• Journal of Institute of Control, Robotics and Systems
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• v.22 no.3
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• pp.186-191
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• 2016

This paper addresses the development of 3D data acquisition system (3D scanner) based laser structured-light image. The 3D scanner consists of a stripe laser generator, a conventional camera, and a rotation table. The stripe laser onto an object has distortion according to 3D shape of an object. By analyzing the distortion of the laser stripe in a camera image, the scanner obtains a group of 3D point data of the object. A simple semiconductor stripe laser diode is adopted instead of an expensive LCD projector for complex structured-light pattern. The camera has an optical filter to remove illumination noise and improve the performance of the distance measurement. Experimental results show the 3D data acquisition performance of the scanner with less than 0.2mm measurement error in 2 minutes. It is possible to reconstruct a 3D shape of an object and to reproduce the object by a commercially available 3D printer.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2010.06a
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• pp.362-362
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• 2010

최근 반도체 산업은 지속적인 design rule 감소로 인해 미세 pattern 공정이 요구되고 있으며, 그 중 photo lithography 공정의 scanner overlay margin 확보가 시급하게 되었다. 본 연구는 scanner 장비의 overlay 능력 개선 item 발굴에 관한 연구로서 6개월간 해당 장비에 대해 overlay monitor를 평가하여 scanner의 기계적 요소가 주는 overlay 영향 기인성 최악의 다섯 가지 budget item을 도출하였다. 본 연구를 통해 도출 된 최악의 다섯 가지 budget item(chuck 간 생김 정도 오차, chuck 간편차, chuck 간 mirror 생길 정도 오차, stage 정확성, 마스크 정렬) 성분들을 monitoring 함으로써 overlay 향상에 크게 기여할 것으로 예상한다.

• Journal of the Korean Institute of Intelligent Systems
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• v.22 no.6
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• pp.748-753
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• 2012

In this paper, Face recognition algorithm is designed based on optimized pRBFNNs pattern classifier using three-dimensional scanner. Generally two-dimensional image-based face recognition system enables us to extract the facial features using gray-level of images. The environmental variation parameters such as natural sunlight, artificial light and face pose lead to the deterioration of the performance of the system. In this paper, the proposed face recognition algorithm is designed by using three-dimensional scanner to overcome the drawback of two-dimensional face recognition system. First face shape is scanned using three-dimensional scanner and then the pose of scanned face is converted to front image through pose compensation process. Secondly, data with face depth is extracted using point signature method. Finally, the recognition performance is confirmed by using the optimized pRBFNNs for solving high-dimensional pattern recognition problems.

• Journal of the Korean Society of Clothing and Textiles
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• v.29 no.8 s.145
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• pp.1114-1124
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• 2005

The purpose of the paper is to find the elements of jacket pattern far the obese women who went to slenderize their shape by optical illusion. Representative four subjects participated in wear tests. Subjective evaluation of the visual appearance we collected and, at the same time, 3D clothing air volume was observed for the four types of experimental jackets. As results it was found that narrower shoulder width, back upper width, and front waist width resulted in slender look, however, back abdomen width and front shoulder length induced more slender appearance in waist area. The result of the distance between clothing and skin measured by 3D scanner clearly demonstrated the distribution of ease due to the elements of pattern, which is useful to find the pattern variables responsible for the slender appearance of the obese women.

• The Research Journal of the Costume Culture
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• v.10 no.6
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• pp.709-717
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• 2002

In the apparel industry, the technology has been advanced rapidly. The use of 3D scanning systems fur the capture and measurement of human body is becoming common place. Three dimensional digital image can be used for design, inspection, reproduction of physical objects. The purpose of this study is to develop a method that drafts men's basic bodice pattern from scanned 3D body surface shape data. In order to pursue this purpose the researchers developed pattern drafting algorithm. The 3D scanner used in this study was Cyberware Whole Body Scanner WB-4. The bodice pattern drafting algorithm from 3D body surface shape data developed in this study is as follows. First, convert geometric 3D body surface data to 3D polygonal mesh data. Second, develop algorithm to lay out 3D polygonal patches onto a plane using Auto Lisp program. The polygon meshes are coplanar, and the individual mesh is continuously in contact with next one The bodice front surface shape data in polygonal patches form was lined up in bust and waist levels. The back bodice was drafted by lining up the polygonal mesh in scapula, chest, and waist levels. in the drafts, gaps between polygons were formed into the darts.

