• Title/Summary/Keyword: three-dimensional information

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A Rule-Based Stereo Matching Algorithm to Obtain Three Dimesional Information (3차원 정보를 얻기 위한 Rule-Based Stereo Matching Algorithm)

  • 심영석;박성한
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.27 no.1
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    • pp.151-163
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    • 1990
  • In this paper, rule-based stereo algorithm is explored to obtain three dimensional information of an object. In the preprocessing of the stereo matching, feature points of stereo images must be less sensitive to noise and well linked. For this purpose, a new feature points detection algorithm is developed. For performing the stereo matching which is most important process of the stereo algorithm, the feature representation of feature points is first described. The feature representation is then used for a rule-based stereo algorithm to determine the correspondence between the input stereo images. Finally, the three dimensional information of the object is determined from the correspondence of the feature points of right and left images.

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Two­Dimensional Warranty Data Modelling (2차원 품질보증데이터 모델링)

  • Jai Wook Baik;Jin Nam Jo
    • Journal of Korean Society for Quality Management
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    • v.31 no.4
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    • pp.219-225
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    • 2003
  • Two­dimensional warranty data can be modelled using two different approaches: two­dimensional point process and one­dimensional point process with usage as a function of age. The first approach has three different models. First of all, bivariate model is appealing but is not appropriate for explaining warranty claims. Next, the rest of the two models (marked point process, and counting and matching on both directions independently) are more appropriate for explaining warranty claims. However, the second one (counting and matching on both directions independently) assumes that the two variables (variables representing the two­dimensions) are independent. Last of all, one­dimensional point process with usage as a function of age is also promising to explain the two­dimensional warranty claims. But the models or variations of them need more investigation to be applicable to real warranty claim data.

Real-Time Color Gamut Mapping Method Based on the Three-Dimensional Difference Look-Up Table (3차원 차분 룩업 테이블을 이용한 실시간 색역 사상 기법)

  • Han, Dong-Il
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.42 no.6
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    • pp.111-120
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    • 2005
  • A cost effective three-dimensional color gamut mapping architecture is described. The conventional three-dimensional reduced resolution look-up table is considered and the concept of three-dimensional reduced resolution difference look-up table is introduced for cost effective and real-time color gamut mapping. The overall architecture uses one-dimensional memory decomposition of three-dimensional gamut mapping look-up table, three-dimensional interpolation and simple addition operation for generating the final gamut mapped colors. The required computational cost is greatly reduced by look-up table resolution adjustment and further reduced by the gamut mapping rule modification. The proposed architecture greatly reduces the required memory size and hardware complexity compared to the conventional method and it is suitable for real-time applications. The proposed hardware is suitable for FPGA and ASIC implementation and could be applied to the real-time display quality enhancement purposes.

The study of three dimentional flow field using defocusing method in micromixer (Defocusing 기법을 이용한 마이크로 믹서내의 3 차원 유동장 측정연구)

  • Kim, Su-Heon;Yoon, Sang-Youl;Kim, Kyung-Chun
    • 한국가시화정보학회:학술대회논문집
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    • 2005.12a
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    • pp.99-102
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    • 2005
  • This study was conducted for obtaining the optimized data to build the mixer or micro fluid device as measuring the three dimensions flow field in micro mixer. To acquire the rapid diffusion on the region of low Reynolds (Re < 100), the staggered herringbone mixer using chaotic advection was selected in this case. At first, by conducting the numerical analytical virtual experiment using CFD-ACE+, three dimensions flow field in the micro mixer was estimated As this flow field was proven using defocusing particle tracing method, the behavior of micro flow with three dimensional aspects could be analyzed. Numerical analysis and flow pattern in the micro mixer by experimental verification made to be able to analyze the chaotic advection. These can be important sources for building more optimized form. Verifying the information of three dimensional flow structure, these information can be used as the data for developing and improving the $\mu$ -TAS.

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LONGITUDINAL WAVES, STORING AND AMPLIFYING CAPABILITY OF INFORMATION IN WATER MOLECULES AND QUANTUM RESONANCE SPECTROMETER

  • Oh, Hung-Kuk
    • Proceedings of the Korea Society for Energy Engineering kosee Conference
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    • 1996.10b
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    • pp.18-28
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    • 1996
  • The outer-most electrons of metal atoms and the remaining valence electrons of any molecular atoms make three-dimensional crystallizing $\pi$-bondings. The rotating electrons on the three-dimensional crystallizing $\pi$-bonding orbitals of atoms make $\pi$-far infrared rays. Longitudinal wave is a propagation of a bundle of $\pi$-far infrared rays, which are produced by a dynamic impact on a solid bar. The $\pi$-far infrared rays make three-dimensional crystallizing $\pi$-bondings in the material, which reproduce the same $\pi$-far infrared rays. If a current signal is input into water molecules under a given electric potential field with $\pi$-far infrared rays (input information), the signal can be amplified because the $\pi$-far infrared rays make the $\pi$-bondings, which reduce electric resistance. The three-dimensional crystallizing $\pi$-bondings can induce normal electrons to move from one orbital to next one with a aid of potential electric field. Quantum Resonance Spectrometer is composed of tesla coil absorbing $\pi$-far infrared rays, tesla coil emitting varying electromagnetic waves signal generator, signal storage, human body amplifier, signal analyzer and data indicator. The absorbing tesla coil making varying magnetic field and downward and upward electric field, which resonates the $\pi$-far infrared rays coming out from specimen and absorbs them. The modulated current signal from the input square signal can generate and emit varying electromagnetic waves from the tesla coil. The varying electro-magnetic waves make the three-dimensional crystallizing $\pi$-bondings and the $\pi$-far infrared rays in the water molecules.

