• 제목/요약/키워드: Processing Map

검색결과 1,462건 처리시간 0.03초

Effects of Depth Map Quantization for Computer-Generated Multiview Images using Depth Image-Based Rendering

  • Kim, Min-Young;Cho, Yong-Joo;Choo, Hyon-Gon;Kim, Jin-Woong;Park, Kyoung-Shin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제5권11호
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    • pp.2175-2190
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    • 2011
  • This paper presents the effects of depth map quantization for multiview intermediate image generation using depth image-based rendering (DIBR). DIBR synthesizes multiple virtual views of a 3D scene from a 2D image and its associated depth map. However, it needs precise depth information in order to generate reliable and accurate intermediate view images for use in multiview 3D display systems. Previous work has extensively studied the pre-processing of the depth map, but little is known about depth map quantization. In this paper, we conduct an experiment to estimate the depth map quantization that affords acceptable image quality to generate DIBR-based multiview intermediate images. The experiment uses computer-generated 3D scenes, in which the multiview images captured directly from the scene are compared to the multiview intermediate images constructed by DIBR with a number of quantized depth maps. The results showed that there was no significant effect on depth map quantization from 16-bit to 7-bit (and more specifically 96-scale) on DIBR. Hence, a depth map above 7-bit is needed to maintain sufficient image quality for a DIBR-based multiview 3D system.

MRSPAKE : Hadoop MapReduce를 이용한 웹 규모의 공간 지식 추출기 (MRSPAKE : A Web-Scale Spatial Knowledge Extractor Using Hadoop MapReduce)

  • 이석준;김인철
    • 정보처리학회논문지:소프트웨어 및 데이터공학
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    • 제5권11호
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    • pp.569-584
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    • 2016
  • 본 논문에서는 Hadoop MapReduce 병렬 분산 컴퓨팅 환경을 이용해 개발한 공간 지식 추출기를 제안한다. 이 공간 지식 추출기는 대용량의 공간 데이터 집합으로부터, 임의의 두 공간 객체들 사이에 만족되는 위상 관계와 방향 관계를 나타내는 정성 공간 지식 베이스를 생성해낸다. 본 논문에서 제안하는 MapReduce 기반의 대용량 공간 지식 추출기 MRSPAKE는 HDFS 상의 분산 공간 데이터 파일에 대한 R 트리 색인과 범위 질의들을 이용함으로써, 웹 규모의 정성 공간 지식 베이스를 매우 효율적으로 추출해낸다. 대표적인 공개 데이터 집합인 Open Street Map(OSM)을 이용한 성능 분석 실험을 통해, 본 논문에서 제안하는 웹 규모의 공간 지식 추출기 MRSPAKE의 높은 성능과 확장성을 확인할 수 있었다.

Performance Analysis of the Clutter Map CFAR Detector with Noncoherent Integration

  • Kim, Chang-Joo;Lee, Hyuck-Jae
    • ETRI Journal
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    • 제15권2호
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    • pp.1-9
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    • 1993
  • Nitzberg has analyzed the detection performance of the clutter map constant false alarm rate (CFAR) detector using single pulse. In this paper, we extend the detection analysis to the clutter map CFAR detector that employs M-pulse noncoherent integration. Detection and false alarm probabilities for Swerling target models are derived. The analytical results show that the larger the number of integrated pulses M, the higher the detection probability. On the other hand, the analytical results for Swerling target models show that the detection performance of the completely decorrelated target signal is better than that of the completely correlated target.

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스펙트럼 해석방법에 의한 다중찬넬 뇌파의 Topographic Brain Map (Topographic Brain Map of Multi-Channel EEG by Spectrum Analysis Method)

  • 유선국;고한우
    • 대한의용생체공학회:의공학회지
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    • 제9권1호
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    • pp.31-36
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    • 1988
  • A personal computer-based brain map is described which will display a gray scale maps showing the distribution of signals derived from the electrical activity of the brain such as EEG or EP This topographic brain mapping system has a flexibility which describe the electrode number and placement mapping onto any shaped space and generate a brain maps by incoorporated the data acquisition and processing software with conventional EEG machine.

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스테레오 비젼 시스템을 이용한 자율 이동 로봇의 지도 작성에 관한 연구 (A study on map generation of autonomous Mobile Robot using stereo vision system)

  • 손영섭;이쾌희
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1998년도 하계학술대회 논문집 G
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    • pp.2200-2202
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    • 1998
  • Autonomous mobile robot provide many functions such as sensing, processing, and driving. For more intelligent jobs, more intelligent functions are to be added and the existing functions may be updated. To execute a job autonomous mobile robot has a information of surrounding environment. So, robot uses sonar sensor, vision sensor and so on. Obtained sensor information is used map generation. This paper is focused on map generation using stereo vision system.

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변형지도 모델링을 통한 구리 분말 소결체의 고온 변형에 따른 미세조직 연구 (Microstructural Evolution during Hot Deformation of P/M Copper using Processing Map)

  • 장수호;김영무;박경채
    • 한국분말재료학회지
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    • 제19권2호
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    • pp.134-139
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    • 2012
  • P/M coppers are subjected to the isothermal compression tests at the strain rate ranging from 0.01 to 10.0 $s^{-1}$ and the temperature from 200 to $800^{\circ}C$. The processing map reveals the dynamic recrystallization (DRX) domain in the following temperature and strain rate ranges: $600-800^{\circ}C$ and 0.01-10.0 $s^{-1}$, respectively. In the domain, the region at temperature of $600^{\circ}C$ and strain rate of $10^{-2}s^{-1}$ shows peak efficiency. From the kinetic analysis, the apparent activation energy in the DRX domain is 190.67 kJ/mol and it suggests that lattice self-diffusion is the rate controlling mechanism.

