• ETRI Journal
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• 제34권3호
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• pp.399-409
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• 2012

In this paper, we propose a new color histogram model for object tracking. The proposed model incorporates the color arrangement of the target that encodes the relative spatial distribution of the colors inside the object. Using the color arrangement, we can determine which color bin is more reliable for tracking. Based on the proposed color histogram model, we derive a mean shift framework using a modified Bhattacharyya distance. In addition, we present a method of updating an object scale and a target model to cope with changes in the target appearance. Unlike conventional mean shift based methods, our algorithm produces satisfactory results even when the object being tracked shares similar colors with the background.

• 한국정보통신학회논문지
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• 제19권8호
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• pp.1859-1866
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• 2015

본 논문은 파우더 메이크업 효과를 시뮬레이션 하는 새로운 방법을 제안한다. 간단하면서도 사실적인 색상을 표현할 수 있는 색상 발현 모델을 고안하고, 여러 색상의 인조스킨에 파우더를 도포한 사진 이미지 분석에 색상모델을 적용하여 파우더 고유의 투과색 및 도포 두께를 추출하였다. 또한, 실제 사람 피부에 도포된 파우더 도포 두께 패턴을 추출하고 이를 다른 사람의 사진 상에서 메이크업 시뮬레이션 하는 데 사용하여 파우더의 질감을 실감 있게 표현하였다. 실험 결과 제안된 메이크업 시뮬레이션은 사실적인 색감과 질감을 나타낸 것으로 평가되었으며, 파우더 색상을 가상으로 테스트 하는 데 사용할 수 있을 것으로 기대한다.

• 한국인쇄학회지
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• 제23권1호
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• pp.1-11
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• 2005

The propose of this study investigated the reproduction of color image on a CRT monitor, for a range of different values of monitor gamma. We have used the GOG(gain-offset-gamma) model of the behavior of CRT. Color difference have been computed in a color space, based on the CIELAB color appearance model. The 133 patch defined linearly color sample and 24 patch defined printing color target were used, and were subjected to the influence of nine different gamma value. The result shows that netural color is increasing the decrease range of luminance black color than white color. These results concern correct in the context display of color reproduction.

• 한국인쇄학회지
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• 제23권2호
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• pp.45-58
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• 2005

The propose of this study investigated the reproduction of color image displayed on a CRT monitor, for a range of different values of monitor gamma. We have used the GOG(gain-offset-gamma) model of the behavior of the CRT. Color difference have been computed in a color space, based on the CIELAB color appearance model. The 133 patch defined linearly color sample and 24 patch defined printing color target were used, and were subjected to the influence of nine different gamma value. The result show that neutral color is increasing the decrease range of luminance black color than white color. These results are of concern in the context of the "correct" display of color reproduction.

• ETRI Journal
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• 제41권4호
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• pp.483-493
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• 2019

Considering the high dimensions of video sequences, it is often challenging to acquire a sufficient dataset to train the tracking models. From this perspective, we propose to revisit the idea of hand-crafted feature learning to avoid such a requirement from a dataset. The proposed tracking approach is composed of two phases, detection and tracking, according to how severely the appearance of a target changes. The detection phase addresses severe and rapid variations by learning a new appearance model that classifies the pixels into foreground (or target) and background. We further combine the raw pixel features of the color intensity and spatial location with convolutional feature activations for robust target representation. The tracking phase tracks a target by searching for frame regions where the best pixel-level agreement to the model learned from the detection phase is achieved. Our two-phase approach results in efficient and accurate tracking, outperforming recent methods in various challenging cases of target appearance changes.

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송∙미디어공학회 2016년도 하계학술대회
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• pp.260-263
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• 2016

Recently high dynamic range imaging technique is hot issue in computer graphic area. We present a progressive tone mapping algorithm, which is based on weighted least squares optimization framework. Our approach combines weighted leastsquaresfiltering with iCAM06, for showing more perceptual high dynamic range images in conventional display, while avoiding visual halo artifacts. We decompose high dynamic range image into base layer and detail layer. The base layer has large scale variation, it is obtained by using weighted least squares filtering, and then the base layer incorporates iCAM06 model. Then, adaptive compression on the base layer according to human visual system. Only the base layer reduces contrast, and preserving detail. The resultshows more perceptual color appearance and preserve fine detail, while avoiding common artifacts.

