• 제목/요약/키워드: 3-dimension image processing

검색결과 71건 처리시간 0.019초

3차원 영상처리를 이용한 안면마비 평가시스템 개발 (Development of Facial Palsy Grading System with Three Dimensional Image Processing)

  • 장민;신상훈
    • 재활복지공학회논문지
    • /
    • 제9권2호
    • /
    • pp.129-135
    • /
    • 2015
  • 본 연구에서는 3차원 영상처리와 노팅험 스케일을 이용하여 안면마비 평가 시스템을 개발하였다. 시스템은 측정부, 영상처리부, 연산부, 그리고 안면마비 평가 및 출력부로 구성되어 있다. 두 개의 웹캠을 사용하여 안면부의 8곳에 부착된 마커의 3차원 위치를 계산하였으며, 이를 이용하여 노팅험 스케일을 계산하고 화면에 보여준다. 피험자의 자세변화와 측정방식이 노팅험 스케일에 미치는 영향을 조사하였다. 측정방식은 2차원과 3차원을 비교하였으며, 피험자자세는 정면응시와 $11^{\circ}$ 측면응시를 비교하였다. 측면응시한 피험자를 2차원 방식으로 측정한 경우의 오차가 가장 컸다. 3차원 측정방식이 피험자의 자세변화에 따른 오차에 가장 덜 민감하였다.

  • PDF

영상처리에 의한 식물체의 형상분석 (Analysis of Plants Shape by Image Processing)

  • 이종환;노상하;류관희
    • Journal of Biosystems Engineering
    • /
    • 제21권3호
    • /
    • pp.315-324
    • /
    • 1996
  • This study was one of a series of studies on application of machine vision and image processing to extract the geometrical features of plants and to analyze plant growth. Several algorithms were developed to measure morphological properties of plants and describing the growth development of in-situ lettuce(Lactuca sativa L.). Canopy, centroid, leaf density and fractal dimension of plant were measured from a top viewed binary image. It was capable of identifying plants by a thinning top viewed image. Overlapping the thinning side viewed image with a side viewed binary image of plant was very effective to auto-detect meaningful nodes associated with canopy components such as stem, branch, petiole and leaf. And, plant height, stem diameter, number and angle of branches, and internode length and so on were analyzed by using meaningful nodes extracted from overlapped side viewed images. Canopy, leaf density and fractal dimension showed high relation with fresh weight or growth pattern of in-situ lettuces. It was concluded that machine vision system and image processing techniques are very useful in extracting geometrical features and monitoring plant growth, although interactive methods, for some applications, were required.

  • PDF

Efficient Face Recognition using Low-Dimensional PCA: Hierarchical Image & Parallel Processing

  • Song, Young-Jun;Kim, Young-Gil;Kim, Kwan-Dong;Kim, Nam;Ahn, Jae-Hyeong
    • International Journal of Contents
    • /
    • 제3권2호
    • /
    • pp.1-5
    • /
    • 2007
  • This paper proposes a technique for principal component analysis (PCA) to raise the recognition rate of a front face in a low dimension by hierarchical image and parallel processing structure. The conventional PCA shows a recognition rate of less than 50% in a low dimension (dimensions 1 to 6) when used for facial recognition. In this paper, a face is formed as images of 3 fixed-size levels: the 1st being a region around the nose, the 2nd level a region including the eyes, nose, and mouth, and the 3rd level image is the whole face. PCA of the 3-level images is treated by parallel processing structure, and finally their similarities are combined for high recognition rate in a low dimension. The proposed method under went experimental feasibility study with ORL face database for evaluation of the face recognition function. The experimental demonstration has been done by PCA and the proposed method according to each level. The proposed method showed high recognition of over 50% from dimensions 1 to 6.

Facial Expression Recognition Method Based on Residual Masking Reconstruction Network

  • Jianing Shen;Hongmei Li
    • Journal of Information Processing Systems
    • /
    • 제19권3호
    • /
    • pp.323-333
    • /
    • 2023
  • Facial expression recognition can aid in the development of fatigue driving detection, teaching quality evaluation, and other fields. In this study, a facial expression recognition method was proposed with a residual masking reconstruction network as its backbone to achieve more efficient expression recognition and classification. The residual layer was used to acquire and capture the information features of the input image, and the masking layer was used for the weight coefficients corresponding to different information features to achieve accurate and effective image analysis for images of different sizes. To further improve the performance of expression analysis, the loss function of the model is optimized from two aspects, feature dimension and data dimension, to enhance the accurate mapping relationship between facial features and emotional labels. The simulation results show that the ROC of the proposed method was maintained above 0.9995, which can accurately distinguish different expressions. The precision was 75.98%, indicating excellent performance of the facial expression recognition model.

코팅 조건에 따른 BST 박막의 표면 이미지 특성 (The Surface Image Properties of BST Thin Film by Depositing Conditions)

  • 홍경진;기현철;오수홍;조재철
    • 한국전기전자재료학회:학술대회논문집
    • /
    • 한국전기전자재료학회 2002년도 춘계학술대회 논문집 센서 박막재료 반도체재료 기술교육
    • /
    • pp.107-110
    • /
    • 2002
  • The optical memory devices of BST thin films to composite $(Ba_{0.7}\;Sr_{0.3})TiO_{3}$ using sol-gel method were fabricated by changing of the depositing layer number on $Pt/Ti/SiO_{2}/Si$ substrate. The structural properties of optical memory devices to be ferroelectric was investigated by fractal analysis and 3-dimension image processing. The thickness of BST thin films at each coating numbers 3, 4 and 5 times was $2500[\AA]$, $3500[\AA]$ and $3800[\AA]$. BST thin films exhibited the most pronounced grain growth. The surface morphology image was roughness with coating numbers. The thin films increasing with coating numbers shows a more textured and complex configuration.

