• Title/Summary/Keyword: Object Color

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Image-Quality Enhancement for a Holographic Wavefront Color Printer by Adaptive SLM Partitioning

  • Hong, Sunghee;Stoykova, Elena;Kang, Hoonjong;Kim, Youngmin;Hong, Jisoo;Park, Joosup;Park, Kiheon
    • Journal of the Optical Society of Korea
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    • v.19 no.1
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    • pp.29-37
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    • 2015
  • The wavefront printer records a volume-reflection hologram as a two-dimensional array of elemental holograms from computer-generated holograms (CGHs) displayed on a spatial light modulator (SLM). The wavefront coming from the object is extracted by filtering in the spatial-frequency domain. This paper presents a method to improve color reproduction in a wavefront printer with spatial division of exposures at primary colors, by adaptive partitioning of the SLM in accordance with the color content encoded in the input CGHs, and by the controllable change of exposure times for the recording of primary colors. The method is verified with a color wavefront printer with demagnification of the object beam. The quality of reconstruction achieved by the proposed method proves its efficiency in eliminating the stripe artifacts that are superimposed on reconstructed images in conventional mosaic recording.

Real-Time Tracking for Moving Object using Neural Networks (신경망을 이용한 이동성 칼라 물체의 실시간 추적)

  • Choi, Dong-Sun;Lee, Min-Jung;Choi, Young-Kiu
    • Proceedings of the KIEE Conference
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    • 2001.07d
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    • pp.2358-2361
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    • 2001
  • In recent years there have been increasing interests in real-time object tracking with image information. Since image information is affected by illumination, this paper presents the real-time object tracking method based on neural networks which have robust characteristics under various illuminations. This paper proposes three steps to track the object and the fast tracking method. In the first step the object color is extracted using neural networks. In the second step we detect the object feature information based on invariant moment. Finally the object is tracked through a shape recognition using neural networks. To achieve the fast tracking performance, this paper first has a global search of entire image and tracks the object through local search when the object is recognized.

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Real-Time Object Tracking and Segmentation Using Adaptive Color Snake Model

  • Seo Kap-Ho;Shin Jin-Ho;Kim Won;Lee Ju-Jang
    • International Journal of Control, Automation, and Systems
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    • v.4 no.2
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    • pp.236-246
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    • 2006
  • Motion tracking and object segmentation are the most fundamental and critical problems in vision tasks such as motion analysis. An active contour model, snake, was developed as a useful segmenting and tracking tool for rigid or non-rigid objects. In this paper, the development of new snake model called 'adaptive color snake model (ACSM)' for segmentation and tracking is introduced. The simple operation makes the algorithm runs in real-time. For robust tracking, the condensation algorithm was adopted to control the parameters of ACSM. The effectiveness of the ACSM is verified by appropriate simulations and experiments.

Color coding of MF(model failure) object using hybrid coding method in object based coding (객체기반 부호화에서 혼합형 부호화방식을 이용한 MF(Model Failure) 객체의 색신호 부호화)

  • 김동하;이지훈;고성제;이태원
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.34S no.5
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    • pp.45-51
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    • 1997
  • To trnsmit moving image signals by using an object vased coding technique at the rate of 8kbps~11kbps, it is very important to minimize the bit rates used for the compression of the color information of MF-objects. This paper proposes a hybrid coding method which uses the shpae adaptive coding method and the interframe reference method selectively. Gilge's shape adaptive orthogonal coidng method is utilized for shpae adaptive coding. The interfarame reference method approximates the low-passed signals of the image by gilge's shpae adaptive orthogonalization method and then refers the approximation error signals from the high frequency signal components of th eprevious frame. The proposed method achives the bit rates reduction of 17% compared to the gilge's shape adaptive orthogonalization method and 30% rduction compared to the shape adaptive DCT in average.

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An Art-Robot Expressing Emotion with Color Light and Behavior by Human-Object Interaction

  • Kwon, Yanghee;Kim, Sangwook
    • Journal of Multimedia Information System
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    • v.4 no.2
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    • pp.83-88
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    • 2017
  • The era of the fourth industrial revolution, which will bring about a great wave of change in the 21st century, is the age of super-connection that links humans to humans, objects to objects, and humans to objects. In the smart city and the smart space which are evolving further, emotional engineering is a field of interdisciplinary researches that still attract attention with the development of technology. This paper proposes an emotional object prototype as a possibility of emotional interaction in the relation between human and object. By suggesting emotional objects that produce color changes and movements through the emotional interactions between humans and objects against the current social issue-loneliness of modern people, we have approached the influence of our lives in the relation with objects. It is expected that emotional objects that are approached from the fundamental view will be able to be in our lives as a viable cultural intermediary in our future living space.

