• Title/Summary/Keyword: Multi-dimensional image

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Multi-Image Stereo Method Using DEM Fusion Technique (DEM 융합 기법을 이용한 다중영상스테레오 방법)

  • Lim Sung-Min;Woo Dong-Min
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.52 no.4
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    • pp.212-222
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    • 2003
  • The ability to efficiently and robustly recover accurate 3D terrain models from sets of stereoscopic images is important to many civilian and military applications. A stereo matching has been an important tool for reconstructing three dimensional terrain. However, there exist many factors causing stereo matching error, such as occlusion, no feature or repetitive pattern in the correlation window, intensity variation, etc. Among them, occlusion can be only resolved by true multi-image stereo. In this paper, we present multi-image stereo method using DEM fusion as one of efficient and reliable true multi-image methods. Elevations generated by all pairs of images are combined by the fusion process which accepts an accurate elevation and rejects an outlier. We propose three fusion schemes: THD(Thresholding), BPS(Best Pair Selection) and MS(Median Selection). THD averages elevations after rejecting outliers by thresholding, while BPS selects the most reliable elevation. To determine the reliability of a elevation or detect the outlier, we employ the measure of self-consistency. The last scheme, MS, selects the median value of elevations. We test the effectiveness of the proposed methods with a quantitative analysis using simulated images. Experimental results indicate that all three fusion schemes showed much better improvement over the conventional binocular stereo in natural terrain of 29 Palms and urban site of Avenches.

INITIAL GEOMETRIC ACCURACY OF KOMPSAT-2 HIGH RESOLUTION IMAGE

  • Seo, Doo-Chun;Lim, Hyo-Suk;Shin, Ji-Hyeon;Kim, Moon-Gyu
    • Proceedings of the KSRS Conference
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    • v.2
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    • pp.780-783
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    • 2006
  • The KOrea Multi-Purpose Satellite-2 (KOMPSAT-2) was launched in July 2006 and the main mission of the KOMPSAT-2 is a high resolution imaging for the cartography of Korea peninsula by utilizing Multi Spectral Camera (MSC) images. The camera resolutions are 1 m in panchromatic scene and 4 m in multi-spectral imaging. This paper provides an initial geometric accuracy assessment of the KOMPSAT-2 high resolution image without ground control points and briefly introduces the sensor model of KOMPSAT-2. Also investigated and evaluated the obtained 3-dimensional terrain information using the MSC pass image and scene images acquired from the KOMPSAT-2 satellite.

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3DTV System Adaptive to User's Environment (사용자 환경에 적응적인 3DTV 시스템)

  • Baek, Yun-Ki;Choi, Mi-Nam;Park, Se-Whan;Yoo, Ji-Sang
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.32 no.10C
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    • pp.982-989
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    • 2007
  • In this paper, we propose a 3DTV system that considers user's view point and display environment. The proposed system consists of 3 parts - multi-view encoder/decoder, face-tracker, and 2D/3D converter. The proposed system try to encode multi-view sequence and decode it in accordance with the user's view point and it also gives a stereopsis to the multi-view image by using of 2D/3D conversion which converts decoded two-dimensional(2D) image to three-dimensional(3D) image. Experimental results shows that we are able to correctly reconstruct a stereoscopic view that is exactly corresponding to user's view point.

Influence of slice thickness of computed tomography and type of rapid protyping on the accuracy of 3-dimensional medical model (CT절편두께와 RP방식이 3차원 의학모델 정확도에 미치는 영향에 대한 연구)

