• Title/Summary/Keyword: corresponding points

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Effective Marker Placement Method By De Bruijn Sequence for Corresponding Points Matching (드 브루인 수열을 이용한 효과적인 위치 인식 마커 구성)

  • Park, Gyeong-Mi;Kim, Sung-Hwan;Cho, Hwan-Gue
    • The Journal of the Korea Contents Association
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    • v.12 no.6
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    • pp.9-20
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    • 2012
  • In computer vision, it is very important to obtain reliable corresponding feature points. However, we know it is not easy to find the corresponding feature points exactly considering by scaling, lighting, viewpoints, etc. Lots of SIFT methods applies the invariant to image scale and rotation and change in illumination, which is due to the feature vector extracted from corners or edges of object. However, SIFT could not find feature points, if edges do not exist in the area when we extract feature points along edges. In this paper, we present a new placement method of marker to improve the performance of SIFT feature detection and matching between different view of an object or scene. The shape of the markers used in the proposed method is formed in a semicircle to detect dominant direction vector by SIFT algorithm depending on direction placement of marker. We applied De Bruijn sequence for the markers direction placement to improve the matching performance. The experimental results show that the proposed method is more accurate and effective comparing to the current method.

Automatic Image Registration Based on Extraction of Corresponding-Points for Multi-Sensor Image Fusion (다중센서 영상융합을 위한 대응점 추출에 기반한 자동 영상정합 기법)

  • Choi, Won-Chul;Jung, Jik-Han;Park, Dong-Jo;Choi, Byung-In;Choi, Sung-Nam
    • Journal of the Korea Institute of Military Science and Technology
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    • v.12 no.4
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    • pp.524-531
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    • 2009
  • In this paper, we propose an automatic image registration method for multi-sensor image fusion such as visible and infrared images. The registration is achieved by finding corresponding feature points in both input images. In general, the global statistical correlation is not guaranteed between multi-sensor images, which bring out difficulties on the image registration for multi-sensor images. To cope with this problem, mutual information is adopted to measure correspondence of features and to select faithful points. An update algorithm for projective transform is also proposed. Experimental results show that the proposed method provides robust and accurate registration results.

Relationship of Front Points' Location and Function to Response Zone (모혈(募穴)의 위치(位置) 및 작용(作用)과 반응대(反應帶)의 상관성(相關性) 고찰(考察))

  • Lee Dong-Kyu;Na Chang-Su
    • Korean Journal of Acupuncture
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    • v.17 no.1
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    • pp.157-171
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    • 2000
  • Front Points are told to be deeply related with viscera and bowels in oriental medicine. Since the Front Points are treated as response zone, it can be used for the diagnosis and treatment of disease in viscera and bowels. The location of Front Points are very similar to the several response zones in western medicine. Diagnostic aspect of Front Points to several response zones were discussed in here based on many thesis and reported laboratorial experiments. Front Points are located in the same latitude of viscera and bowels. So, diagnosis result in Front Points represent condition of each organs. Palpitation of the Front Points can make diagnosis of body surface and the organ beneath the body surface. Such use of Front Points for diagnosis can used as the treatment points also. Only three Front Points (LU-1, LI-14, GB-24) in lung, liver and gall bladder meridian are located on its meridian. The Front Points of Stomach (CV-12) cross its meridian or closely located to it. Unlike to those four Front Points that are matched to its meridian, other eight Front Points do not located or cross its meridian at all. It seems that the location of Front Points are decided by the location of organs and the conditions at a certain organ do not delivered by the meridians but delivered by main collaterals, tertiary collaterals and superficial collaterals instead. Among visceral response zones, Five Front Points (CV-3, CV-4, CV-12, LI-14, GB-25) are exactly matched to Head's response zone and other Front Points are closely matched to the Head's response zone. There are five Front Points (CV-12, CV-14, CV-17, LI-14, GB-24) that are matched with the location of pressing palpitation point and other Front Points are closely located to the pressing palpitation point. So far, it was clear that the Front Points do have important role as response points. Symptoms expressed to the Front Points were delivered conditions or symptoms occur in corresponding organ and the anatomical location of Front Points were also found near the corresponding organ. Diagnostic and therapeutic application of Front Points for Organ theory and in the Interpromotion-restraint of the five elements in oriental medicine can be made in future to increase its potential.

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An Improved RANSAC Algorithm Based on Correspondence Point Information for Calculating Correct Conversion of Image Stitching (이미지 Stitching의 정확한 변환관계 계산을 위한 대응점 관계정보 기반의 개선된 RANSAC 알고리즘)

  • Lee, Hyunchul;Kim, Kangseok
    • KIPS Transactions on Software and Data Engineering
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    • v.7 no.1
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    • pp.9-18
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    • 2018
  • Recently, the use of image stitching technology has been increasing as the number of contents based on virtual reality increases. Image Stitching is a method for matching multiple images to produce a high resolution image and a wide field of view image. The image stitching is used in various fields beyond the limitation of images generated from one camera. Image Stitching detects feature points and corresponding points to match multiple images, and calculates the homography among images using the RANSAC algorithm. Generally, corresponding points are needed for calculating conversion relation. However, the corresponding points include various types of noise that can be caused by false assumptions or errors about the conversion relationship. This noise is an obstacle to accurately predict the conversion relation. Therefore, RANSAC algorithm is used to construct an accurate conversion relationship from the outliers that interfere with the prediction of the model parameters because matching methods can usually occur incorrect correspondence points. In this paper, we propose an algorithm that extracts more accurate inliers and computes accurate transformation relations by using correspondence point relation information used in RANSAC algorithm. The correspondence point relation information uses distance ratio between corresponding points used in image matching. This paper aims to reduce the processing time while maintaining the same performance as RANSAC.

