• Journal of KIISE:Software and Applications
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• v.28 no.12
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• pp.947-954
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• 2001

In this paper, we propose a method for the recognition of various head gestures with automata technique applied to the sequence of facial pose states. Facial regions as detected by using the optimum facial color of I-component in YIQ model and the difference of images adaptively selected. And eye regions are extracted by using Sobel operator, projection, and the geometric location of eyes Hierarchical feature analysis is used to classify facial states, and automata technique is applied to the sequence of facial pose states to recognize 13 gestures: Gaze Upward, Downward, Left ward, Rightward, Forward, Backward Left Wink Right Wink Left Double Wink, Left Double Wink , Right Double Wink Yes, and No As an experimental result with total 1,488 frames acquired from 8 persons, it shows 99.3% extraction rate for facial regions, 95.3% extraction rate for eye regions 94.1% recognition rate for facial states and finally 99.3% recognition rate for head gestures. .

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.13 no.4
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• pp.91-97
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• 2013

A finger-gesture remote controller using the single camera is implemented in this paper, which is base on the recognition of finger number and finger moving direction. Proposed method uses the transformed YCbCr color-difference information to extract the hand region effectively. The number and position of finger are computer by using a double circle tracing method. Specially, a user continuous-command can be performed repeatedly by recognizing the finger-gesture direction of single shape. The position information of finger enables a user command to amplify a same command in the User eXperience. Also, all processing tasks are implemented by using the Intel OpenCV library and C++ language. In order to evaluate the performance of the our proposed method, after applying to the commercial video player software as a remote controller. As a result, the proposed method showed the average 89% recognition ratio by the user command-mode.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.37 no.3
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• pp.88-97
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• 2000

This paper presents motion estimation method using region segmentation information Motion estimation which is very difficult to be implemented only by software because of intensive computation cost, is implemented by special-purpose hardware in real-time applications In this paper, we propose region based motion estimation algorithm which can reduce the computation cost by using region segmentation information and setting the variable search window compared with FSMA algorithm Secondly, another proposed algorithm is to segment semantic region like face for selective coding and transfer of semantic region using segmented region information This work alms to improving the subjective quality of skin color region or face region m the picture that has slow motion and IS mainly composed of one or two speakers of video conference and video telephony applications.

• Journal of Technologic Dentistry
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• v.39 no.1
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• pp.1-7
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• 2017

Purpose: The purpose of this in vitro study compared to evaluation of repeatability of scanning abutment tooth stone model and impression applied CAD/CAM ISO standard in dentistry. Methods: To evaluate repeatability of scanning abutment tooth stone model, were repeatedly scanned to obtain 11 data via 3D stereolithography (STL) files. 10 data (STL files) were compared with the first 3D data (STL file), and the error sizes were measured by using 3D superimposing software(n=10). Also, the repeatability of scanning abutment tooth impression was evaluated with the same procedure. Independent t test was performed to evaluate the repeatability of scanning abutment tooth stone model versus impression through root mean square(RMS) and standard deviation(SD)(${\alpha}=0.05$). Results: $RMS{\pm}SD$ with regard to repeatability were $14.7{\pm}2.5{\mu}m$, $17.1{\pm}4.0{\mu}m$, respectively, with scanning abutment tooth stone model and impression(p=0.129). Conclusion: This study results showed a little different repeatability of scanning abutment tooth stone model and impression applied CAD/CAM ISO standard in dentistry, will suggest futures good studies and clinical advantages.

• Journal of Korea Game Society
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• v.14 no.5
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• pp.97-106
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• 2014

This study proposes an efficient method to model various and diverse leaves required to express digital plants such as flowers and trees in virtual landscape easily and intuitively. The proposed procedural method divides a leaf mainly into a blade and vein thereby detecting contours from binary images that correspond to blades and generating leaves by modeling leaf veins procedurally based on the detected contours. First of all, a complicated leaf vein structure is divided into main veins, lateral veins, and tertiary vein while all veins grow procedurally directing from start auxin to destination auxin. Here, to calculate destination auxin required for growth automatically, approximated contours from binary images that correspond to blades are found thereby calculating candidate destination auxin. Finally, natural digital leaves are generated by applying a color combination method. Through the proposed method, natural and various leaves can be generated and whether the proposed method is efficient or not is verified through the experiment.

