• Title/Summary/Keyword: Component Map

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Visible and NIR Image Synthesis Using Laplacian Pyramid and Principal Component Analysis (라플라시안 피라미드와 주성분 분석을 이용한 가시광과 적외선 영상 합성)

  • Son, Dong-Min;Kwon, Hyuk-Ju;Lee, Sung-Hak
    • Journal of Sensor Science and Technology
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    • v.29 no.2
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    • pp.133-140
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    • 2020
  • This study proposes a method of blending visible and near infrared images to enhance edge details and local contrast. The proposed method consists of radiance map generation and color compensation. The radiance map is produced by a Laplacian pyramid and a soft mixing method based on principal component analysis. The color compensation method uses the ratio between the composed radiance map and the luminance channel of a visible image to preserve the visible image chrominance. The proposed method has better edge details compared to a conventional visible and NIR image blending method.

Disparity Refinement near the Object Boundaries for Virtual-View Quality Enhancement

  • Lee, Gyu-cheol;Yoo, Jisang
    • Journal of Electrical Engineering and Technology
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    • v.10 no.5
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    • pp.2189-2196
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    • 2015
  • Stereo matching algorithm is usually used to obtain a disparity map from a pair of images. However, the disparity map obtained by using stereo matching contains lots of noise and error regions. In this paper, we propose a virtual-view synthesis algorithm using disparity refinement in order to improve the quality of the synthesized image. First, the error region is detected by examining the consistency of the disparity maps. Then, motion information is acquired by applying optical flow to texture component of the image in order to improve the performance. Then, the occlusion region is found using optical flow on the texture component of the image in order to improve the performance of the optical flow. The refined disparity map is finally used for the synthesis of the virtual view image. The experimental results show that the proposed algorithm improves the quality of the generated virtual-view.

Implementation of saliency map model using independent component analysis (독립성분해석을 이용한 Saliency map 모델 구현)

  • Sohn, Jun-Il;Lee, Min-Ho;Shin, Jang-Kyoo
    • Journal of Sensor Science and Technology
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    • v.10 no.5
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    • pp.286-291
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    • 2001
  • We propose a new saliency map model for selecting an attended location in an arbitrary visual scene, which is one of the most important characteristics of human vision system. In selecting an attended location, an edge information can be considered as a feature basis to construct the saliency map. Edge filters are obtained from the independent component analysis(ICA) that is the best way to find independent edges in natural gray scenes. In order to reflect the non-uniform density in our retina, we use a multi-scaled pyramid input image instead of using an original input image. Computer simulation results show that the proposed saliency map model with multi-scale property successfully generates the plausible attended locations.

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Land Cover Classification Map of Northeast Asia Using GOCI Data

  • Son, Sanghun;Kim, Jinsoo
    • Korean Journal of Remote Sensing
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    • v.35 no.1
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    • pp.83-92
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    • 2019
  • Land cover (LC) is an important factor in socioeconomic and environmental studies. According to various studies, a number of LC maps, including global land cover (GLC) datasets, are made using polar orbit satellite data. Due to the insufficiencies of reference datasets in Northeast Asia, several LC maps display discrepancies in that region. In this paper, we performed a feasibility assessment of LC mapping using Geostationary Ocean Color Imager (GOCI) data over Northeast Asia. To produce the LC map, the GOCI normalized difference vegetation index (NDVI) was used as an input dataset and a level-2 LC map of South Korea was used as a reference dataset to evaluate the LC map. In this paper, 7 LC types(urban, croplands, forest, grasslands, wetlands, barren, and water) were defined to reflect Northeast Asian LC. The LC map was produced via principal component analysis (PCA) with K-means clustering, and a sensitivity analysis was performed. The overall accuracy was calculated to be 77.94%. Furthermore, to assess the accuracy of the LC map not only in South Korea but also in Northeast Asia, 6 GLC datasets (IGBP, UMD, GLC2000, GlobCover2009, MCD12Q1, GlobeLand30) were used as comparison datasets. The accuracy scores for the 6 GLC datasets were calculated to be 59.41%, 56.82%, 60.97%, 51.71%, 70.24%, and 72.80%, respectively. Therefore, the first attempt to produce the LC map using geostationary satellite data is considered to be acceptable.

A Study on Smartphone Evacuation Guidance Map Criteria through Analysis of Decision-making Time (의사결정시간 분석을 통한 스마트폰 피난안내도 구성요소별 작성기준에 관한 연구)

  • Jeon, Eun-Goo;Bae, Young-Hoon;Jee, Ho-Joon;Son, Jong-Yeong;Park, Joongoo;Hong, Won-Hwa
    • Fire Science and Engineering
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    • v.33 no.5
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    • pp.86-93
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    • 2019
  • Previous studies related to evacuation guidance systems are focused on the system construction, and research on manual of the standard evacuation map is insufficient. Therefore, this research is a basic study to establish the standard evacuation map, and analyzed the decision-making time according to the type and size for each component of the evacuation map. Experimental elements were derived through the review of previous studies and legal regulations. After that, decision-making time was analyzed according to the type and size of the component display method. An experiment was conducted to analyze the decision-making time according to the type and size of the component display method. Afterwards, through the statistical test, the evacuation map guidelines for smartphones were proposed.

