• Title/Summary/Keyword: object matching

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A Comparative Legal Study on the Effect of the Increase of Risk in Marine Insurance (해상보검에 있어서 항검증가의 교과에 관한 비교법적 고찰)

  • 김경식
    • Journal of the Korean Institute of Navigation
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    • v.18 no.2
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    • pp.111-127
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    • 1994
  • A Contract of marine insurance is a contract whereby the insurer undertakes to indemnity the assurd, in manner and to the extent thereby agreed, against marine losses that is to say, the losses incident to marine adventure. But the matter is that whether the problem of increased risk in insurance law should be understood by matching to nay state under general principle of contract law and whether that we should give any effect is more proper to the original object of the system. For this, it is understood that it is a case to be applied a "clausula rebus sic stantibus" in general today, but it is regarded as the matter that whether "clausula rebus sic stantibs" is charging any position in change of risk and whether we should understood the concept of the risk on the substance of the risk. Accordingly the recognition for the problem like this, study should examine closely into whether any system for the effect of increase in change of risk is more proper and rational system provide the supplementing points through our principle of insurance law and the study by comparing method.by comparing method.

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Novel Parallel Approach for SIFT Algorithm Implementation

  • Le, Tran Su;Lee, Jong-Soo
    • Journal of information and communication convergence engineering
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    • v.11 no.4
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    • pp.298-306
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    • 2013
  • The scale invariant feature transform (SIFT) is an effective algorithm used in object recognition, panorama stitching, and image matching. However, due to its complexity, real-time processing is difficult to achieve with current software approaches. The increasing availability of parallel computers makes parallelizing these tasks an attractive approach. This paper proposes a novel parallel approach for SIFT algorithm implementation using a block filtering technique in a Gaussian convolution process on the SIMD Pixel Processor. This implementation fully exposes the available parallelism of the SIFT algorithm process and exploits the processing and input/output capabilities of the processor, which results in a system that can perform real-time image and video compression. We apply this implementation to images and measure the effectiveness of such an approach. Experimental simulation results indicate that the proposed method is capable of real-time applications, and the result of our parallel approach is outstanding in terms of the processing performance.

Determination of Cost Function in Disparity Space Image (변이공간영상에서의 비용 함수의 결정)

  • Park, Jun-Hee;Lee, Byung-Uk
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.32 no.5C
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    • pp.530-535
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    • 2007
  • Disparity space image (DSI) technique is a method of establishing correspondence between a pair of images. It has a merit of generating a dense disparity map for each pixel. DSI has a cost function to be minimized, and it needs empirical weighting factors for occlusion penalty and match reward. This paper provides theoretical basis for the weighting factors, which depend on image noise and contrast between an object and background.

3D Object tracking with reduced jittering (떨림 현상이 완화된 3차원 객체 추적)

  • Kang, Minseok;Park, Jungsik;Park, Jong-Il
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2015.11a
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    • pp.185-188
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    • 2015
  • 미리 저장된 객체의 3차원 특징점(Feature point) 좌표와 카메라 영상의 2차원 특징점 좌표를 매칭(Matching)하여 객체를 추적하는 방식의 경우, 카메라의 시점이 변할 때 특징점에서 발생되는 원근 효과(Perspective effect)가 반영되지 못하여 특징점 매칭 오류가 발생한다. 따라서 특징점에서 발생하는 원근 효과를 반영하여 정확한 카메라 포즈를 추정하기 위해 이전 프레임(Frame)의 카메라 포즈(Camera Pose)에 맞추어 텍스쳐가 포함 된 3차원 객체의 모델을 렌더링 하여 원근 효과를 적용한 후, 현재 카메라 영상과 특징점 매칭하여 프레임 사이의 카메라 움직임을 구하여 객체를 추적한다. 더 나아가 본 논문에서는 특징점 매칭에서 발생하는 작은 오류들로 인한 미세한 카메라 움직임은 2단계의 임계치(Threshold)를 적용하여 떨림 현상으로 간주하여 떨림 현상이 제거된 객체 추적을 수행한다. 매 프레임마다 카메라 포즈에 맞춘 추적 객체를 렌더링 하기 때문에 떨림 현상으로 간주되어 제거된 카메라 움직임은 누적되지 않고, 추적 오류도 발생시키지 않는다.

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Vision-based AGV Parking System (비젼 기반의 무인이송차량 정차 시스템)

  • Park, Young-Su;Park, Jee-Hoon;Lee, Je-Won;Kim, Sang-Woo
    • Journal of Institute of Control, Robotics and Systems
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    • v.15 no.5
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    • pp.473-479
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    • 2009
  • This paper proposes an efficient method to locate the automated guided vehicle (AGV) into a specific parking position using artificial visual landmark and vision-based algorithm. The landmark has comer features and a HSI color arrangement for robustness against illuminant variation. The landmark is attached to left of a parking spot under a crane. For parking, an AGV detects the landmark with CCD camera fixed to the AGV using Harris comer detector and matching descriptors of the comer features. After detecting the landmark, the AGV tracks the landmark using pyramidal Lucas-Kanade feature tracker and a refinement process. Then, the AGV decreases its speed and aligns its longitudinal position with the center of the landmark. The experiments showed the AGV parked accurately at the parking spot with small standard deviation of error under bright illumination and dark illumination.

