• Title/Summary/Keyword: Sequence images

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Depth Measurement Using Pixel Intensities (픽셀 명암도를 이용한 물체 깊이 측정)

  • Choi, Wook-Jin;Mannan, S.M.;Lee, Min-Ji;Choi, Tae-Sun
    • Proceedings of the IEEK Conference
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    • 2008.06a
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    • pp.901-902
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    • 2008
  • In this paper, we have proposed a new method to estimate three dimensional (3D) shape of an object. The new method is simple and fast, based on Pixel-Intensities in the images sequence as a model for depth measurement. The images are taken by varying the focus value in small steps, and each pixel in the image is taken as a single measurement. The proposed algorithm is more fast and accurate than previous methods.

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Analysis on Dominant Factor for Gait Recognition (걸음걸이 인식을 위한 지배 요소 분석)

  • 박한훈;박종일
    • Proceedings of the IEEK Conference
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    • 2003.11a
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    • pp.321-324
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    • 2003
  • This paper presents a novel system that analyzes and recognizes a gait based on shape context on silhouette images. The main functions of the system consist of three steps: First, the system extracts the silhouette images from galt image sequence by performing a simple pre-processing and acquires the AGM(Averaged Gait Map) by averaging them. Next. it computes the cross-correlation between the AGMs. Finally, it classifies the AGMs based on the cross-correlation using nearest neighborhood classification. The proposed system uses two cues to classify a gait: One corresponds to biometric shape cue such as body height width. and body-part proportions. The other corresponds to gait cue such as stride length and amount of arm swing. Perceptionally, the biometric cues are sailent on the double support (both legs spread and touching the ground) while the gait cues on the midstance. Through a variety of experiments, it is proved that the property of a gait is mainly influenced by gait cues than biometric cues.

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Diagnosis of Subclavian Steal: Contrast Enhanced 3D MR Angiography vs 2D TOF

  • 이호규;김건언;최중곤;서대철
    • Proceedings of the KSMRM Conference
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    • 2001.11a
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    • pp.136-136
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    • 2001
  • Purpose: Subclavian steal refers to the retrograde flow of blood in a vertebral artery that supplies t ipsilateral shoulder and arm caused by proximal subclavian artery stenosis or occlusion. T purpose of this exhibit is to demonstrate MR findings of subclavian steal on contrast-enhanc 3D (CE 3DMRA) and 2D TOF MR angiography. Method: Four patients(men 3 and women 1, age: 28-78years) with subclavian steal obtained both CE 3DMRA and digital subtraction angiography(DSA) including subclavian arterie Sequential imaging was undertaken during first pass after double dose of Gd-DTPA (0 mM/kg) Injected by a power injector. Coronal source images were obtained with coronal D-fast low angle shot sequence(TR/TE/flip angle=3.8/l.3/35, acquisition time= 10sec/one measurement). Precontrast imaging was subtracted from enhanced images and maximu intensity projection was done. 2D time-of-flight MR angiography(2D TOF) of the carot bifurcation was added in all cases with post-saturation. All studies were review retrospectively.

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Adaptive Encryption for DWT-based Images by Chaotic system (카오스 시스템에 의한 DWT기반 영상의 적응적 암호화)

  • 김수민;서영호;김동욱
    • Proceedings of the IEEK Conference
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    • 2003.07e
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    • pp.1859-1862
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    • 2003
  • Security of digital images attracts much attention recently, and many image encryption methods have been proposed. This paper proposed an image encryption methodology to hide the image information. The target data of it is the result from quantization in the wavelet domain. This method encrypts only part of the image data rather than the whole data of the original image. For ciphering the quantization index we use a novel image encryption Algorithm called BRIE(Bit Recirculation Image Encryption). which was proposed by J. C. Yen and J. I. Guo in 1999. According to a chaotic binary sequence generated by BRIE, the block which is produced by quantization index is cyclically shifted in the right or left direction. Finally, simulation results are included to demonstrate its effectiveness.

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Key-Frame Based Real-Time Fluid Simulations (키-프레임 기반 실시간 유체 시뮬레이션)

  • Ryu, Ji-Hyun;Park, Sang-Hun
    • Journal of Korea Multimedia Society
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    • v.9 no.11
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    • pp.1515-1528
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    • 2006
  • Systems for physically based fluid animation have developed rapidly in the visual special effects industry and can make very high quality images. However, in the real-time application fields such as computer game, the simulation speed is more critical issue than image quality. This paper presents a real-time method for animating fluid using programmable graphics pipeline. We show that once two key-frames are given, the technique can interactively generate a sequence of images changing from the source key-frame to the target.