Development of a 3D Object Recognition Component for OPRoS (OPRoS를 위한 3차원 물체 인식 컴포넌트 개발)

  • Han, Chang-Ho;Oh, Choon-Suk
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.11 no.3
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    • pp.83-91
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    • 2011
  • Recently, many researchers in the world are concentrated to develop the robot platform which is to reduce the developing cost by reusing existing softwares. In this paper, we describe that the 3 dimension recognition object components for OPRoS (Open Platform for Robotic Services) which is developed in Korea. We present that the structure of the component, disparity map and depth map algorithm for recognizing 3 dimension space. We used stereo matching and block matching method to produce the disparity map. We test the component on the computer with OPRoS platform and show the results of accuracy and performance time.

Stereoscopic Video Coding Using MPEG-4 Multiple Auxiliary Component (MPEG-4 MAC(Multiple Auxiliary Component) 기반 스테레오스코픽 비디오 부호화)

  • 조숙희;윤국진;안충현
    • Proceedings of the IEEK Conference
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    • 2003.11a
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    • pp.167-170
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    • 2003
  • We propose stereoscopic video coding method using the syntax of MAC(Multiple auxiliary component) that was added to the MPEC-4 visual version 2 in order to describe the transparency of the video object. We also define the novel MAC's semantics in MPEG-4 that should support the proposed coding method. The major difference between the existing coding method and the proposed coding method is the addition of the residual texture coding. The proposed coding method assigns disparity map and residual texture to 3 components of MAC: one component for disparity map and the rest 2 components fer the luminance and chrominance data of the residual texture, respectively. The performance of the proposed method is evaluated in terms of PSNR by computer simulations.

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Design and Implementation of Application Service Component for Reuse in Local Government's GIS (지방자치단체 지리정보시스템에서 재사용을 위한 응용 서비스 컴포넌트의 설계 및 구현)

  • Kim, Kwang-Soo;Cho, Dae-Soo;Kim, Do-Hyun;Choi, Hae-Ock
    • Journal of Korea Spatial Information System Society
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    • v.3 no.1 s.5
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    • pp.75-87
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    • 2001
  • The advantages of using components result from their reusability between applications. Applications can be easily implemented by adding components. In this paper, we described the design and implementation process of ASC(Application Service Component) for component-based GIS applications. In our project, there are 5 applications : Road Facility Management, Urban Planning, Cadastral Map Management, Water Supply Management, and Sewerage Management. All of them use MapBase component which supports common GIS functionality. Although they are different applications, some parts of them are same. We analyzed the developed results in 1st and 2nd year, and the achievement of UIS(Urban Information System) project in Busan Metro City in Korea. The UIS of Busan was consisted of 5 applications to equal with our project. Then, we extracted 11 common used components between 5 applications, and implemented 5 common components of them and 2 additional components. They were Authority, GISReport, IndexMap, Measurement, Search, Symbol Manager, and Attribute Display. As we offered them to companies developing application components, they were able to reduce the development time.

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Face Detection Based on Distribution Map (분포맵에 기반한 얼굴 영역 검출)

  • Cho Han-Soo
    • Journal of Korea Multimedia Society
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    • v.9 no.1
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    • pp.11-22
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    • 2006
  • Recently face detection has actively been researched due to its wide range of applications, such as personal identification and security systems. In this paper, a new face detection method based on the distribution map is proposed. Face-like regions are first extracted by applying the skin color map with the frequency to a color image and then, possible eye regions are determined by using the pupil color distribution map within the face-like regions. This enables the reduction of space for finding facial features. Eye candidates are detected by means of a template matching method using weighted window, which utilizes the correlation values of the luminance component and chrominance components as feature vectors. Finally, a cost function for mouth detection and location information between the facial features are applied to each pair of the eye candidates for face detection. Experimental results show that the proposed method can achieve a high performance.

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A Study of Inverse Modeling from Micro Gas Turbine Experimental Test Data (소형 가스터빈 엔진 실험 데이터를 이용한 역모델링 연구)

  • Kong, Chang-Duk;Lim, Se-Myeong
    • Journal of the Korean Society of Propulsion Engineers
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    • v.13 no.6
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    • pp.1-7
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    • 2009
  • The gas turbine engine performance is greatly relied on its component performance characteristics. Generally, acquisition of component maps is not easy for engine purchasers because it is an expensive intellectual property of gas turbine engine supplier. In the previous work, the maps were inversely generated from engine performance deck data, but this method is limited to obtain the realistic maps due to calculated performance deck data. Therefore this work proposes newly to generate more realistic compressor map from experimental performance test data. And then a realistic compressor map can be generated form those processed data using the proposed extended scaling method at each rotational speed. Evaluation can be made through comparison between performance analysis results using the performance simulation program including the generated compressor map and on-condition monitoring performance data.