Multi-objective optimization of double wishbone suspension of a kinestatic vehicle model for handling and stability improvement

  • Bagheri, Mohammad Reza;Mosayebi, Masoud;Mahdian, Asghar;Keshavarzi, Ahmad
    • Structural Engineering and Mechanics
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    • v.68 no.5
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    • pp.633-638
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    • 2018
  • One of the important problems in the vehicle design is vehicle handling and stability. Effective parameters which should be considered in the vehicle handling and stability are roll angle, camber angle and scrub radius. In this paper, a planar vehicle model is considered that two right and left suspensions are double wishbone suspension system. For a better analysis of the suspension geometry, a kinestatic model of vehicle is considered which instantaneous kinematic and statics relations are analyzed simultaneously. In this model, suspension geometry is considered completely. In order to optimum design of double wishbones suspension system, a multi-objective genetic algorithm is applied. Three important parameters of suspension including roll angle, camber angle and scrub radius are taken into account as objective functions. Coordinates of suspension hard points are design variables of optimization which optimum values of them, corresponding to each optimum point, are obtained in the optimization process. Pareto solutions for three objective functions are derived. There are important optimum points in these Pareto solutions which each point represents an optimum status in the model. In other words, corresponding to any optimal point, a specific geometric position is determined for the suspension hard points. Each of the obtained points in the Pareto optimization can be selected for a special design purpose by designer to create an optimum condition in the vehicle handling and stability.

Analysis of Bosses Coordinates of the Cadastral Triangular points by Using GPS Observations (GPS측위를 이용한 지적기준점 성과의 점검)

  • 양철수;정래정;강상구
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2004.04a
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    • pp.519-520
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    • 2004
  • Using the baseline vectors obtained by GPS observations on 32 triangulation points over Gyunggido area, Bessel coordinates of the corresponding points are calculated according to trilateration adjustment. The result shows the possibility of construction of a new cadastral survey network with the degree of correctness of 5cm, when newly computing the coordinates of the survey datum point of the area with values from GPS baseline vectors.

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COMMON FIXED POINTS FOR TWO MAPPINGS WITH EXPANSIVE PROPERTIES ON COMPLEX VALUED METRIC SPACES

  • Piao, Yong-Jie
    • Journal of the Chungcheong Mathematical Society
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    • v.28 no.1
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    • pp.13-28
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    • 2015
  • In this paper, we use two mappings satisfying certain expansive conditions to construct convergent sequences in complex valued metric spaces, and then we prove that the limits of the convergent sequences are the points of coincidence or common fixed points for the two mappings. The main theorems in this paper are the generalizations and improvements of the corresponding results in real metric spaces, cone metric spaces and topological vector space-valued cone metric spaces.

Extraction of singular points of fingerprint image using multiresolution directional information (다해상도 방향성 정보를 이용한 지문영상의 특이점 추출)

  • 이준재;심재창;황석윤;남재열;이주형
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.22 no.5
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    • pp.928-938
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    • 1997
  • We propose an algorithm for extracting singular points of fingerprint image using directional information. First, we extract the candidates of singular points using Poincare index in two(lower and higher) resolutional directional images. Then we remove the false singular points using smoothing technique from lower resolutional directional image. And finally we select the singular points in higher resolution corresponding to those in lower resolution. The possible missing points in lower resolution are found by computing Poincare index algong the proposed small curve. And the reliable points are selected from analysis around them. We also propose a method for segmentation of fingerprint as preprocessing step to enhance the computational speed and the performance of system.

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A New Method for Relative/Quantitative Comparison of Map Built by SLAM (SLAM으로 작성한 지도 품질의 상대적/정량적 비교를 위한 방법 제안)

  • Kwon, Tae-Bum;Chang, Woo-Sok
    • The Journal of Korea Robotics Society
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    • v.9 no.4
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    • pp.242-249
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    • 2014
  • By a SLAM (simultaneous localization and mapping) method, we get a map of an environment for autonomous navigation of a robot. In this case, we want to know how accurate the map is. Or we want to know which map is more accurate when different maps can be obtained by different SLAM methods. So, several methods for map comparison have been studied, but they have their own drawbacks. In this paper, we propose a new method which compares the accuracy or error of maps relatively and quantitatively. This method sets many corresponding points on both reference map and SLAM map, and computes the translational and rotational values of all corresponding points using least-squares solution. Analyzing the standard deviations of all translational and rotational values, we can know the error of two maps. This method can consider both local and global errors while other methods can deal with one of them, and this is verified by a series of simulations and real world experiments.