• Title/Summary/Keyword: 유사정합

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Accuracy Assessment of Orthophotos Automatically Generated by Commercial Software (상용 소프트웨어를 통해 자동 생성된 정사영상의 정확도 평가)

  • Choi, Kyoung-Ah;Park, Sun-Mi;Lee, Im-Pyeong;Kim, Seong-Joon
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.25 no.5
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    • pp.415-425
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    • 2007
  • In this study, we generated an orthophoto with both LIDAR data and aerial images and compared it with that generated from only the images. For the accuracy assessment of these orthophotos, we performed not only qualitative analysis based on visual inspection but also quantitative analysis by measuring horizontal inconsistency, boundary coordinates and similarity measures on buildings. Based on the visual inspection and horizontal inconsistency, the orthophoto based on LIDAR DSM appeared to be more closer to a true-orthophoto. However, the analysis on measurements of boundary coordinates and similarity measures indicates that the orthophoto based on LIDAR DSM is more vulnerable to double mapping on occluded areas. Accordingly, if we apply an effective solution on double mapping or use only the central areas of the aerial images where occluded areas are rarely founded, we can generate automatically true-orthophotos based on a LIDAR DSM.

A Study on the Effective Economic Appraisal of Port Remodeling Project (항만투자평가 개선방안에 관한 연구 - 항만 리모델링사업을 중심으로 -)

  • Lee, Jin-Woo
    • Journal of Korea Port Economic Association
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    • v.26 no.2
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    • pp.58-81
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    • 2010
  • The economic appraisal of a port remodeling project must be transparent and persuasive to the public over the entire stage of the project. A project evaluator need to be familiar with the guidelines on evaluation, and to do his best to follow the guidelines to evaluate the given project. To make the right decision on investment, the evaluator must take into consideration not only economic efficiency, but also equity issues such as income redistribution and balanced development between regions. Port remodeling projects tend to produce externalities to the environment. However, these externalities are of qualitative nature, and hard to measure in monetary terms, so these are liable to be ignored in the process of project evaluation. Two different approaches - RP(revealed preference) and SP(stated preference) have been tried to assess the value of these non-market goods. Government authorities need to set minimum guidelines which project evaluators must follow in order to make the evaluation more reliable.

Temporal Stereo Matching Using Occlusion Handling (폐색 영역을 고려한 시간 축 스테레오 매칭)

  • Baek, Eu-Tteum;Ho, Yo-Sung
    • Journal of the Institute of Electronics and Information Engineers
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    • v.54 no.2
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    • pp.99-105
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    • 2017
  • Generally, stereo matching methods are used to estimate depth information based on color and spatial similarity. However, most depth estimation methods suffer from the occlusion region because occlusion regions cause inaccurate depth information. Moreover, they do not consider the temporal dimension when estimating the disparity. In this paper, we propose a temporal stereo matching method, considering occlusion and disregarding inaccurate temporal depth information. First, we apply a global stereo matching algorithm to estimate the depth information, we segment the image to occlusion and non-occlusion regions. After occlusion detection, we fill the occluded region with a reasonable disparity value that are obtained from neighboring pixels of the current pixel. Then, we apply a temporal disparity estimation method using the reliable information. Experimental results show that our method detects more accurate occlusion regions, compared to a conventional method. The proposed method increases the temporal consistency of estimated disparity maps and outperforms per-frame methods in noisy images.

A Matrix-Based Graph Matching Algorithm with Application to a Musical Symbol Recognition (행렬기반의 정합 알고리듬에 의한 음악 기호의 인식)