  • PDF

Fractal Dimension for Morphology Analysis of Rubbed Surface with Hydraulic Members

  • Cho, Yon-Sang;Seo, Young-Baek;Park, Heung-Sik
    • KSTLE International Journal
    • /
    • 제3권2호
    • /
    • pp.75-78
    • /
    • 2002
  • The surface morphology of oil-lubricated surfaces fer hydraulic piston motors is believed to be extremely effective in contact mechanics, adhesion, friction and weak In order to describe morphology of various rubbed surfaces on driving conditions, the wear test was carried out under different experimental conditions in an oil-lubricated system. And fractal descriptors were applied to rubbed surfaces of hydraulic members and analyzed through an image processing system. These descriptors to analyze surface structure are fractal dimension. Surface fractal dimensions can be determined by sum of intensity difference of surface pixel. The morphology of rubbed surfaces can be effectively obtained by fractal dimension.

FREE VIEWPOINT IMAGE RECONSTRUCTION FROM 3-D MULTI-FOCUS IMAGING SEQUENCES AND ITS IMPLEMENTATION BY CELL-BASED COMPUTING

  • Yonezawayz, Hiroki;Kodamay, Kazuya;Hamamotoz, Takayuki
    • 한국방송∙미디어공학회:학술대회논문집
    • /
    • 한국방송공학회 2009년도 IWAIT
    • /
    • pp.751-754
    • /
    • 2009
  • This paper deals with the Cell-based distributed processing for generating free viewpoint images by merging multiple differently focused images. We previously proposed the method of generating free viewpoint images without any depth estimation. However, it is not so easy to realize real-time image reconstruction based on our previous method. In this paper, we discuss the method to reduce the processing time by dimension reduction for image filtering and Cell-based distributed processing. Especially, the method of high-speed image reconstruction by the Cell processor on SONY PLAYSTATION3(PS3) is described in detail. We show some experimental results by using real images and we discuss the possibility of real-time free viewpoint image reconstruction.

  • PDF

비전 시스템을 이용한 AGV의 차선인식 및 장애물 위치 검출에 관한 연구 (A Study on Detection of Lane and Situation of Obstacle for AGV using Vision System)

  • 이진우;이영진;이권순
    • 한국항만학회지
    • /
    • 제14권3호
    • /
    • pp.303-312
    • /
    • 2000
  • In this paper, we describe an image processing algorithm which is able to recognize the road lane. This algorithm performs to recognize the interrelation between AGV and the other vehicle. We experimented on AGV driving test with color CCD camera which is setup on the top of vehicle and acquires the digital signal. This paper is composed of two parts. One is image preprocessing part to measure the condition of the condition of the lane and vehicle. This finds the information of lines using RGB ratio cutting algorithm, the edge detection and Hough transform. The other obtains the situation of other vehicles using the image processing and viewport. At first, 2 dimension image information derived from vision sensor is interpreted to the 3 dimension information by the angle and position of the CCD camera. Through these processes, if vehicle knows the driving conditions which are lane angle, distance error and real position of other vehicles, we should calculate the reference steering angle.

  • PDF

영상처리기술에 의한 핵연료봉의 제원 측정 (Dimension Measurement of Nuclear Fuel Rods Using an Image Processing Technology)

  • 구대서;민덕기;유길성;신희성;홍권표
    • 비파괴검사학회지
    • /
    • 제19권2호
    • /
    • pp.79-84
    • /
    • 1999
  • 영상처리 방법에 의한 핵연료봉의 제원을 측정하기 위하여 영상처리 소프트웨어를 개발하고 핵연료봉의 직경을 측정하였다. 카메라와 시험체간의 거리, 카메라 위치, 조명세기 및 조명종류와 같은 요소가 핵연료봉 제원 측정에 영향을 미침을 확인하였다. 영상처리 방법에 의한 핵연료봉 직경의 백분율 측정 상대오차는 4.88%이고 백분율 측정 표준편차는 ${\pm}3.34%$였다. 한편 영상처리 방법이 아닌 기존 방법에 의한 백분율 측정 상대오차는 12.77%이고 백분율 측정 표준편차는 ${\pm}9.72%$였으며, 영상처리 방법에 의한 직경 측정 정확도가기존 방법에 의한 결과보다 약 3배정도 향상되었다.

  • PDF

Digital moire 형상측정 시스템의 보정에 관한 연구 (A Study on the Calibration of Shape Measurement System Using Digital moire)

  • 김도훈;유원재;박낙규;강영준
    • 한국공작기계학회:학술대회논문집
    • /
    • 한국공작기계학회 2003년도 춘계학술대회 논문집
    • /
    • pp.255-259
    • /
    • 2003
  • Moire topography method isa well-known non-contacting 3-D measurement method as afast non-contact test for three-dimension shape measuring method. Recently, it's important to study the automatic three-dimension measurement by moire topography because it is frequently applied to the reverse engineering , the medical , the entertainment fields. Three-dimension measurement using projection of moire topography is very attractive because of its high measuring speed and high sensitivity. In this paper, the classical moire method is computerized-so called digital moire when a virtual grating pattern is projected on a surface, the captured image by the CCD camera has three-dimension information of the objects. The moire image can be obtained through a simple image processing and a reference grating pattern. and it provides similar results without physical grating pattern. digital projection moire topography turn out to be very effective for the three-dimension measurement of objects. Using different N-bucket algorithm method of digital projection moire topography is tested to measuring object with the 2-ambiguity problem. Experimental results prove that the proposed scheme is capable of finding measurement errors that decreased more by using the four-three step algorithm method instead of the same step in the phase shifting of different pitch.

  • PDF