• Title/Summary/Keyword: point matching

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Automated System on Extracting Digital Pattern for TDGS Image Analysis (TDGS 영상 분석을 통한 자동적 디지털 패턴의 추출)

  • Chang, Hwan;Park, You-Na;Lee, Bog-Ju
    • Annual Conference of KIPS
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    • 2003.05a
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    • pp.707-710
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    • 2003
  • 본 논문은 2차원 전기영동에 의해 나타나는 TOGS 영상을 분석하기 위한 시스템으로 실험적인 특성상 젤 위에 나타나는 반점들의 불규칙한 요소들이 많고 영상의 상태가 좋지 않은 경우 명암도가 떨어지는 반점들의 구분이 힘들게 된다. 기존의 전문가의 육안에 의한 TDGS 영상 분석은 그러한 불안적 요소들에 대해 유연하게 대처할 수 있는 능력이 있었다. 하지만, 그러한 예외적인 경우를 컴퓨터가 처리하기 위해서는 영상의 지역적 상태에 맞는 융통성 있는 영상처리 과정이 필요하고, 실제 분석에 사용되지 않는 반정들을 제외한 유효한 디지털 패턴의 판별이 요구된다. 이에 본 논문에서는 영상의 지역적 특성을 효과적으로 반영한 동적 이진화 방법을 통해 후보 패턴들을 추출하고, 모든 샘플들의 기준이 되는 Reference 패턴과 후보 패턴의 point matching 과정을 통해 디지털 패턴을 추출한다.

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Fast Outlier Removal for Image Registration based on Modified K-means Clustering

  • Soh, Young-Sung;Qadir, Mudasar;Kim, In-Taek
    • Journal of the Institute of Convergence Signal Processing
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    • v.16 no.1
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    • pp.9-14
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    • 2015
  • Outlier detection and removal is a crucial step needed for various image processing applications such as image registration. Random Sample Consensus (RANSAC) is known to be the best algorithm so far for the outlier detection and removal. However RANSAC requires a cosiderable computation time. To drastically reduce the computation time while preserving the comparable quality, a outlier detection and removal method based on modified K-means is proposed. The original K-means was conducted first for matching point pairs and then cluster merging and member exclusion step are performed in the modification step. We applied the methods to various images with highly repetitive patterns under several geometric distortions and obtained successful results. We compared the proposed method with RANSAC and showed that the proposed method runs 3~10 times faster than RANSAC.

Reconstruction of 3D Virtual Reality Using Depth Information of Stereo Image (스테레오 영상에서의 깊이정보를 이용한 3D 가상현실 구현)

  • Lee, S.J.;Kim, J.H.;Lee, J.W.;Ahn, J.S.;Lee, D.J.;Lee, M.H.
    • Proceedings of the KIEE Conference
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    • 1999.07g
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    • pp.2950-2952
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    • 1999
  • This paper presents the method of 3D reconstruction of the depth information from the endoscopic stereo scopic images. After camera modeling to find camera parameters, we performed feature-point based stereo matching to find depth information. Acquired some depth information is finally 3D reconstructed using the NURBS(Non Uniform Rational B-Spline) method and OpenGL. The final result image is helpful for the understanding of depth information visually.

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A study on the Measurement Algorithm for the Ball Height of BGA Device Using Stereo Vision (스테레오 비젼을 이용한 BGA 소자의 볼 높이 측정 알고리즘에 관한 연구)

  • Kim, Joon-Seek;Park, Young-Soon
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.20 no.6
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    • pp.26-34
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    • 2006
  • In this paper, We proposed he algorithm for defect extraction and a study of the stereo image modeling o inspect defect for the ball height of BGA(ball grid way) device using 2-dimensional images captured by the BGA device of using the high resolution CCD cameras. This paper propose the package/ball area extraction of BGA device part, the FOV(field of view) calibration part, the top point matching part, and ball height measurement method. Each BGA device propose extraction method by defect, Through the experiment, we verified the result.

