• Title/Summary/Keyword: overlapping projectors

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Avoiding Specularity for Direct-Projected Augmented Reality (직접 투사형 증강현실을 위한 전반사 회피)

  • Park, Han-Hoon;Lee, Moon-Hyun;Kim, Sang-Jun;Park, Jong-Il
    • 한국HCI학회:학술대회논문집
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    • 2006.02a
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    • pp.154-160
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    • 2006
  • 전반사 성분은 직접 투사형 증강현실 시스템들이 가지는 대표적인 문제점으로서, 사용자의 시점에 따라 유동적으로 변하면서 프로젝션된 정보의 가시도(visibility)을 심각하게 저해한다. 이러한 전반사 성분의 발생을 해결하기 위해 여러 대의 중첩된(overlapping) 프로젝터를 이용하는 방법이 최근 제안되었다. 그러나, 전반사 성분은 사용자의 시점 뿐만 아니라, 스크린의 재질의 반사 특성에도 크게 좌우되는데, 이에 대한 고려가 없었다. 본 논문에서는 스크린의 재질에 따른 반사 특성을 고려함으로써, 보다 정확하게 전반사 성분을 검출, 회피하는 방법을 제안한다. 제안된 방법을 기존의 방법과 비교함으로써, 제안된 방법의 성능을 검증한다. 또한, 프로젝터 간의 기하 보정의 오차나 광학적 특성의 차이를 보완하기 위한 알고리즘을 개발, 이용함으로써 양질의 합성 결과를 제공해 준다.

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Developing a Portable Intelligent Projection System (휴대형 지능형 프로젝션 시스템 개발)

  • Park, Han-Hoon;Seo, Byung-Kuk;Jin, Yoon-Jong;Oh, Ji-Hyun;Park, Jong-Il
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.44 no.4 s.316
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    • pp.26-34
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    • 2007
  • Intelligent projection system indicates a system that displays desired images on an arbitrary screen in an arbitrary environment using projector without noticeable image distortion. In recent years, projectors have become widespread and ubiquitous due to their increasing capabilities and declining cost. Moreover, the size of projectors is getting smaller and handhold projectors are emerging. Thanks to these advances, the demand for intelligent projection system has been significantly increased and the demand has led to remarkable progress of the related techniques or technologies to intelligent projection system However, there are still some environments (or conditions, mainly dynamic ones) that intelligent projections systems cannot handle and they have limited the application area of intelligent projection systems. This paper exemplifies such environments (e.g. specular screen, dynamic screen) and propose effective solutions (i.e. multiple overlapping projectors, complementary pattern embedding) for thor And the usefulness of the solutions is verified through experimental results and user evaluation. Notice that the environments are considered not simultaneously but independently because it is impossible to consider them simultaneously by simply combining the solutions for each. Acually, a totally different solution would be necessary to consider them simultaneously. Therefore, we expect that the proposed methods would largely extend the application area of intelligent projection systems except for severely arbitrary environment.

Quality Assessment of Images Projected Using Multiple Projectors

  • Kakli, Muhammad Umer;Qureshi, Hassaan Saadat;Khan, Muhammad Murtaza;Hafiz, Rehan;Cho, Yongju;Park, Unsang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.9 no.6
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    • pp.2230-2250
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    • 2015
  • Multiple projectors with partially overlapping regions can be used to project a seamless image on a large projection surface. With the advent of high-resolution photography, such systems are gaining popularity. Experts set up such projection systems by subjectively identifying the types of errors induced by the system in the projected images and rectifying them by optimizing (correcting) the parameters associated with the system. This requires substantial time and effort, thus making it difficult to set up such systems. Moreover, comparing the performance of different multi-projector display (MPD) systems becomes difficult because of the subjective nature of evaluation. In this work, we present a framework to quantitatively determine the quality of an MPD system and any image projected using such a system. We have divided the quality assessment into geometric and photometric qualities. For geometric quality assessment, we use Feature Similarity Index (FSIM) and distance-based Scale Invariant Feature Transform (SIFT). For photometric quality assessment, we propose to use a measure incorporating Spectral Angle Mapper (SAM), Intensity Magnitude Ratio (IMR) and Perceptual Color Difference (ΔE). We have tested the proposed framework and demonstrated that it provides an acceptable method for both quantitative evaluation of MPD systems and estimation of the perceptual quality of any image projected by them.