GPU를 이용한 Gabor Texture 특징점 기반의 금속 패드 변색 분류 알고리즘 (Discolored Metal Pad Image Classification Based on Gabor Texture Features Using GPU)

  • 최학남;박은수;김준철;김학일
    • 제어로봇시스템학회논문지
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    • 제15권8호
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    • pp.778-785
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    • 2009
  • This paper presents a Gabor texture feature extraction method for classification of discolored Metal pad images using GPU(Graphics Processing Unit). The proposed algorithm extracts the texture information using Gabor filters and constructs a pattern map using the extracted information. Finally, the golden pad images are classified by utilizing the feature vectors which are extracted from the constructed pattern map. In order to evaluate the performance of the Gabor texture feature extraction algorithm based on GPU, a sequential processing and parallel processing using OpenMP in CPU of this algorithm were adopted. Also, the proposed algorithm was implemented by using Global memory and Shared memory in GPU. The experimental results were demonstrated that the method using Shared memory in GPU provides the best performance. For evaluating the effectiveness of extracted Gabor texture features, an experimental validation has been conducted on a database of 20 Metal pad images and the experiment has shown no mis-classification.

A Design of DBaaS-Based Collaboration System for Big Data Processing

  • Jung, Yean-Woo;Lee, Jong-Yong;Jung, Kye-Dong
    • International journal of advanced smart convergence
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    • 제5권2호
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    • pp.59-65
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    • 2016
  • With the recent growth in cloud computing, big data processing and collaboration between businesses are emerging as new paradigms in the IT industry. In an environment where a large amount of data is generated in real time, such as SNS, big data processing techniques are useful in extracting the valid data. MapReduce is a good example of such a programming model used in big data extraction. With the growing collaboration between companies, problems of duplication and heterogeneity among data due to the integration of old and new information storage systems have arisen. These problems arise because of the differences in existing databases across the various companies. However, these problems can be negated by implementing the MapReduce technique. This paper proposes a collaboration system based on Database as a Service, or DBaaS, to solve problems in data integration for collaboration between companies. The proposed system can reduce the overhead in data integration, while being applied to structured and unstructured data.

자동차 휠용 6061 Al합금의 고온변형거동에 따른 단조성형조건 설계 (Forging Process Design by High Temperature Deformation Behavior of the 6061 Aluminum Alloy)

  • 이동근;이지혜;김정한;박노광;이용태;정헌수
    • 대한금속재료학회지
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    • 제46권7호
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    • pp.449-457
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    • 2008
  • Compression deformation behaviors at high temperature as a function of temperature and strain rate were investigated in the 6061 aluminum alloy, which is used for automobile wheel. Compression tests were carried out in the range of temperatures $300{\sim}475^{\circ}C$ and strain rate $10^{-3}{\sim}10^{-1}sec^{-1}$. By analyzing these results, strain rate sensitivity, deformation temperature sensitivity, the efficiency of power dissipation, Ziegler's instability criterion, etc were calculated, which were plastic deformation instability parameters as suggested by Ziegler, Malas, etc. Furthermore, deformation processing map was drawn by introducing dynamic materials model (DMM) and Ziegler's Continuum Criteria. This processing map was evaluated by relating the deformation instability conditions and the real microstructures. As a result, the optimum forging condition for the automobile wheel with the 6061 aluminum alloy was designed at temperature $450^{\circ}C$, strain rate $1.0{\times}10^{-1}sec^{-1}$. It was also confirmed by DEFORM finite element analysis tool with simulation process.

비전 및 HD Map 기반 차로 내 차량 정밀측위 기법 (Vehicle Localization Method for Lateral Position within Lane Based on Vision and HD Map)

  • 우리나라;서대화
    • 한국ITS학회 논문지
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    • 제20권5호
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    • pp.186-201
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    • 2021
  • 자율 주행 기술이 발전함에 따라 주행 주변 환경을 인식하는 데 차량 위치의 정확성은 매우 중요하다. 측위의 정확도를 높이기 위해 정밀지도를 사용한 지도 정합 측위기술(map-matching localization)이 연구되고 있다. 기존의 지도 정합 기법은 지도에서 차선의 중심으로 표현된 데이터를 기반으로 차량 위치를 추정하기에 차선 내 측면 거리의 편차를 반영하지 않는다. 따라서 본 논문에서는 정밀한 측위를 제공하기 위해 영상처리를 통한 차선 검출 기법과 정밀지도의 차선 위치 정보를 이용한 기법을 제안한다. 영상 처리 기법으로 IPM(inverse perspective mapping)과 다중 차선 검출 기법, 중앙선 검출 기법을 통하여 차선 번호를 검출하고 차선 이탈 감지 방법으로 차선 중심으로부터 차량의 측면 거리를 추정한다. 최종적으로 영상처리로 검출한 차선 번호와 GNSS / INS의 위치를 기반으로 정밀지도에서 위치 링크정보를 추출하고 추출된 링크에 측면 거리를 반영하여 차선 내 차량의 위치를 추정한다. 제안된 방법의 성능을 평가하기 위하여 실제 도로에서 실험하였다. 제안하는 방법은 GNSS / INS와 비교 시 약 1.0m 정도 정확도가 개선되며, 기존의 차선레벨 맵매칭 방법과 비교 시 구간별로 약 0.04m ~ 0.21m(7~30%) 정확도가 개선됨을 확인하였다.