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A Method for Generating Inbetween Frames in Sign Language Animation (수화 애니메이션을 위한 중간 프레임 생성 방법)

  • O, Jeong-Geun;Kim, Sang-Cheol
    • The Transactions of the Korea Information Processing Society
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    • v.7 no.5
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    • pp.1317-1329
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    • 2000
  • The advanced techniques for video processing and computer graphics enables a sign language education system to appear. the system is capable of showing a sign language motion for an arbitrary sentence using the captured video clips of sign language words. In this paper, a method is suggested which generates the frames between the last frame of a word and the first frame of its following word in order to animate hand motion. In our method, we find hand locations and angles which are required for in between frame generation, capture and store the hand images at those locations and angles. The inbetween frames generation is simply a task of finding a sequence of hand angles and locations. Our method is computationally simple and requires a relatively small amount of disk space. However, our experiments show that inbetween frames for the presentation at about 15fps (frame per second) are achieved so tat the smooth animation of hand motion is possible. Our method improves on previous works in which computation cost is relativey high or unnecessary images are generated.

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Speeding up the KLT Tracker for Realtime Image Georeferencing (실시간 영상 지오레퍼런싱을 위한 KLT 트랙커의 속도개선)

  • Supannee, Tanathong;Lee, Im-Pyeong
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2010.04a
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    • pp.77-80
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    • 2010
  • The demand for human security significantly promotes the development of surveillance applications using a multi-sensor integrated UAV system. For more sophisticated operations, the system should provide a sequence of images rectified in a ground coordinate system in realtime. This rectification requires accurate position and attitude of the camera at the time of exposure of each image, which can be estimated through an Aerial Triangulation process using the GPS/INS data and tie points between adjacent images. In this work, the KLT tracker is utilized to obtain the tie points. To satisfy the realtime requirements, we present an approach to speed up the tracker by supplying the initial guessed positions of tie points based on the exterior orientation. The experimental results show that, when the guessed positions are supplied, the KLT tracker consumed less computational time than the ordinary KLT which is more suitable to be incorporated into the realtime image georeferencing process.

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Pattern Recognition Using Spectrum Analyzer and Neural Network (신경망의 스펙트럼 분석기를 이용한 패턴 인식)

  • 김남익;한수환;전도홍
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1996.10a
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    • pp.211-214
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    • 1996
  • This paper propose a method for pattern recogniton using spectrum analyzer and fuzzy ARTMAP. Contour sequences obtained from 2-D planar images represent the Euclidean distance between the centroid and all boundary pixels of the shape, and are related to the overall shape of the images. The Fourier transform of contour sequence and spectrum analyzer are used as a means of feature selection and data reduction. The three dimensional spectral feature vectors are extracted by spectrum analyzer from the FFT spectrum. These Spectral feature vectors are invariant to shape translation, rotation, and scale transformations. The fuzzy ARTMAP neural network which is combined with two fuzzy ART modules is trained and tested with these feature vectors. The experiments include 4 aircrafts and 4 industrial parts recognition process are presented to illustrate the high performance of this proposed method in the ion problems of noisv shapes.

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Development of Digital Endoscopic Image Processing System (디지탈 내시경 영상처리 시스템의 개발)

  • 송철규;이영묵
    • Journal of Biomedical Engineering Research
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    • v.18 no.2
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    • pp.121-126
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    • 1997
  • Endoscopy has become a crucial diagnostic and therapeutic procedure in clinical areas. Over the past three years, we have developed a computerized system to record and store clinical data pertaining to endoscopic surgery of laparascopic cholecystectomy, pelviscopic endometriosis, and surgical arthroscopy. In this study, we developed a computer system, which is composed of a frame yabber, a sound board, a VCR control board, a LAN card and EDMS(endoscopic data management software. Also, computer system has controled peripheral instruments such as a color video printer, a video cassette recorder, and endoscopic input/output signals(image and doctor's comment). Digital endoscopic data management system is based on open architecture and a set of widely available industry standards, namely: windows 3.1 as a operating system, TCP/IP as a network protocol and a time sequence based database that handles both images and doctor's cotnments. For the purpose of data storage, we used MOD and CD-R. Digital endoscopic system was designed to be able to store, recreate, change, and compress signals and medical images.

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Hand Gesture Recognition using DP Matching from USB Camera Video (USB 카메라 영상에서 DP 매칭을 이용한 사용자의 손 동작 인식)

  • Ha, Jin-Young;Byeon, Min-Woo;Kim, Jin-Sik
    • Journal of Industrial Technology
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    • v.29 no.A
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    • pp.47-54
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    • 2009
  • In this paper, we proposed hand detection and hand gesture recognition from USB camera video. Firstly, we extract hand region extraction using skin color information from a difference images. Background image is initially stored and extracted from the input images in order to reduce problems from complex backgrounds. After that, 16-directional chain code sequence is computed from the tracking of hand motion. These chain code sequences are compared with pre-trained models using DP matching. Our hand gesture recognition system can be used to control PowerPoint slides or applied to multimedia education systems. We got 92% hand region extraction accuracy and 82.5% gesture recognition accuracy, respectively.

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