  • Heo, Gyeong-Yong;Jang, Kyung-Sik;Jang, Moon-Ik;Kim, Jai-Hie
    • The Transactions of the Korea Information Processing Society
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    • v.5 no.8
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    • pp.2061-2074
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    • 1998
  • In pattern recognition and image analysis upplications, a graph is a useful tool for complex obect representation and recognition. However it takes much time to pair proper nodes between the prototype graph and an input data graph. Futhermore it is difficult to decide whether the two graphs in a class are the same hecause real images are degradd in general by noise and other distortions. In this paper we propose a matching algorithm using a matrix. The matrix is suiable for simple and easily understood representation and enables the ordering and matching process to be convenient due to its predefined matrix manipulation. The nodes which constitute a gaph are ordered in the matrix by their geometrical positions and this makes it possible to save much comparison time for finding proper node pairs. for the classification, we defined a distance measure thatreflects the symbo's structural aspect that is the sum of the mode distance and the relation distance; the fornet is from the parameters describing the node shapes, the latter from the relations with othes node in the matrix. We also introduced a subdivision operation to compensate node merging which is mainly due t the prepreocessing error. The proposed method is applied to the recognition of musteal symbols and the result is given. The result shows that almost all, except heavily degraded symbols are recognized, and the recognition rate is approximately 95 percent.

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Detection of M:N corresponding class group pairs between two spatial datasets with agglomerative hierarchical clustering (응집 계층 군집화 기법을 이용한 이종 공간정보의 M:N 대응 클래스 군집 쌍 탐색)

  • Huh, Yong;Kim, Jung-Ok;Yu, Ki-Yun
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.30 no.2
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    • pp.125-134
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    • 2012
  • In this paper, we propose a method to analyze M:N corresponding relations in semantic matching, especially focusing on feature class matching. Similarities between any class pairs are measured by spatial objects which coexist in the class pairs, and corresponding classes are obtained by clustering with these pairwise similarities. We applied a graph embedding method, which constructs a global configuration of each class in a low-dimensional Euclidean space while preserving the above pairwise similarities, so that the distances between the embedded classes are proportional to the overall degree of similarity on the edge paths in the graph. Thus, the clustering problem could be solved by employing a general clustering algorithm with the embedded coordinates. We applied the proposed method to polygon object layers in a topographic map and land parcel categories in a cadastral map of Suwon area and evaluated the results. F-measures of the detected class pairs were analyzed to validate the results. And some class pairs which would not detected by analysis on nominal class names were detected by the proposed method.

Video Retrieval based on Objects Motion Trajectory (객체 이동 궤적 기반 비디오의 검색)

  • 유웅식;이규원;김재곤;김진웅;권오석
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.25 no.5B
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    • pp.913-924
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    • 2000
  • This paper proposes an efficient descriptor for objects motion trajectory and a video retrieval algorithm based on objects motion trajectory. The algorithm describes parameters with coefficients of 2-order polynomial for objects motion trajectory after segmentation of the object from the scene. The algorithm also identifies types, intervals, and magnitude of global motion caused by camera motion and indexes them with 6-affine parameters. This paper implements content-based video retrieval using similarity-match between indexed parameters and queried ones for objects motion trajectory. The proposed algorithm will support not only faster retrieval for general videos but efficient operation for unmanned video surveillance system.

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Motion Vector Coding using Decoder-side Estimation (복호화기 측의 예측을 이용한 움직임 벡터 부호화)