Audio Marker Detection of the implementation for Effective Augmented Reality (효과적인 증강현실 구현을 위한 오디오 마커 검출)

  • Jeon, Soo-Jin;Kim, Young-Seop
    • Journal of the Semiconductor & Display Technology
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    • v.10 no.2
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    • pp.121-124
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    • 2011
  • Augmented Reality integrates virtual objects onto a real world so that it extends the human's sensibility of real-world. an Augmented Reality technology combines real and virtual object in a real environment, and runs interactive in real time, and is regarded as an emerging technology in a large part of the future of information technology. So the benefits for the various businesses are estimated to be very high. In this paper, combine ARToolkit with OpenAL we can provide audio to users. These proposed methodologies will contribute to a better immersive realization of the conventional Augmented Reality system.

Position Control of an Object Using Vision Sensor (비전 센서를 이용한 물체의 위치 제어)

  • Ha, Eun-Hyeon;Choi, Goon-Ho
    • Journal of the Semiconductor & Display Technology
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    • v.10 no.2
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    • pp.49-56
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    • 2011
  • In recent years, owing to the development of the image processing technology, the research to build control system using a vision sensor is stimulated. However, the time delay must be considered, because it works of time to get the result of an image processing in the system. It can be seen as an obstacle factor to real-time control. In this paper, using the pattern matching technique, the location of two objects is recognized from one image which was acquired by a camera. And it is implemented to a position control system as feedback data. Also, a possibility was shown to overcome a problem of time delay using PID controller. A number of experiments were done to show the validity of this study.

A Study on the Object Segmentation Using Active Contour Model based MPEG-4 (MPEG-4 기반의 능동윤곽모델을 이용한 스테레오 영상에서의 객체분할에 관한 연구)

  • Kim, Shin-Hyoung;Chun, Byung-Tea;Park, Doo-Yeong;Jang, Jong-Whan
    • Annual Conference of KIPS
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    • 2002.11a
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    • pp.57-60
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    • 2002
  • 본 논문에서는 능동윤곽모델(active contour model)의 잘 알려져 있는 스네이크(snake) 알고리즘을 스테레오영상에 적용하여 좌 우 영상의 disparity 정보를 이용 객체의 경계선을 찾는 알고리즘을 제안한다. 스네이크는 객체의 경계를 얻기 위해 에지정보를 사용하는데 실제 이미지에서 객체의 경계가 아닌 인접한 주위의 강한 애지(edge)에 대해서도 영향을 받게 되는 문제가 있다. 이러한 문제를 해결하기 위해 스테레오영상의 disparity 정보를 이용하여 이를 개선하고 disparity 측정에 사용되는 블록매칭(block matching)방법을 스네이크 알고리즘에 적용시켰다.

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A study on the face detection of moving object using BMA and dynamic GTM (BMA와 동적 GTM을 이용한 움직이는 객체의 얼굴 영역 검출에 관한 연구)

  • 장혜경;김영호;김대일;홍종선;강대성
    • Proceedings of the Korea Institute of Convergence Signal Processing
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    • 2003.06a
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    • pp.114-117
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    • 2003
  • 본 논문에서는 video stream내의 움직이는 객체 정보를 추정하고 동적 GTM(genetic tree-map) 알고리즘을 사용하여 얼굴 영역 검출 기법을 제안한다. 기존의 일반적인 객체 추정 기법은 클러스터(cluster)과정을 통하여 영상 정보를 분할하고 그 중 움직이는 객체 부분을 복원함으로서 추정하였다. 제안하는 기법은 BMA(block matching algorithm)[1] 알고리즘을 사용하여 video stream 에서 움직이는 객체 정보를 얻고 클러스터 알고리즘으로 PCA(principal component analysis)를 사용한다. PCA 기법은 입력 데이터에 관해 통계적 특성을 이용하여 주성분을 찾는다. 주축과 영역분할 알고리즘을 사용하여 데이터를 분할하고, 분할된 객체 정보를 사용하여 특정 객체만을 추정하는 것이 가능하다. 이렇게 추정된 객체를 얼굴영역의 feature에 대하여 신경망 학습인 동적 GTM 알고리즘을 사용하여 생성된 동적 GTM 맵의 정보에 따라 객체의 얼굴영역만을 추출해 낼 수 있다[2-6].

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A Fast SIFT Implementation Based on Integer Gaussian and Reconfigurable Processor

  • Su, Le Tran;Lee, Jong Soo
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.2 no.3
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    • pp.39-52
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    • 2009
  • Scale Invariant Feature Transform (SIFT) is an effective algorithm in object recognition, panorama stitching, and image matching, however, due to its complexity, real time processing is difficult to achieve with software approaches. This paper proposes using a reconfigurable hardware processor with integer half kernel. The integer half kernel Gaussian reduces the Gaussian pyramid complexity in about half [] and the reconfigurable processor carries out a parallel implementation of a full search Fast SIFT algorithm. We use a low memory, fine grain single instruction stream multiple data stream (SIMD) pixel processor that is currently being developed. This implementation fully exposes the available parallelism of the SIFT algorithm process and exploits the processing and I/O capabilities of the processor which results in a system that can perform real time image and video compression. We apply this novel implementation to images and measure the effectiveness. Experimental simulation results indicate that the proposed implementation is capable of real time applications.

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