• 제목/요약/키워드: color modeling

검색결과 248건 처리시간 0.026초

3D애니메이션을 활용한 수묵화기법 표현연구 (Research on the Expression of Ink-and-Wash Painting by using 3D Animation)

  • 한명희
    • 한국멀티미디어학회논문지
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    • 제13권7호
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    • pp.1105-1114
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    • 2010
  • 이 논문은 제13회 부산국제영화제(2008년10월2일부터10월10일까지 개최)조직위원회로부터 의뢰를 받아 필름으로 제작한 20초 분량의 공식트레일러 제작에 관한 연구결과를 요약한 것이다. 디지털콘텐츠 제작에서의 정체성과 방향성 확립이 필요한 시기에 한국적인 수묵채색화 기법을 3D Animation과 접목시켜 제 13회 부산국제영화제의 공식트레일러 제작에 활용하였다. 서양화가 신창식화백의 '아리랑_희망I(공식 포스터)를 모티브로 한국적인 수묵채색화의 특징을 고찰하여 모델링, 쉐이딩, 렌더링 단계에서 먹의 농담, 선의 강약, 수묵채색화의 색채요소를 디지털기법으로 어떻게 표현할 수 있는가에 대한연구결과 이다.

INTEGRATED OPTICAL MODEL FOR STRAY LIGHT SUPPRESSION AND END-TO-END PERFORMANCE SIMULATION FOR GOCI

  • Ham, Sun-Jeong;Lee, Jae-Min;Youn, Heong-Sik;Kang, Gm-Sil;Kim, Seong-Hui;Kim, Sug-Whan
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume I
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    • pp.274-277
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    • 2006
  • KARI is currently developing a geostationary ocean color imager (GOCI) for COMS. We report the progress in integrated optical modeling and analysis for stray light suppression and the end-to-end instrument performance verification including in-orbit calibration. The Sun is modeled as the emitting light source and the selected area around Korean peninsular as the observation target that scatters the sun light towards GOCI in orbit. The optical ray tracing employing active geometric scaling was then used for precise characterization of the spatial and radiometric performance at the instrument focal plane. The analysis results show positive reduction in the simulated stray light level with the design improvement including baffles. It also indicates that the ray traced in-orbit radiometric performances are effective tools for the independent assessment of more traditional linear and quadratic equation based estimation of water leaving radiance. The concept of integrated GOCI optical model and the computational method are presented.

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Spatial augmented reality for product appearance design evaluation

  • Park, Min Ki;Lim, Kyu Je;Seo, Myoung Kook;Jung, Soon Jong;Lee, Kwan H.
    • Journal of Computational Design and Engineering
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    • 제2권1호
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    • pp.38-46
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    • 2015
  • Augmented reality based on projection, called "Spatial Augmented Reality (SAR)", is a new technology that can produce immersive contents by overlapping virtuality and real-world environment. It has been paid attention as the next generation digital contents in media art and human-computer interaction (HCI). In this paper, we present a new methodology to evaluate the product appearance design more intuitively by means of SAR technique. The proposed method first projects the high-quality rendered image considering the optical property of materials onto the mock-up of a product. We also conduct a projector-camera calibration to compensate a color distortion according to a projector, a projection surface and environment lighting. The design evaluation methodology we propose offers more flexible and intuitive evaluation environment to a designer and user (evaluator) than previous methods that are performed via a digital display. At the end of this research, we have conducted a case study for designing and evaluating appearance design of an automobile.

