• Journal of the Korea Computer Graphics Society
• /
• v.8 no.1
• /
• pp.13-20
• /
• 2002

Recently, there is a great demand for artificial teeth prostheses made of the materials which are sintered at $1500^{\circ}C$ such as zirconia ceramic. Since degree of strength of the materials is very high, however, it is very difficult for technicians to manually fabricate the prostheses for these ceramics. So the prostheses have been fabricated by using CNC(computer numerical control) machines. In doing them by using CNC, it is very important that the prostheses satisfying dentists's requirements are accurately modeled into 3D objects. In this paper, we propose an effective method for modeling single cores such as single caps and Conus cores, which are the main those of artificial teeth prostheses. And we also present the visual examples of 3D models for these single cores modeled by the proposed methods. In special, the method has used Minkowski sum and ZMap for modeling the single cores.

• Journal of Biosystems Engineering
• /
• v.17 no.1
• /
• pp.65-78
• /
• 1992

When using a computer vision system for a measurement, the geometrically distorted input image usually restricts the site and size of the measuring window. A geometrically distorted image caused by the image sensing and processing hardware degrades the accuracy of the visual measurement and prohibits the arbitrary selection of the measuring scope. Therefore, an image calibration is inevitable to improve the measuring accuracy. A calibration process is usually done via four steps such as measurement, modeling, parameter estimation, and compensation. In this paper, the efficient error calibration technique of a geometrically distorted input image was developed using a neural network. After calibrating a unit pixel, the distorted image was compensated by training CMLAN(Cerebellar Model Linear Associator Network) without modeling the behavior of any system element. The input/output training pairs for the network was obtained by processing the image of the devised sampled pattern. The generalization property of the network successfully compensates the distortion errors of the untrained arbitrary pixel points on the image space. The error convergence of the trained network with respect to the network control parameters were also presented. The compensated image through the network was then post processed using a simple DDA(Digital Differential Analyzer) to avoid the pixel disconnectivity. The compensation effect was verified using known sized geometric primitives. A way to extract directly a real scaled geometric quantity of the object from the 8-directional chain coding was also devised and coded. Since the developed calibration algorithm does not require any knowledge of modeling system elements and estimating parameters, it can be applied simply to any image processing system. Furthermore, it efficiently enhances the measurement accuracy and allows the arbitrary sizing and locating of the measuring window. The applied and developed algorithms were coded as a menu driven way using MS-C language Ver. 6.0, PC VISION PLUS library functions, and VGA graphic functions.

• Journal of the Korea Computer Graphics Society
• /
• v.3 no.2
• /
• pp.27-34
• /
• 1997

3-D image modeling is in high demand for automated visual inspection and non-destructive testing. It also can be useful in biomedical research, medical therapy, surgery planning, and simulation of critical surgery (i.e. cranio-facial). Image processing and image analysis are used to enhance and classify medical volumetric data. Analyzing medical volumetric data is very difficult In this paper, we propose a new image modeling method based on tetrahedrization to improve the visualization of three-dimensional medical volumetric data. In this method, the trivariate piecewise linear interpolation is applied through the constructed tetrahedral domain. Also, visualization methods including iso-surface, color contouring, and slicing are discussed. This method can be useful to the correct and speedy analysis of medical volumetric data, because it doesn't have the ambiguity problem of Marching Cubes algorithm and achieves the data reduction. We expect to compensate the degradation of an accuracy by using an adaptive sub-division of tetrahedrization based on least squares fitting.

• Journal of Computing Science and Engineering
• /
• v.2 no.1
• /
• pp.98-108
• /
• 2008

Terrain reconstruction from images is an ill-posed, yet commonly desired Structure from Motion task when compositing visual effects into live-action photography. These surfaces are required for choreography of a scene, casting physically accurate shadows of CG elements, and occlusions. We present a novel framework for generating the geometry of landscapes from extremely noisy point cloud datasets obtained via limited resolution techniques, particularly optical flow based vision algorithms applied to live-action video plates. Our contribution is a new statistical approach to remove erroneous tracks ('outliers') by employing a unique combination of well established techniques-including Gaussian Mixture Models (GMMs) for robust parameter estimation and Radial Basis Functions (REFs) for scattered data interpolation-to exploit the natural constraints of this problem. Our algorithm offsets the tremendously laborious task of modeling these landscapes by hand, automatically generating a visually consistent, camera position dependent, thin-shell surface mesh within seconds for a typical tracking shot.