• The KIPS Transactions:PartD
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• v.19D no.1
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• pp.39-48
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• 2012

In order to quickly understand which changes of source codes have been made and to perform effective maintenance of a system, it is important to visualize the changed parts. Although there are many works for analyzing software changes, there are few works for visualizing both of the change types and change quantifications for Java based systems. In this paper, we propose a change analysis technique based on class diagram and provide a change visualization technique by using change quantification information. In order to check the structural changes in source codes, source codes are transformed to class diagrams by reverse engineering methods. On the class diagrams, the changes are analyzed and quantified by numbers. Based on the change quantification, the changes are visualized on the class diagram by color spectrum. By using visualization techniques, maintainers can easily recognize the code changes to reduce the cost and time of maintenance.

• Imaging Science in Dentistry
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• v.48 no.1
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• pp.45-49
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• 2018

Purpose: The aim of this study was to evaluate the quantitative strain elastography of tongue carcinoma using intraoral ultrasonography. Materials and Methods: Two patients with squamous cell carcinoma (SCC) who underwent quantitative strain elastography for the diagnosis of tongue lesions using intraoral ultrasonography were included in this prospective study. Strain elastography was performed using a linear 14 MHz transducer (Aplio 300; Canon Medical Systems, Otawara, Japan). Manual light compression and decompression of the tongue by the transducer was performed to achieve optimal and consistent color coding. The variation in tissue strain over time caused by the compression exerted using the probe was displayed as a strain graph. The integrated strain elastography software allowed the operator to place circular regions of interest (ROIs) of various diameters within the elastography window, and automatically displayed quantitative strain (%) for each ROI. Quantitative indices of the strain (%) were measured for normal tissues and lesions in the tongue. Results: The average strain of normal tissue and tongue SCC in a 50-year-old man was 1.468% and 0.000%, respectively. The average strain of normal tissue and tongue SCC in a 59-year-old man was 1.007% and 0.000%, respectively. Conclusion: We investigated the quantitative strain elastography of tongue carcinoma using intraoral ultrasonography. Strain elastography using intraoral ultrasonography is a promising technique for characterizing and differentiating normal tissues and SCC in the tongue.

• Journal of Fashion Business
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• v.19 no.5
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• pp.63-76
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• 2015

The purpose of this study was to design a training program for utilization of 3D special makeup mask program. This study was conducted with a 3D computer graphics software program, for special makeup mask using a variety of creative educational models and case study with comparative analysis. The makeup program applied to the majors and liberal arts classes for program design. Inthis study, the selected major courses included ' stage make up ', make up application', and illustrations and color '. Students were required to take a class targeted to questionnaire completion and analysis. The research method included literature search, and Internet navigation, of experimental research. The research targeted select college students attending a 4-year university located in Dae-jeon, Korea. ETRI's "3D mask special makeup simulation program" was used in support. A survey of the study conducted from September 1, 2013, to August 30, 2014, showed a total of 94 additional statistical analyses. First, grade 3 44.6% was attained by 91.7% of the first year student majoring in liberal arts classes, Second, students' in the 3D special dress up mask program Interestingly, attained high recognition in its mastering, usability, and creativity. Furthermore, the major student satisfaction was higher for the '3D special makeup mask program. Third, students '3D special dress up was one of the biggest advantages of the program', the mask ' that models 3D ' faces. In addition, the student's delicate dress called for critical technology skills. It is thought to be suitable for practical training and improving the efficiency and performance if applied to universities and beauty schools, such as the regular high school curriculum through research.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.13 no.3
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• pp.206-211
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• 2020

It is Face recognition is a very important process in image monitoring and it is a form of biometric technology. The recognition process involves many variables and is highly complex, so the software development has only begun recently with the development of hardware. Face detection technology using the CCTV is a process that precedes face analysis, and it is a technique that detects where the face is in the image. Research in face detection and recognition has been difficult because the human face reacts sensitively to different environmental conditions, such as lighting, color of skin, direction, angle and facial expression. The utility and importance of face recognition technology is coming into the limelight over time, but many aspects are being overlooked in the facial area detection technology that must precede face recognition. The system in this paper can detect tilted faces that cannot be detected by the AdaBoost detector and It could also be used to detect other objects.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.7
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• pp.985-992
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• 2018

As a result of the recent development and dissemination of HMD equipment, there has been an increase in the development of virtual reality contents. However most of these developments do not take differences of users' cognitive abilities and users' ability to immerse in and connect to these contents into consideration. In this study, we investigated the effects of visual factors of contents by conducting literature reviews, and conducted research on the correlation between visual factors and Virtual reality presence. While color and spatial factors had significant positive effects on content recognition and sense of reality, motion perception factors caused cognitive dissonance, which negatively effects the accurate recognition of contents. We were able to find that accurate recognition of virtual reality contents have a great impact on users' sense of reality.