Gaussian 혼합모델을 이용한 영상기반 화재검출 알고리즘 (Video Based Fire Detection Algorithm using Gaussian Mixture Model)

  • 박장식;김현태;유윤식
    • 한국전자통신학회논문지
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    • 제6권2호
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    • pp.206-211
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    • 2011
  • 본 논문에서는 Gaussian 혼합모델을 이용한 영상기반 화재검출 알고리즘을 제안한다. CCTV로부터 입력되는 영상으로부터 배경영상을 추출한 후 입력영상과 배경영상간의 차신호로부터 전경영상을 분리한다. 분리된 전경영상은 배경영상에 대하여 변화가 생긴 후보영역으로 간주하고 후보영역에 대하여 Gaussian 혼합모델 기법을 적용하여 연기 또는 화염의 특성을 갖는 영역을 화재로 인식한다. 실험 결과를 통하여 제안하는 화재검출 알고리즘이 실내에서의 화염 및 연기를 검출할 수 있음을 보인다.

Image Based 3D Reconstruction of Texture-less Objects for VR Contents

  • Hafeez, Jahanzeb;Lee, Seunghyun;Kwon, Soonchul;Hamacher, Alaric
    • International journal of advanced smart convergence
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    • 제6권1호
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    • pp.9-17
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    • 2017
  • Recent development in virtual and augmented reality increases the demand for content in many different fields. One of the fast ways to create content for VR is 3D modeling of real objects. In this paper we propose a system to reconstruct three-dimensional models of real objects from the set of two-dimensional images under the assumption that the subject does not has distinct features. We explicitly consider an object that is made of one or more surfaces and radiant constant energy isotropically. We design a low cost portable multi camera rig system that is capable of capturing images simultaneously from all cameras. In order to evaluate the performance of the proposed system, comparison is made between 3D model and a CAD model. A simple algorithm is also proposed to acquire original texture or color of the subject. Using best pattern found after the experiments, 3D model of the Pyeongchang Olympic Mascot "Soohorang" is created to use as VR content.

다중 디지털 사진을 이용한 3차원 이미지 모델 생성 (Generation of 3 Dimensional Image Model from Multiple Digital Photographs)

  • 정태은;석정민;신효철;류재평
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2003년도 춘계학술대회 논문집
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    • pp.1634-1637
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    • 2003
  • Any given object on the motor-driven turntable is pictured from 8 to 72 different views with a digital camera. 3D shape reconstruction is performed with the integrated software called by Scanware from these multiple digital photographs. There are several steps such as configuration, calibration, capturing, segmentation, shape creation, texturing and merging process during the shape reconstruction process. 3D geometry data can be exported to cad data such as Autocad input file. Also 3D image model is generated from 3D geometry and texture data, and is used to advertise the model in the internet environment. Consumers can see the object realistically from wanted views by rotating or zooming in the internet browsers with Scanbull spx plug-in. The spx format allows a compact saving of 3D objects to handle or download. There are many types of scan equipments such as laser scanners and photogrammetric scanners. Line or point scan methods by laser can generate precise 3D geometry but cannot obtain color textures in general. Reversely, 3D image modeling with photogrammetry can generate not only geometries but also textures from associated polygons. We got various 3D image models and introduced the process of getting 3D image model of an internet-connected watchdog robot.

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소형 전기자동차의 감성 이미지 도출 및 모델링에의 적용 (An Application on Modeling and Image Design of MEVs using Human Sensibility)

  • 강재철;이수봉;이동춘
    • 디자인학연구
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    • 제13권2호
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    • pp.7-13
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    • 2000
  • 자동차 특성에 대한 소비자의 감성을 자세하게 조사하여 자동차 설계 시에 적용시키는 것은 매우 중요하다. 제품 디자인에는 기능, 품질, 외형 등의 주요요인 들이 있으며, 그 중에서 외형에서 느껴지는 색감, 재질감, 형태감 등 소위 디자인 적 요인에 의한 이미지가 판매에 큰 영향을 주고 있다. 이러한 점에서 현대의 상품개발이 성공하기 위한 관건은 그 제품의 디자인에 있다고 해도 과언이 아닐 것이다. 그러므로 산업디자이너들은 소비자들이 제품을 실제 사용하는 데 관한 기능적인 문제와 연관지어 조형적인 측면을 고려하고 있다. 이와 같은 관점에서 본 연구의 목적은 소형 전기자동차의 외형을 디자인함에 있어서 인간의 니즈(Needs)를 객관적으로 감성 평가하여 구매자의 감성요구에 적합한 소형 전기자동차를 디자인하는데 두었다.