  • Um Ki-Doo;Lee Byung-Do
    • Imaging Science in Dentistry
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    • v.34 no.1
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    • pp.13-18
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    • 2004
  • Purpose : This study was to evaluate the influence of slice thickness of computed tomography (CT) and rapid protyping (RP) type on the accuracy of 3-dimensional medical model. Materials and Methods: Transaxial CT data of human dry skull were taken from multi-detector spiral CT. Slice thickness were 1, 2, 3 and 4 mm respectively. Three-dimensional image model reconstruction using 3-D visualization medical software (V-works /sup TM/ 3.0) and RP model fabrications were followed. 2-RP models were 3D printing (Z402, Z Corp., Burlington, USA) and Stereolithographic Apparatus model. Linear measurements of anatomical landmarks on dry skull, 3-D image model, and 2-RP models were done and compared according to slice thickness and RP model type. Results: There were relative error percentage in absolute value of 0.97, 1.98,3.83 between linear measurements of dry skull and image models of 1, 2, 3 mm slice thickness respectively. There was relative error percentage in absolute value of 0.79 between linear measurements of dry skull and SLA model. There was relative error difference in absolute value of 2.52 between linear measurements of dry skull and 3D printing model. Conclusion: These results indicated that 3-dimensional image model of thin slice thickness and stereolithographic RP model showed relative high accuracy.

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A Segmentation Technique of Textured Images Using Conditional 1-D Histograms (조건부 1차원 히스토그램을 이용한 Texture 영상 분할)

  • 양형렬;이정환;김성대
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.27 no.4
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    • pp.580-589
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    • 1990
  • This paper describes an efficient method of texture image segmentation based on conditional 1-dimensional histograms. We consider the multi-dimensional histogram, and it is projected into each axis in order to obtain conditional 1-dimensional histograms. And we extract uniform regions by iteratively applying the peak-valley detection method to conditional 1-dimensional histograms. In view of the amount of memory and computation time, the proposed method is superior to the conventional method which uses the multi-dimensional histogram. By applying the proposed method to the artificial and natural texture images some desirable results are obtained.

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A study on N-dimensional quad-tree decomposition

  • Yi, Cheon-Hee;Yi, Jae-Young
    • Journal of the Semiconductor & Display Technology
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    • v.8 no.1
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    • pp.43-48
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    • 2009
  • We have examined the problem of the number of quad-tree blocks that an n-dimensional rectangle will be decomposed into on the average. the contribution of this paper are both practical and theoretical. In this paper, we develops the overlapping multi-scale models and the region quad-tree models which is useful in computer graphics animation, image processing, pattern recognition and also for modeling three dimensional objects. These models, which represent something of a conceptual departure from other models developed for multi-scale framework were developed with the specific interest of producing smooth estimates.

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The Effects of China's Country Image on Korean Consumers' Product Evaluations and Purchase Intentions (중국 국가이미지가 한국소비자의 상품평가 및 구매의도에 미치는 영향)

  • Cui, Ming;Lee, Seung Sin
    • Human Ecology Research
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    • v.51 no.4
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    • pp.455-472
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    • 2013
  • This paper's aim is to explore how China's country image affects the product evaluations and purchase intentions through three major hypothesize. Four hundred eighty-nine Korean adult consumers, who have the purchase experiences of goods made in China before, were invited to take part in this investigation. Data analyses were conducted by reliability test, confirmatory factor analysis and structural equation modeling with SPSS ver. 19.0 and AMOS ver. 18.0. This study focused on multi-dimensional country image and found that China's country image contains 5 elements (people, evolution, politic, economic and culture). Empirical verification through structural equation modeling indicates that the data offer substantial supports, such that China's country image represents the predominant influence on product evaluations and people, evolution, and politic image showed positive effects. Also, China's country image has a positive influence on the product purchase intentions directly (culture image) and indirectly (people, politics, and evolution image) through the product evaluations. Practical implications of findings will be discussed and suggested as follows. First, this study complements the lack of researches on China among the studies regarding country image. Secondly, research results would help us to understand the perception on China's country image of Korean consumers' and to seek the criteria by which consumers evaluate goods made in China. Finally, this research can help Chinese companies to make market strategies effectively when they entering Korean market by exploring the factors which have strong influences on Korean consumers' purchase behaviors.

