• Title/Summary/Keyword: Spatial object

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A Study on Face Object Detection System using spatial color model (공간적 컬러 모델을 이용한 얼굴 객체 검출 시스템 연구)

  • Baek, Deok-Soo;Byun, Oh-Sung;Baek, Young-Hyun
    • 전자공학회논문지 IE
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    • v.43 no.2
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    • pp.30-38
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    • 2006
  • This paper is used the color space distribution HMMD model presented in MPEG-7 in order to segment and detect the wanted image parts as a real time without the user's manufacturing in the video object segmentation. Here, it is applied the wavelet morphology to remove a small part that is regarded as a noise in image and a part excepting for the face image. Also, it did the optimal composition by the rough set. In this paper, tile proposed video object detection algorithm is confirmed to be superior as detecting the face object exactly than the conventional algorithm by applying those to the different size images.put the of paper here.

Volumetric Interferometry Using Spherical Wave Interference for Three-dimensional Coordinate Metrology

  • Rhee, Hyug-Gyo;Chu, Ji-Young;Kim, Seung-Woo
    • Journal of the Optical Society of Korea
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    • v.5 no.4
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    • pp.140-145
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    • 2001
  • We present a new method of volumetric interferometer, which is intended to measure the three-dimensional coordinates of a moving object in a simultaneous way with a single optical setup. The method is based on the principles of phase-measuring interferometry with phase shifting. Two diffraction point sources, which are made of the polished ends of single-mode optical fibers are embedded on the object. Two spherical wavefronts emanate from the diffraction point sources and interfere with each other within the measurement volume. One wavefront is phase-shifted by elongating the corresponding fiber using a PZT extender. A CCD array sensor fixed at the stationary measurement station detects the resulting interference field. The measured phases are then related to the three-dimensional location of the object with a set of non-liner equations of Euclidean distance, from which the complete set of three-dimensional spatial coordinates of the object is determined through rigorous numerical computation based upon the least square error minimization.

Development of Digital Image Acquisition Technique for Momentary Positioning of Dynamic Object (동체의 순간 위치결정을 위한 수치영상 획득기법 개발)

  • Han, Seung-Hee;Kang, Joon-Mook
    • Journal of Korean Society for Geospatial Information Science
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    • v.4 no.2 s.8
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    • pp.47-54
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    • 1996
  • It needs more than two images which are obtained in real time to decide 3D positioning of dynamic object. Though we use digital camera which is became wide utilization, but it can't obtain sequential image. So, in this study, we constructed momentary image acquisition system using video camera. Also, we took a photograph of LCD timer and dynamic object together for real time stereo image, and we obtained independent digital image from sequential image using video editor. As a result of the study, we could obtain the independent image as true color digital image of $788{\times}550$pixels with 1/100sec accuracy in the same time. And it was good when we tested object target. For comparing 3D positioning accuracy, we could obtained negative with metric camera using B-shutter.

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The Robust Derivative Code for Object Recognition

  • Wang, Hainan;Zhang, Baochang;Zheng, Hong;Cao, Yao;Guo, Zhenhua;Qian, Chengshan
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.1
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    • pp.272-287
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    • 2017
  • This paper proposes new methods, named Derivative Code (DerivativeCode) and Derivative Code Pattern (DCP), for object recognition. The discriminative derivative code is used to capture the local relationship in the input image by concatenating binary results of the mathematical derivative value. Gabor based DerivativeCode is directly used to solve the palmprint recognition problem, which achieves a much better performance than the state-of-art results on the PolyU palmprint database. A new local pattern method, named Derivative Code Pattern (DCP), is further introduced to calculate the local pattern feature based on Dervativecode for object recognition. Similar to local binary pattern (LBP), DCP can be further combined with Gabor features and modeled by spatial histogram. To evaluate the performance of DCP and Gabor-DCP, we test them on the FERET and PolyU infrared face databases, and experimental results show that the proposed method achieves a better result than LBP and some state-of-the-arts.

A Study on the history management of Object-based digital map by UFID (UFID를 활용한 객체기반 수치지도 이력관리 방안 연구)

  • Park, Chung;Park, Ki-Surk
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2010.04a
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    • pp.57-59
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    • 2010
  • The current Digital map is ambiguous to be managed because that's managed partition unit file-based. It brings about the cost of consumption because area has been changed or not is managed redundantly and there has been no way to provide digital map of spatial and time management. In addition, digital map can't have the management of security assurance and systematization because it is managed file-based. Therefore, this research provides figures that after applying UFID per object, it can be managed history every update of it by object unit.

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Profilometry based on Structured Illumination with Hypercentric Optics (하이퍼센트릭 광학계를 이용한 구조 조명 형상 측정 방법)

  • Kim, Sungmin;Cho, Minguk;Lee, Maengjin;Hahn, Joonku
    • Journal of Institute of Control, Robotics and Systems
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    • v.19 no.12
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    • pp.1089-1093
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    • 2013
  • Depth extraction using the structured illumination method is popularly applied since it has the benefit of measuring the object without contact. With multiple spatial frequencies and phase-shifting techniques, it is possible to extract the depth of objects with large discontinuity. For applications such as 3D (Three Dimensional) displays, 3D information of the object is required and is useful if corresponding to each view of the display. For this purpose, hypercentric optics is appropriate to measure the depth information of an object with a large field of view that is applicable for a 3D display. By experiment, we present the feasibility for phase-shifting profilometry using hypercentric optics to obtain the depth information of an object with the field of view appropriate for a 3D display.