• 한국정보통신학회논문지
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• 제11권11호
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• pp.2179-2184
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• 2007

본 논문에서는 인간과 환경사이의 물리적 또는 심리적 인터액션을 통한 인간중심의 적절한 서비스를 제공하는 공간지능화(iSpace: Intelligent Space) 구현하고자 네트웍 센서 인식공간을 소개하고 있다. 영상 데이터 처리 및 정보 네트웍 기능을 갖는 다수의 컬러 CCD 카메라를 iSpace 공간에 분산 배치하였다. iSpace내의 정보획득을 위한 네트웍 센서를 분산 지능형 네트웍 디바이스(DIND: Distributed Intelligent Network Devices)라고 명명하고 있으며, 각 DIND는 일종의 클라이언트 역할을 수행하도록 하였으며, DIND는 카메라 센서를 이용하는 이른바 카메라 네트워크를 구성한 것으로 이를 통해 실내 환경을 인식하고 모델링 하며 공간 내 거주자의 의도를 인식하기 위한 시스템을 구축하였다.

• 한국인쇄학회:학술대회논문집
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• 한국인쇄학회 2000년도 춘계 학술발표회 논문집
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• pp.35-44
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• 2000

Because Image on the CRT change under different illuminants, human is difficult to see original color of object. If what is information of used illuminant on capturing object know, image can be transformed according to viewing condition using the linear matrix method. To know information of used illuminant at an image, the spectral radiance of illuminant can be estimated using the linear model of Maloney and Wandell form an image. And then image can be properly transformed it using color appearance model. In this paper, we predict the spectral radiance of illuminant using spectral power distribution of specular light and using surface spectral reflectance at maximum gray area. and then we perform visual experiments for the corresponding color reproduction according to viewing condition. In results, we ensure that the spectral radiance of illuminant at an image can be well estimated using above algorithms and that human visual system is 70% adapted to the monitor's white point and 30% to ambient light when viewing softcopy images.

• 한국식생활문화학회지
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• 제29권6호
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• pp.623-636
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• 2014

This study was performed to determine the optimal composition of muffins added with dropwort powder, egg and sugar. The experiment was designed based on BBD (Box-behnken design), and evaluation was carried out by means of RSM (response surface methodology), consisting of 13 experimental points with three replicates each for three independent variables dropwort powder, eggs and sugar. Using F-test, height, moisture, 1,1-diphenyl-2picriylhydrazyl (DPPH) radical scavenging activity, L-value, a-value, springiness, cohesiveness, chewiness, brittleness, color, and appearance acceptability were expressed as a linear model, whereas pH, b-value, flavor, taste, and texture were expressed as a quadratic model. After swallow and overall acceptability were expressed as a 2FI model. As dropwort powder content increased, 1,1-diphenyl-2picriylhydrazyl (DPPH) radical scavenging activity increased. Increasing amounts of dropwort powder led to reduction of sensory scores for color, appearance, flavor, taste, and texture quality. The optimum formulation determined by the numerical and graphical methods were similar: dropwort powder 6 g, egg 77 g, and sugar 60 g.

• 한국지능시스템학회논문지
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• 제18권2호
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• pp.187-192
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• 2008

본 논문은 실내외 공간에서 인간을 포한함 이동물체의 영상정보를 이용하여 이동로봇의 자기위치를 인식하기 위한 방법을 제시하고 있다. 제시한 방법은 로봇자체의 DR센서 정보와 카메라에서 얻은 영상정보로부터 로봇의 위치추정방법을 결합한 것이다. 그리고 이동물체의 이전 위치정보와 관측 카메라의 모델을 사용하여 이동물체에 대한 영상프레임 좌표와 추정된 로봇위치간의 관계를 표현할 수 있는 식을 제시하고 있다. 또한 이동하는 인간과 로봇의 위치와 방향을 추정하기 위한 제어방법을 제시하고 이동로봇의 위치를 추정하기 위해서 칼만필터 방법을 적용하였다. 그리고 시뮬레이션 및 실험을 통하여 제시한 방법을 검증하였다.