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배기가스 저감을 위한 연소진단 시스템의 개발 (Development of Combustion Diagnostic System for Reducing the Exhausting Gas)

  • 이태영
    • 한국산업융합학회 논문집
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    • 제4권4호
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    • pp.403-411
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    • 2001
  • A criterion for evaluation of burners has changed recently, and the environmental problems are raised as a global issue. Burners with higher thermal efficiency and lower oxygen in the exhaust gas, evaluated better. To comply with environmental regulations, burners must satisfy the $NO_x$ and CO regulation. Consequently. 'good burner' means one whose thermal efficiency is high under the constraint of $NO_x$ and CO consistency. To make existing burner satisfy recent criterion, it is highly recommended to develop a feedback control scheme whose output is the consistency of $NO_x$ and CO. This paper describes the development of a real time flame diagnosis technique that evaluate and diagnose the combustion states, such as consistency of components in exhaust gas, stability of flame in the quantitative sense. In this paper, it was proposed on the flame diagnosis technique of burner using Neuro- Fuzzy algorithm. This study focuses on the relation of the color of the flame and the state of combustion. Neuro- Fuzzy learning algorithm is used in obtaining the fuzzy membership function and rules. Using the constructed inference algorithm, the amount of $NO_x$ and CO of the combustion gas was successfully inferred.

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유통업체 의류 상표에 대한 소비자 태도 형성 (Consumer Attitude Formation on Private Apparel Brand)

  • 최미영;이은영
    • 한국의류학회지
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    • 제30권8호
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    • pp.1210-1221
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    • 2006
  • The strength of the PB(Private Brand) is that it can eliminate intermediary in the distribution channel and thoroughly control the quality under its own name. This study has developed traditional studies on private brand proneness in approaching data processing and empirical point of view of a consumer's attitude buildup process on PB through 'recognition-attitude-action(behavioral attitude)'. The subjects of this study are consumers in their $20s{\sim}40s$ who are main customer groups of PBs. A screening process has taken place to select consumers with purchasing experiences of retailor PBs. The data is analyzed by 'Structural Equation Modeling' of Amos 5.0 to verify consumer attitude formation model on private apparel brand. The results generated from this study are as follows: First, the proposed consumer attitude model on private apparel brand consists of store evaluation, experiential product evaluation, cognitive product evaluation, hedonic attitude, utilitarian attitude and purchase intention. Second, not only positively influence on utilitarian attitude but hedonic attitude can arouse positive emotional reaction of a consumer. Third, the store evaluation is ahead of the product evaluation because PB is more related to the image of a store. The influence of the store on PB is relatively stronger when compared with NB.

유사한 색상을 지닌 다수의 이동 물체 영역 분류 및 식별과 추적 (Area Classification, Identification and Tracking for Multiple Moving Objects with the Similar Colors)

  • 이정식;주영훈
    • 전기학회논문지
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    • 제65권3호
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    • pp.477-486
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    • 2016
  • This paper presents the area classification, identification, and tracking for multiple moving objects with the similar colors. To do this, first, we use the GMM(Gaussian Mixture Model)-based background modeling method to detect the moving objects. Second, we propose the use of the binary and morphology of image in order to eliminate the shadow and noise in case of detection of the moving object. Third, we recognize ROI(region of interest) of the moving object through labeling method. And, we propose the area classification method to remove the background from the detected moving objects and the novel method for identifying the classified moving area. Also, we propose the method for tracking the identified moving object using Kalman filter. To the end, we propose the effective tracking method when detecting the multiple objects with the similar colors. Finally, we demonstrate the feasibility and applicability of the proposed algorithms through some experiments.