A Study on Aerial Triangulation from Multi-Sensor Imagery

  • Lee, Young-Ran;Habib, Ayman;Kim, Kyung-Ok
    • Korean Journal of Remote Sensing
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    • v.19 no.3
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    • pp.255-261
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    • 2003
  • Recently, the enormous increase in the volume of remotely sensed data is being acquired by an ever-growing number of earth observation satellites. The combining of diversely sourced imagery together is an important requirement in many applications such as data fusion, city modeling and object recognition. Aerial triangulation is a procedure to reconstruct object space from imagery. However, since the different kinds of imagery have their own sensor model, characteristics, and resolution, the previous approach in aerial triangulation (or georeferencing) is purformed on a sensor model separately. This study evaluated the advantages of aerial triangulation of large number of images from multi-sensors simultaneously. The incorporated multi-sensors are frame, push broom, and whisky broom cameras. The limits and problems of push-broom or whisky broom sensor models can be compensated by combined triangulation with other sensors The reconstructed object space from multi-sensor triangulation is more accurate than that from a single model. Experiments conducted in this study show the more accurately reconstructed object space from multi-sensor triangulation.

Object Detection and Classification Using Extended Descriptors for Video Surveillance Applications (비디오 감시 응용에서 확장된 기술자를 이용한 물체 검출과 분류)

  • Islam, Mohammad Khairul;Jahan, Farah;Min, Jae-Hong;Baek, Joong-Hwan
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.48 no.4
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    • pp.12-20
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    • 2011
  • In this paper, we propose an efficient object detection and classification algorithm for video surveillance applications. Previous researches mainly concentrated either on object detection or classification using particular type of feature e.g., Scale Invariant Feature Transform (SIFT) or Speeded Up Robust Feature (SURF) etc. In this paper we propose an algorithm that mutually performs object detection and classification. We combinedly use heterogeneous types of features such as texture and color distribution from local patches to increase object detection and classification rates. We perform object detection using spatial clustering on interest points, and use Bag of Words model and Naive Bayes classifier respectively for image representation and classification. Experimental results show that our combined feature is better than the individual local descriptor in object classification rate.

Measurement of Micro-displacement of an Object by Laser Speckle using Linear Array CCD Detection System (레이저 스펙클과 1차원 CCD소자를 이용한 물체의 미소변위측정에 관한 연구)

  • 우창헌;민동현;김수용
    • Korean Journal of Optics and Photonics
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    • v.5 no.1
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    • pp.138-143
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    • 1994
  • A speckle correlation method was applied to measure the in-plane translation of a diffuse object which has rough surface using a linear CCD sensor and personal computer. Displacement of a speckle pattern produced from the object illuminated by a laser beam was measured by the cross-correlation functions between the I-D speckle profiles before and after the object translation, which were measured by linear CCD array sensor to be sent to IBM 386 personal computer. The sensitivity of the measurement was dependent on the radius of the wavefront curvature of incident beam as well as the spatial resolution of linear CCD array. A linear CCD array had 15 Jlffi pitch and 1728 pixels. The ratio of the speckle displacement and object translation varied from 1.03 to 5.20. The object translation of $3\mu\textrm{m}$ can be measured br the linear CCD sensor of which pitch was $15\mu\textrm{m}$, when the ratio of the speckle displacement and object translation was 5.20.s 5.20.

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A Study on the Meaning of object in Space from the Viewpoint of the Unconscious of Freud - Focusing on works by Philippe Starck after 2000 - (프로이트의 무의식 관점으로 본 공간 속 오브제 의미에 관한 연구 - 2000년 이후의 필립 스탁 작품을 중심으로 -)

  • Park, Yoo-Mi;Lee, Chan
    • Korean Institute of Interior Design Journal
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    • v.17 no.2
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    • pp.130-139
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    • 2008
  • We have attached importance to the values of spirit and immateriality. As the age of modernism of rationality ended, human being began to emphasize spiritual and immaterial while accepting multiplicity and diversification in the whole areas of society and culture. Hence interests have increased in another side of human spirit that was oppressed by rational, analytic, reasonable and scientific thinking, which has expanded the inner world of human being to the world of the unconscious. According to these paradigm changes, steady efforts to improve our lives better both materially and spiritually have been made in the areas of art and design. Therefore, the current study aims to examine the meaning of object expressed in space from the viewpoint of the unconscious, focusing on works of designer Philippe Starck after 2000 in which unique, preferential and liking characteristics are expressed well. Philippe Starck is a designer who connects design with our daily lives and formalizes it with creative ideas. Also the study theoretically explored the theory of the unconscious, a concept of Freudianism, based on 'Meaning of Dreams' of Freud, and explained the expressional characteristics and meaning of unconscious desire through his works by putting object in Philippe Starck's space. It aims to grope for the meaning of object as another possibility that can function as a spatial ruling element by analyzing object through expanding the extent of correlation and interpretation between human containing spiritual things and object which is the recognition subject in space of the present time, not a mere concept as substance like in the past, and expression of Starck's unconscious desire based on unconscious theory.