  • Won, Kwang-Hyun;Yang, Jung-Youp;Jeon, Byeung-Woo
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2008.11a
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    • pp.131-134
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    • 2008
  • H.264/AVC 부호화 표준은 움직임 벡터를 부호화하기 위해 인접 블록이 가지는 다수의 움직임 벡터 중에서 확률적으로 해당 움직임 벡터와 가장 유사한 중간값을 예측 움직임 벡터로 사용한다. 이러한 방법은 다수의 움직임 벡터 중에서 어떤 움직임 벡터가 예측값으로 사용되었는지에 대한 추가 정보 없이 비트량을 효과적으로 감소시킬 수 있는 장점이 있으나, 중간값을 이용한 예측 움직임 벡터는 해당 움직임 벡터를 부호화하는데 소요되는 비트량을 항상 최소로 만드는 최적 예측값이 아니라는 단점이 있다. 이러한 문제를 해결하기 위해 다수의 인접 블록이 가지는 움직임 벡터 중에서 특정 움직임 벡터가 예측값으로 사용되었는지 표현하는 정보를 복호화기에 알려주도록 하여 항상 최적의 예측 움직임 벡터를 선택함으로써 부호화 효율을 향상시킬 수 있으나, 이에 대한 추가 정보를 부호화해야 하는 문제점이 발생하게 된다. 본 논문에서는 부호화기가 부호화 효율 측면에서 가장 우수한 움직임 벡터를 예측값으로 선택하고, 이를 복호화기가 스스로 예측함으로써 인접 블록이 가지는 다수의 움직임 벡터 중에서 특정 움직임 벡터가 예측값으로 사용되었는지에 대한 정보없이 움직임 벡터 부호화에 소요되는 비트량을 효과적으로 감소시키는 움직임 벡터 부호화 방법을 제안한다. 제안한 부호화기는 율-왜곡 측면에서 가장 우수한 예측 움직임 벡터를 선택하고, 복호화기는 부호화기가 선택한 예측 움직임 벡터를 정합 기술을 사용하여 스스로 예측한다. 실험 결과는 제안 방법이 QCIF 및 CIF 영상에서 약 2.2%의 전체 비트량을 감소시킬 수 있음을 보여준다.

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Camera Extrinsic Parameter Estimation using 2D Homography and LM Method based on PPIV Recognition (PPIV 인식기반 2D 호모그래피와 LM방법을 이용한 카메라 외부인수 산출)

  • Cha Jeong-Hee;Jeon Young-Min
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.43 no.2 s.308
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    • pp.11-19
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    • 2006
  • In this paper, we propose a method to estimate camera extrinsic parameter based on projective and permutation invariance point features. Because feature informations in previous research is variant to c.:men viewpoint, extraction of correspondent point is difficult. Therefore, in this paper, we propose the extracting method of invariant point features, and new matching method using similarity evaluation function and Graham search method for reducing time complexity and finding correspondent points accurately. In the calculation of camera extrinsic parameter stage, we also propose two-stage motion parameter estimation method for enhancing convergent degree of LM algorithm. In the experiment, we compare and analyse the proposed method with existing method by using various indoor images to demonstrate the superiority of the proposed algorithms.

An Efficient Image Matching Scheme Based on Min-Max Similarity for Distorted Images (왜곡 영상을 위한 효과적인 최소-최대 유사도(Min-Max Similarity) 기반의 영상 정합 알고리즘)

  • Heo, Young-Jin;Jeong, Da-Mi;Kim, Byung-Gyu
    • Journal of Korea Multimedia Society
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    • v.22 no.12
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    • pp.1404-1414
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    • 2019
  • Educational books commonly use some copyrighted images with various kinds of deformation for helping students understanding. When using several copyrighted images made by merging or editing distortion in legal, we need to pay a charge to original copyright holders for each image. In this paper, we propose an efficient matching algorithm by separating each copyrighted image with the merged and edited type including rotation, illumination change, and change of size. We use the Oriented FAST and Rotated BRIEF (ORB) method as a basic feature matching scheme. To improve the matching accuracy, we design a new MIN-MAX similarity in matching stage. With the distorted dataset, the proposed method shows up-to 97% of precision in experiments. Also, we demonstrate that the proposed similarity measure also outperforms compared to other measure which is commonly used.

Fuzzy Pulse-Width-Modulated Feedback Control: Global Intelligent Digital Redesign Approach (퍼지 펄스폭 변조 궤환 제어: 전역적 지능형 디지털 재설계 접근법)

  • Lee Ho Jae;Joo Young Hoon;Park Jin Bae
    • Journal of the Korean Institute of Intelligent Systems
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    • v.15 no.1
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    • pp.92-97
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    • 2005
  • This paper discusses an intelligent digital redesign technique for designing a fuzzy pulse-width-modulated (PWM) control. First when we are given a well-designed fuzzy analog control, the equivalent digital control is intelligently redesigned. Using the similar technique we intelligently redesign the fuzzy PWM control from the intelligently redesigned fuzzy digital control. A stabilizability of the intelligently redesigned PWM control is rigorously analyzed.