Object Tracking in Video Sequences using Local Block Features (지역적 영역 컬러 특징 정보를 이용한 이동물체 추적)

  • Moon Won, Choo;Seongah, Chin
    • Proceedings of the Korea Multimedia Society Conference
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    • 2002.05c
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    • pp.200-205
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    • 2002
  • In this paper, we propose an object tracking system which extracts moving areas+ shaped on objects in video sequences and decides tracks of moving objects. Color invariances are exploited to extract the plausible object blocks and the degree of radial homogeneity is utilized as local block feature to find out the block correspondences.

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Multiprimary displays for natural color reproduction

  • Yamaguchi, Masahiro
    • 한국정보디스플레이학회:학술대회논문집
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    • 2002.08a
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    • pp.999-1004
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    • 2002
  • This paper presents the color displays using more than three primary colors, for the reproduction of wider color gamut, and high-fidelity color reproduction. First, Natural Vision system, which is currently under development for the natural color reproduction in visual telecommunication applications, is introduced, The natural vision is based on spectrum instead of trichromatic color space, and enables high-fidelity color reproduction using multispectral and multiprimary technologies. Then, sixprimary color projection displays using LCD and DLP, and a four-primary color flat panel display are shown. It is experimentally demonstrated that the color gamut becomes much larger than conventional RGB-based display. In addition, it is proved that the spectral color reproduction using multiprimary display suppresses the influence of observer metamerism, and as a result, the color matching between the display and the real object is well improved.

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A Study on the Characteristics of Blur Color in Olafur Eliasson's Works (올라퍼 엘리아슨의 작품에 나타난 블러 색채 특성 연구)

  • Kim, Sun-Young
    • Korean Institute of Interior Design Journal
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    • v.21 no.3
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    • pp.87-94
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    • 2012
  • This thesis has purpose of explaining that blur color is not only appreciated but also undecided spacial color in contemporary space design and examining effects of space experience through the light. In keeping such developments, blur color has been perceived as the object of another tool in contemporary space and has provided us with new views by providing various program, sensor and screen from digital media. With the expansion of blur color, light has changed a spacial color structural that is not simple meaning factor into the essential concept. So this research aims to understand the principle of blur color in Olafur Eliasson's work, which of the fine artist in diverse fields from installation art to media art. The principle of blur color such as deconstruction of vanishing point, dimensional transfer, color gradation, and fiction of visual perception makes it possible to extract the expressed element and method of blur color. Meanwhile, the features of blur color such as sense of depth from viewpoint changes, hybrid from collapse of order, media metamorphosis from reconstitution and interaction from uncanny can be inferred from case analysis.

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An Epipolar Rectification for Object Segmentation (객체분할을 위한 에피폴라 Rectification)

  • Jeong, Seung-Do;Kang, Sung-Suk;CHo, Jung-Won;Choi, Byung-Uk
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.29 no.1C
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    • pp.83-91
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    • 2004
  • An epipolar rectification is the process of transforming the epipolar geometry of a pair of images into a canonical form. This is accomplished by applying a homography to each image that maps the epipole to a predetermined point. In this process, rectified images transformed by homographies must be satisfied with the epipolar constraint. These homographies are not unique, however, we find out homographies that are suited to system's purpose by means of an additive constraint. Since the rectified image pair be a stereo image pair, we are able to find the disparity efficiently. Therefore, we are able to estimate the three-dimensional information of objects within an image and apply this information to object segmentation. This paper proposes a rectification method for object segmentation and applies the rectification result to the object segmentation. Using color and relative continuity of disparity for the object segmentation, the drawbacks of previous segmentation method, which are that the object is segmented to several region because of having different color information or another object is merged into one because of having similar color information, are complemented. Experimental result shows that the disparity of result image of proposed rectification method have continuity about unique object. Therefore we have confirmed that our rectification method is suitable to the object segmentation.

Home Service of Robot by Color Classification (색상 구별에 의한 로봇의 홈 서비스)

  • 김성주;변정민;김용택;전홍태
    • Proceedings of the IEEK Conference
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    • 2002.06c
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    • pp.123-126
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    • 2002
  • Recently. the effort to make a robot alike human is increasing. The robot helps house work or make a service in restaurant is not a dream. In this paper, we studied home robot serves a beverage. Each 4 beverage has different color. (And robot can serve a drink to master with its color.) It can be applicable to other works need to recognize target object with color. Perhaps, This looks simple but it's idea can be a basis for more complex work.

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