Laver Farm Feature Extraction From Landsat ETM+ Using Independent Component Analysis

  • Han J. G.;Yeon Y. K.;Chi K. H.;Hwang J. H.
    • Proceedings of the KSRS Conference
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    • 2004.10a
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    • pp.359-362
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    • 2004
  • In multi-dimensional image, ICA-based feature extraction algorithm, which is proposed in this paper, is for the purpose of detecting target feature about pixel assumed as a linear mixed spectrum sphere, which is consisted of each different type of material object (target feature and background feature) in spectrum sphere of reflectance of each pixel. Landsat ETM+ satellite image is consisted of multi-dimensional data structure and, there is target feature, which is purposed to extract and various background image is mixed. In this paper, in order to eliminate background features (tidal flat, seawater and etc) around target feature (laver farm) effectively, pixel spectrum sphere of target feature is projected onto the orthogonal spectrum sphere of background feature. The rest amount of spectrum sphere of target feature in the pixel can be presumed to remove spectrum sphere of background feature. In order to make sure the excellence of feature extraction method based on ICA, which is proposed in this paper, laver farm feature extraction from Landsat ETM+ satellite image is applied. Also, In the side of feature extraction accuracy and the noise level, which is still remaining not to remove after feature extraction, we have conducted a comparing test with traditionally most popular method, maximum-likelihood. As a consequence, the proposed method from this paper can effectively eliminate background features around mixed spectrum sphere to extract target feature. So, we found that it had excellent detection efficiency.

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A 2-D Image Camera Calibration using a Mapping Approximation of Multi-Layer Perceptrons (다층퍼셉트론의 정합 근사화에 의한 2차원 영상의 카메라 오차보정)

  • 이문규;이정화
    • Journal of Institute of Control, Robotics and Systems
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    • v.4 no.4
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    • pp.487-493
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    • 1998
  • Camera calibration is the process of determining the coordinate relationship between a camera image and its real world space. Accurate calibration of a camera is necessary for the applications that involve quantitative measurement of camera images. However, if the camera plane is parallel or near parallel to the calibration board on which 2 dimensional objects are defined(this is called "ill-conditioned"), existing solution procedures are not well applied. In this paper, we propose a neural network-based approach to camera calibration for 2D images formed by a mono-camera or a pair of cameras. Multi-layer perceptrons are developed to transform the coordinates of each image point to the world coordinates. The validity of the approach is tested with data points which cover the whole 2D space concerned. Experimental results for both mono-camera and stereo-camera cases indicate that the proposed approach is comparable to Tsai's method[8]. Especially for the stereo camera case, the approach works better than the Tsai's method as the angle between the camera optical axis and the Z-axis increases. Therefore, we believe the approach could be an alternative solution procedure for the ill -conditioned camera calibration.libration.

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The Analysis of the Image of Kongju City Based on Citizen - Image Positioning by Adjectives of City and Landmarks - (시민의식에 기초한 공주시 도시 이미지 분석 - 도시와 랜드마크의 형용사 이미지 포지셔닝 -)

  • Cheong Yong-Moon;Byeon Jae-Sang
    • Journal of the Korean Institute of Landscape Architecture
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    • v.33 no.3 s.110
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    • pp.18-30
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    • 2005
  • Since the 1990s, with the beginning of local autonomy, most Korean cities have tried to establish and reinforce their own identity. The Law on the Planning and the Use of National Land, which took effect in January 2003, requires major and minor cities to manage and develop a city image and a marketing strategy to reflect their current condition. However, many cities continue to experience confusion in implementing urban landscape planning because no efficient and systematic method has been provided for the analysis of a city's image. The absence of systematic analysis methods makes it difficult not only to assess the current condition of a city accurately but also to choose an appropriate policy for the given city. Consequently, many cities suffer excessive trials and errors in implementing the correct policies for their city. The purpose of this study was to analyze the image: of Kongju, which has many historical properties. For this purpose, adjective questionnaires and multi-dimensional scaling (MDS) were made use of in order to assess the city image. The results of this study can be summarized as follows: 1. There are five properties that serve as landmarts lie symbolize Kongju: Muryeong royal tomb, Castle Kong, Mt. Gyeoiryong, Forest Museum, and Kongju National Museum. 2. Based on the citizen survey regarding the city type, Kongju is seen as a historical and an educational city. 3. Based on the image positioning (image spatial plot), Kongju is described as an old and familiar city. There we, however, no landmarks which are in accord with the image of Kongju. It is difficult to establish and reinforce the image of a city with a single element like a landmark However, with steady follow-up research, this study may serve as a systematic and logical model to improve the urban landscape and image.