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Three-dimensional Display of Microscopic Specimen using Integral Imaging Microscope and Display (집적 영상 현미경과 집적 영상 디스플레이를 이용한 미세시료의 3차원 영상 재생)

  • Lim, Young-Tae;Park, Jae-Hyeung;Kwon, Ki-Chul;Kim, Nam
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.34 no.11B
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    • pp.1311-1319
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    • 2009
  • Microscopic specimen was captured by an integral imaging microscope and displayed as a three-dimensional image by an integral imaging display system. We applied the generalized relationship between pickup and display using two different lens arrays to our integral imaging microscope and display system. In order to display three-dimensional microscopic image, scaling of the captured elemental images is required. We analyzed the effect of the scaling coefficient in terms of the distortion of the displayed three-dimensional image and the loss of the captured elemental images. In our experiment, microscopic specimen is picked up by an integral imaging microscope having $125{\mu}m$ elemental lens pitch and displayed as three-dimensional image by an integral imaging display system having 1mm elemental lens pitch. The scaling coefficient was chosen to minimize the elemental image loss.

A Study on Localization System using 3D Triangulation Algorithm based on Dynamic Allocation of Beacon Node (비컨노드의 동적배치 기반 3차원 삼각측량 알고리즘을 적용한 위치인식 시스템에 대한 연구)

  • Lee, Ho-Cheol;Lee, Dong-Myung
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.36 no.4B
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    • pp.378-385
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    • 2011
  • The three-dimensional triangulation algorithm that the beacon nodes can be allocated to dynamically in not the experimental region but the practical region is suggested, and the performance of the localization system adapting the suggested algorithm is analyzed. The suggested algorithm adapts the computation method of the three dimensional point that the surfaces of three spheres overlapped, while the traditional triangulation algorithm adapts the computation method of the two dimensional point that three circles are overlapped in order to compute the distance between beacon nodes and mobile node that means a radius. In addition to this, to analyze the performance of the localization system adapting the suggested algorithm, first of all, the allocation layout of beacon nodes is made, and the allocation layout is modeled by selection of ten random distance values between mobile node and beacon nodes for computer simulation of the practical model. Next, the two dimensional coordinator of mobile node that is calculated by the suggested algorithm and the traditional triangulation algorithm is compared with each other. The localization measuring performance about three dimensional coordinator(z axis) of the suggested algorithm is also obtained by comparing with that of the practical model.

Development of New Optimized Sampling method for 3D Shape Recovery in the Presence of Noise

  • Lee, Hyeong-Geun;Jang, Hoon-Seok
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.13 no.2
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    • pp.113-122
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    • 2020
  • Noise affects the accuracy of three-dimensional shape recovery. Its occurrence is unpredictable and depends on several mechanical, environmental, and other factors. When two-dimensional image sequences are obtained for shape from focus (SFF), mechanical vibration occurs in the translational stage, causing an error in the three-dimensional shape recovery. To address this issue, mechanical vibration is modeled using Newton's second law and the principle of the rack and pinion gear. Then, an optimal sampling step size considering the mechanical vibration is suggested through theoretical demonstration. Experiments conducted with real objects verify the effectiveness of the proposed sampling step size. In this paper, in a realistic environment with noise, the potential of obtaining more accurate three-dimensional reconstruction results of the objects is explored by acquiring the optimal sampling step size, which improves the sampling step size relative to those reported in a previous study performed under similar conditions.

Development of three-dimensional image modelling of meridian and acupoint (경락경혈의 3차원 영상모델 구현을 위한 시제품 개발연구)

  • Yin, Chang-Shik;Park, Hi-Joon;Lee, Hye-Jung
    • Korean Journal of Acupuncture
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    • v.25 no.4
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    • pp.167-174
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    • 2008
  • Objectives : Acupuncture points and meridians have been usually depicted as a two dimensional drawing and verbal description. Recently, imaging and three-dimensional image processing technologies have been introduced into medical fields such as anatomy and virtual operation, for the purpose of enhanced efficiency in research and education. This study attempted an image modelling of the meridian and acupoint in the upper limb region. Methods : A vector image model of an arm was produced and medical information on the meridian and acupoint of the arm region was incorporated. Results : A 3D modelling of the acupuncture meridian and acupoint in the upper limb region was produced along with a user console to control the presentation of related information and to facilitate visualization of the 3D model images. Conclusions : A 3D modelling of the acupuncture meridian and acupoint will be an efficient platform for an education and research.

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Three-dimensional Face Recognition based on Feature Points Compression and Expansion

  • Yoon, Andy Kyung-yong;Park, Ki-cheul;Park, Sang-min;Oh, Duck-kyo;Cho, Hye-young;Jang, Jung-hyuk;Son, Byounghee
    • Journal of Multimedia Information System
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    • v.6 no.2
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    • pp.91-98
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    • 2019
  • Many researchers have attempted to recognize three-dimensional faces using feature points extracted from two-dimensional facial photographs. However, due to the limit of flat photographs, it is very difficult to recognize faces rotated more than 15 degrees from original feature points extracted from the photographs. As such, it is difficult to create an algorithm to recognize faces in multiple angles. In this paper, it is proposed a new algorithm to recognize three-dimensional face recognition based on feature points extracted from a flat photograph. This method divides into six feature point vector zones on the face. Then, the vector value is compressed and expanded according to the rotation angle of the face to recognize the feature points of the face in a three-dimensional form. For this purpose, the average of the compressibility and the expansion rate of the face data of 100 persons by angle and face zone were obtained, and the face angle was estimated by calculating the distance between the middle of the forehead and the tail of the eye. As a result, very improved recognition performance was obtained at 30 degrees of rotated face angle.