• Proceedings of the Korea Society of Information Technology Applications Conference
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• 2005.11a
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• pp.173-176
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• 2005

This paper proposes a fuzzy correction algorithm that can correct the distorted medical image caused by the scanning nonlinear velocity of the Digital X-ray Scanner System (DX-Scanner) using the Multichannel Ionization Chamber (MIC). In the DX-Scanner, the scanned medical image is distorted for reasons of unsuitable integration time at the nonlinear acceleration period of the AC servo motor during the inspection of patients. The proposed algorithm finds the nonlinear motor velocity modeling through fuzzy system by clustering and reconstructs the normal medical image lines by calculating the suitable moving distance with the velocity of the motor using the modeling, acceleration time and integration time. In addition, several image processing is included in the algorithm. This algorithm analyzes exact pixel lines by comparing the distance of the acceleration period with the distance of the uniform velocity period in every integration time and is able to compensate for the velocity of the acceleration period. By applying the proposed algorithm to the test pattern for checking the image resolution, the effectiveness of this algorithm is verified. The corrected image obtained from distorted image is similar to the normal and better image for a doctor's diagnosis.

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.65 no.3
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• pp.224-234
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• 2016

This study developed the conductivity pattern of solid surface using laser direct pattern and compound polymer material technology. For development direct patterning system of solid surface, we used the laser power stabilizer, the dynamic focusing, 3D scanner S/W and the auto aligning techniques. Also For conductivity pattern, we are developed compound polymer material with additive by electro-less plating. These technologies are already used commercially. However operation and control integrated system for direct patterning of solid surface are not yet developed. The objective of this paper is to introduce the laser direct structuring for simple process improvement instead complex PCB process, and develop the operating stability and integration system. Also we implemented new application of laser direct structuring through sample manufacture.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2013.05a
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• pp.1267-1268
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• 2013

• The Journal of Advanced Prosthodontics
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• v.9 no.6
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• pp.409-415
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• 2017

PURPOSE. Accurate information is essential in dentistry. The image information of missing teeth is used in optically based medical equipment in prosthodontic treatment. To evaluate oral scanners, the standardized model was examined from cases of image recognition errors of linear discriminant analysis (LDA), and a model that combines the variables with reference to ISO 12836:2015 was designed. MATERIALS AND METHODS. The basic model was fabricated by applying 4 factors to the tooth profile (chamfer, groove, curve, and square) and the bottom surface. Photo-type and video-type scanners were used to analyze 3D images after image capture. The scans were performed several times according to the prescribed sequence to distinguish the model from the one that did not form, and the results confirmed it to be the best. RESULTS. In the case of the initial basic model, a 3D shape could not be obtained by scanning even if several shots were taken. Subsequently, the recognition rate of the image was improved with every variable factor, and the difference depends on the tooth profile and the pattern of the floor surface. CONCLUSION. Based on the recognition error of the LDA, the recognition rate decreases when the model has a similar pattern. Therefore, to obtain the accurate 3D data, the difference of each class needs to be provided when developing a standardized model.

• The Journal of Korean Medicine
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• v.27 no.2 s.66
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• pp.244-252
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• 2006

Objectives : To examine any potential relationships between the types of alopecia and the facial heat distribution in patients with alopecia. Methods : 183 patients with alopecia participated in this study to provide facial heat distribution measured by the Infrared Thermography Scanner (ITS, Nec San-ei Instruments Ltd, Japan). The thermography scan was used in a light- and heat-protected room after 20 minutes' of rest. 1.5m of distance was maintained between the patients and the scanner. Results : Specificity in the type of facial heat distribution was found as follow. 1. Types of facial heat distribution can be classified as T-type and diffused patterns. 2. There was a significant difference in the pattern of facial heat distribution among different types of alopecia (p=0.002): facial heat distribution appeared T-type in androgenic alopecia, alopecia areata, and telogen effluvium (71.3%, 85.7%, 70.4%), whereas diffused pattern was dominant in seborrheic alopecia (55.6%). 3. There was a significant difference in the pattern of facial heat distribution between men and women (p<0.001) : While the T-type and diffused type appeared equally in men (50.6% : 49.4%), T-type was dominant in women (88.0% vs. 12.0%). Conclusions : We conclude that the pattern of facial heat distribution differs depending on the types of alopecia and gender. These differences may provide useful information for diagnosis and clinical therapy for this population.