• Proceedings of the Korean Information Science Society Conference
• /
• 1999.10b
• /
• pp.239-241
• /
• 1999

본 연구에서는 인터넷상에서 현실감 있는 가상공간을 저작하는데 필요한 표준언어인 VRML(Virtual Reality Modeling Language)을 사용하여 손쉽고, 에러가 없이 정확하게 가상공간을 구축하기 위하여 시각프로그래밍 기법을 개발하였다. VRML로 정의된 가상공간 속의 물체를 아이콘으로 정의하고 정의된 물체들간의 상호작용을 정의해주는 이벤트(Event)들의 흐름과 그에 따른 물체의 행동을 시각적으로 표현하는 새로운 VRML 프로그래밍 기법을 제안한다. 본 연구에서 제안된 방법을 사용하면 VRML에서의 이벤트 흐름을 정의하는데 있어 직관적인 그래프 형태로 나타낼 수 있어서 VRML 코드 작성과 이해가 용이해지고, 온라인으로 VRMl 코드의 형식을 점검해주므로 에러 없는 VRML 코드를 작성하기가 쉬워진다. 그러므로 VRML 프로그래머의 생산성이 증가하고 제작된 인터넷 가상공간의 정확도와 신뢰도가 향상될 것으로 기대된다.

• The Research Journal of the Costume Culture
• /
• v.17 no.3
• /
• pp.459-471
• /
• 2009

The purpose of the study is to examine the effect of VMD image appropriateness in apparel shopping contexts. Two competing models are utilized. The first model is developed from the emotion-cognition theory which explains that environmental cues(i.e., VMD image appropriateness) generate consumers' emotion, and in turn, consumers' behaviors. The second model is developed based on the cognitive theory of emotions and posits that environmental cues stimulates consumers' cognitive perceptions of retail environments, subsequently influencing consumers' emotional and behavioral response. A 2(VMD image appropriateness: high vs. low) between-subjects factorial design experiment was conducted. Female college students(n=592) participated in the experiment. Using structural equation modeling the study found that the emotion-cognition model better explains the effect of VMD image appropriateness on consumers' emotional, cognitive, and behavioral responses.

• Journal of the Ergonomics Society of Korea
• /
• v.20 no.1
• /
• pp.87-113
• /
• 2001

This study introduces the concept of image/impression of a product design, human interface elements, and the relationships between them. It is assumed that the human interface can be decomposed into detailed design elements, called human interface elements. This study attempts to build functional relationships between the image/impression of a product and human interface elements. Two different human factors experiments were conducted to demonstrate the effectiveness of the approach suggested in this study. A total of 35 audio/visual consumer electronics products (e.g., CD players, VCRs) were shown on a display screen and the subjects were instructed to evaluate them in terms of eight image/impression dimensions. One experiment was conducted using Korean subjects while the other using American subjects. The functional relationships were modeled by using the multiple linear regression technique. Similarity and difference between the Korean and the American subjects were analyzed. The approach suggested in this study is expected to help designers and developers identify important design variables to enhance the subjective satisfaction of a product design.

• International Journal of Fuzzy Logic and Intelligent Systems
• /
• v.16 no.2
• /
• pp.104-110
• /
• 2016

Dense local image descriptors like SIFT are fruitful for capturing salient information about image, shown to be successful in various image-related tasks when formed in bag-of-words representation (i.e., histograms). In this paper we consider to utilize these dense local descriptors in the object tracking problem. A notable aspect of our tracker is that instead of adopting a point estimate for the target model, we account for uncertainty in data noise and model incompleteness by maintaining a distribution over plausible candidate models within the Bayesian framework. The target model is also updated adaptively by the principled Bayesian posterior inference, which admits a closed form within our Dirichlet prior modeling. With empirical evaluations on some video datasets, the proposed method is shown to yield more accurate tracking than baseline histogram-based trackers with the same types of features, often being superior to the appearance-based (visual) trackers.

• ETRI Journal
• /
• v.36 no.3
• /
• pp.450-459
• /
• 2014

In this paper, we present a new, easy-to-generate system that is capable of creating virtual 3D tree models and simulating a variety of growth processes of a tree from a single, real tree image. We not only construct various tree models with the same trunk through our proposed digital image matting method and skeleton-based abstraction of branches, but we also animate the visual growth of the constructed 3D tree model through usage of the branch age information combined with a scaling factor. To control the simulation of a tree growth process, we consider tree-growing attributes, such as branching orders, branch width, tree size, and branch self-bending effect, at the same time. Other invisible branches and leaves are automatically attached to the tree by employing parametric branch libraries under the conventional procedural assumption of structure having a local self-similarity. Simulations with a real image confirm that our system makes it possible to achieve realistic tree models and growth processes with ease.

• Proceedings of the Korean Society of Precision Engineering Conference
• /
• 2002.05a
• /
• pp.591-594
• /
• 2002

In this study, we develop automatic design program, which create 3D model of spur gear and helical gear used VisualLISP and create helical gear in the CATIA using 2D profile of gear. This model become the standard models which give not only in itself mold information but also compare processed product with measuring date. Spur gear require mathematical examination of involute curve and trocoidal fillet curve. Automatic design program, which have a mathematical development create the profile of spur gear.