The experimental results show that the proposed method outperforms the JB and 2D-JB methods by more than 1% in the challenging LFW DB. Many state-of-the-art methods required tons of training data to improve 1% in the LFW DB, but the proposed method can make it in an easy way.

Improvement of Migration Image for Ocean-bottom Seismic Data using Wavefield Separation and Mirror Imaging (파동장 분리와 미러 이미징을 이용한 해저면 탄성파 탐사 자료의 참반사 보정 영상 개선)

  • Lee, Ganghoon;Pyun, Sukjoon
    • Geophysics and Geophysical Exploration
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    • v.21 no.2
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    • pp.112-124
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    • 2018
  • Ocean-bottom seismic survey is a seismic acquisition technique which measures data by installing 4-component receiver on the sea floor. It can produce more improved data in quality than any other acquisition techniques. In the ocean-bottom seismic survey, however, the number of receivers is limited due to high cost. Since only a small number of receivers are used for acquisition, ocean-bottom seismic data may suffer from discontinuities of events over traces, which can result in spatial aliasing. In this paper, we implemented Kirchhoff migration using mirror-imaging algorithm to improve the quality of ocean-bottom seismic image. In order to implement the mirror imaging algorithm, the seismograms should be separated into up-going and down-going wavefields and the down-going wavefield should be used for migration. In this paper, we use the P-Z summation method to separate the wavefield. Numerical examples show that the migration results using mirror imaging algorithm have wider illumination than the conventional migration, especially in the shallow layers.

Selective Interactivity and Reflexive Intermediality: Focusing on the Neflix Film (선택의 상호작용성과 성찰의 상호미디어성: <블랙미러: 밴더스내치>를 중심으로)

  • Kim, Mookyu
    • The Journal of the Korea Contents Association
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    • v.21 no.8
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    • pp.60-68
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    • 2021
  • The purpose of this paper is to examine the formal characteristics of , which has been screened on Netflix since 2018. This film can be considered an interactive narrative because it gives viewers the opportunity to select their own narrative forks which lead to various endings. However, it also limits viewers' freedom of interactions in many ways, resulting in the pessimistic narrative world of series. In this contradictory situation, the conflict between the user's selectability and the narrator's authoriality emerges. And this collision gives rise to a complex form in which nonlinear interactive and linear narrative forms blend together. It can be understood as a form of self-reflection, such as forms of the metalepsis and breaking the fourth wall. In this paper, this particular form will be regarded as a sort of reflexive intermediality, i. e. the form for media reflexion.

Smart Mirror for Facial Expression Recognition Based on Convolution Neural Network (컨볼루션 신경망 기반 표정인식 스마트 미러)

  • Choi, Sung Hwan;Yu, Yun Seop
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.05a
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    • pp.200-203
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    • 2021
  • This paper introduces a smart mirror technology that recognizes a person's facial expressions through image classification among several artificial intelligence technologies and presents them in a mirror. 5 types of facial expression images are trained through artificial intelligence. When someone looks at the smart mirror, the mirror recognizes my expression and shows the recognized result in the mirror. The dataset fer2013 provided by kaggle used the faces of several people to be separated by facial expressions. For image classification, the network structure is trained using convolution neural network (CNN). The face is recognized and presented on the screen in the smart mirror with the embedded board such as Raspberry Pi4.

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Smart Mirror to support Hair Styling (헤어 스타일링 지원 스마트 미러)

  • Noh, Hye-Min;Joo, Hye-Won;Moon, Young-Suk;Kong, Ki-Sok
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.20 no.1
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    • pp.127-133
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    • 2020
  • This paper deals with the development of a smart mirror to support changing hair styles. A key function of the service is the ability to synthesize the image into the user's face when the user chooses a desired hair image and virtually styling the hair. To check the effectiveness of the hair image synthesis function, the success rate measurement experiment of Haar-cascade algorithm's facial recognition was conducted. Experiments have confirmed that the facial recognition succeeds with a 95 percent probability, with both eyes and eyebrows visible to the subjects. It is the highest success rate. It confirmed that if either of the eyebrows of the subjects are not visible or one eyeball is covered, the success rate of facial recognition is 50% and 0% respectively.

타이어와 자동차의 미러 이야기

  • Kim, Won-Ha
    • The tire
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    • s.232
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    • pp.22-25
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    • 2007
  • 탈거리의 발달은 급기야 전 세계를 하루 생활권으로 만들었다. 비행기, 기차, 자동차, 선박 같은 교통수단의 발달은 이른바 글로벌시대를 열어 전 세계가 하나의 가족이 되어 가는데 가장 큰 역할을 했고, 특히 자동차는 사람이나 화물을 운송하는 주요 수단으로서 현대인들에게 의식주 못지않게 중요한 필수품이 되었으며, 전 세계적으로 그 수요가 급속히 증가하고 있는 실정이다. 자동차는 시간과 공간을 효율적으로 사용할 수 있게 하는 등 많은 이익을 주는 반면 교통사고 및 교통체증에 의한 인적, 물적, 경제적 손실 등과 같은 많은 사회적 문제들을 유발시키고 있는 것도 사실이다. 일반적으로 교통사고는 인간적, 차량적, 도로적 요인 등 개개별 요인과 이들의 교호작용에 의해서 발생하기 때문에 차량의 안전운행을 위한 대책은 이들 요인들의 종합적인 분석을 통하여 해결할 수 있다. 이에 따라 운전자와 보행자를 동시에 보호할 수 있고, 운행 시 운전자의 편의를 제공할 수 있는 차량안전시스템 및 이를 위한 제어기술, 정보통신기술, ITS기술, 차량동역학기술 및 차체설계기술 등이 개발 되고 있고, 과거 자동차에서는 볼 수 없었던 시트벨트, 에어백, 범퍼, 차체충격흡수장치, 도어 임팩트 빔 등이 개발되어 교통사고 시 피해를 극소화하는데 기여하고 있다.

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