Feature Point Matching Technique using Adjustment of Distortion between Correlation Windows (상관 윈도우사이의 왜곡을 보정한 특징점 정합 기법)

  • Ha, Seung-Tae;Han, Jun-Hui
    • Journal of KIISE:Software and Applications
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    • v.28 no.5
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    • pp.440-447
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    • 2001
  • 본 논문은 영상과 연관된 3차원 정보로부터 초기 3차원 변환을 유추, 상관윈도우를 변환시켜 정합에 이용하는 새로운 정합기법을 제안한다. 즉, 초기 스테레오 정합 등을 통한 3차원 정보를 추출하고, 인위적인 초기 특징점의 대응을 통해 3차원 변환을 얻으며, 이를 이용해 상관 윈도우의 3차원 변환을 가능하게 한다. 상관 윈도우의 3차원 변환은 기존의 방법이 가지는 영상 흐름의 2차원적인 제한을 이용한 정합방법에 비해 실제 카메라의 변환 유추에 합당하다. 또한 3차원 변환을 통해 정합 대상 점의 탐색범위를 최소화하고 정합의 결과에 신뢰성을 더한다. 실험에서는 다양한 영상의 정합 결과와 기존 방법과의 상관 계수 비교를 통해 본 논문이 제안하는 정합방법의 우월성을 보인다.

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Surface Rendering using Stereo Images (스테레오 영상을 이용한 Surface Rendering)

  • Lee, S.J.;Yoon, S.W.;Cho, Y.B.;Lee, M.H.
    • Proceedings of the KIEE Conference
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    • 2001.07d
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    • pp.2818-2820
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    • 2001
  • This paper presents the method of 3D reconstruction of the depth information from the endoscopic stereo scopic images. After camera modeling to find camera parameters, we performed feature-point based stereo matching to find depth information. Acquired some depth information is finally 3D reconstructed using the NURBS(Non Uniform Rational B-Spline) algorithm. The final result image is helpful for the understanding of depth information visually.

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The Loss Characteristic of Small Loop Antenna (소형 루프안테나의 손실특성)

  • Hwang, Jae-Ho
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2009.10a
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    • pp.762-765
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    • 2009
  • In general, small antenna is located with several devices in the mobile handsets. But these devices are a bad influence to characteristics of antenna. This paper deals with the loss characteristics of small loop antenna near the several devices in the small handset. Especially, we analyzed effect of ground plane and condensers that use matching circuit. Result of analysis, condenser near feed point of antenna to have much effect on radiation efficiency.

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Study on a Robust Object Tracking Algorithm Based on Improved SURF Method with CamShift

  • Ahn, Hyochang;Shin, In-Kyoung
    • Journal of the Korea Society of Computer and Information
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    • v.23 no.1
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    • pp.41-48
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    • 2018
  • Recently, surveillance systems are widely used, and one of the key technologies in this surveillance system is to recognize and track objects. In order to track a moving object robustly and efficiently in a complex environment, it is necessary to extract the feature points in the interesting object and to track the object using the feature points. In this paper, we propose a method to track interesting objects in real time by eliminating unnecessary information from objects, generating feature point descriptors using only key feature points, and reducing computational complexity for object recognition. Experimental results show that the proposed method is faster and more robust than conventional methods, and can accurately track objects in various environments.

Optimizing Shared Memory Accesses for GPGPU Computations (GPGPU를 위한 공유 메모리 최적화)

  • Tran, Nhat-Phuong;Lee, Myungho;Hong, Sugwon
    • Annual Conference of KIPS
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    • 2012.11a
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    • pp.197-199
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    • 2012
  • Recently, a lot of general-purpose application programs in addition to graphic applications have been parallelized for boosting their performance using Graphic Processing Unit (GPU)'s excellent floating-point performance. In order to maximize the application performance on GPUs, optimizing the memory hierarchy and the on-chip caches such as the shared memory is essential. In this paper, we propose techniques to optimize the shared memory, and verify its effectiveness using a pattern matching application program.

Linearization Method Using Variable Capacitance in Inter-Stage Matching Networks for CMOS Power Amplifier

  • Yoon, Jaehyuk;Park, Changkun
    • Journal of IKEEE
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    • v.23 no.2
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    • pp.454-460
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    • 2019
  • In this paper, a watt-level 2.4-GHz RFCMOS linear power amplifier (PA) with pre-distortion method using variable capacitance with respect to input power is demonstrated. The proposed structure is composed of a power detector and a MOS capacitor to improve the linearity of the PA. The pre-distortion based linearizer is embedded in the two-stage PA to compensate for the gain compression in the amplifier stages, it also improves the output P1dB by approximately 1 dB. The simulation results demonstrate a 1-dB gain compression power of 30.81 dBm at 2.4-GHz, and PAE is 29.24 % at the output P1dB point.