• The Journal of Korean Institute of Next Generation Computing
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• v.15 no.4
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• pp.40-50
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• 2019

In recent years, it is important to visualize an accurate human body model for the low-end system in the medical imaging field where augmented reality technology and virtual reality technology are used. Decreasing the geometry of a model causes a difference from the original shape and considers the difference as an error. So, the error should be minimized while reducing geometry. In this study, the organ areas of a human body in the tomographic images such as CT or MRI is segmented and 3D geometric model is generated, thereby implementing the reconstruction method of multiple resolution level-of-detail model. In the experiment, a virtual reality platform was constructed to verify the shape of the reconstructed model, targeting the spine area. The 3D human body model and patient information can be verified using the virtual reality platform.

• The KIPS Transactions:PartB
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• v.18B no.2
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• pp.51-56
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• 2011

Algorithms for intrinsic images reduce color differences in RGB images caused by the temperature of black-body radiators. Based on the reference light and detecting single invariant direction, these algorithms are weak in real images which can have multiple invariant directions when the scene illuminant is a colored illuminant. To solve these problems, this paper proposes a method of acquiring an intrinsic image by omnidirectional projection of an ROI and a translation of white patch in the ${\chi}$-chromaticity space. Because it is not easy to analyze an image in the three-dimensional RGB space, the ${\chi}$-chromaticity is also employed without the brightness factor in this paper. After the effect of the colored illuminant is decreased by a translation of white patch, an invariant direction is detected by omnidirectional projection of an ROI in this chromaticity space. In case the RGB image has multiple invariant directions, only one ROI is selected with the bin, which has the highest frequency in 3D histogram. And then the two operations, projection and inverse transformation, make intrinsic image acquired. In the experiments, test images were four datasets presented by Ebner and evaluation methods was the follows: standard deviation of the invariant direction, the constancy measure, the color space measure and the color constancy measure. The experimental results showed that the proposed method had lower standard deviation than the entropy, that its performance was two times higher than the compared algorithm.

• Journal of Korea Multimedia Society
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• v.11 no.9
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• pp.1296-1301
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• 2008

Ultrasonography constructs pictures of areas inside the body needs in diagnosis by bouncing high-enorgy sound waves(ultrasound) off internal tissues or organs. In constructing an ultrasonographic image, the weakness of bounding signals induces noises and detailed differences of brightness, so that having a difficulty in detecting and diagnosing with the naked eyes in the analysis of ultrasonogram. Especially, the difficulty is extended when diagnosing muscle areas by using ultrasonographic images in the musculoskeletal test. In this paper, we propose a novel image processing method that computationally extracts a muscle area from an ultrasonographic image to assist in diagnosis. An ultrasonographic image consists of areas corresponding to various tissues and internal organs. The proposed method, based on features of intensity distribution, morphology and size of each area, extracts areas of the fascia, the subcutaneous fat and other internal organs, and then extracts a muscle area enclosed by areas of the fascia. In the extraction of areas of the fascia, a series of image processing methods such as histogram stretching, multiple operation, binarization and area connection by labeling is applied. A muscle area is extracted by using features on relative position and morphology of areas for the fascia and muscle areas. The performance evaluation using real ultrasonographic images and specialists' analysis show that the proposed method is able to extract target areas being approximate to real muscle areas.

• Journal of the Korean Applied Science and Technology
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• v.37 no.6
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• pp.1575-1582
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• 2020

This study aimed to provide basic data for establishing advertising strategy based on the value and implications of the image of the player by examining the influence of the image of a soccer player on the advertising effect. Therefore, a domestic soccer player selected as a sample the production population who experienced the advertisement selected as a model, and conducted a face-to-face (face-to-face) and non-face-to-face (mobile) survey for about 5 months from May 1 to September 30, 2020. Data from a total of 402 people were used for the final analysis. For data processing, frequency analysis, internal consistency and exploratory factor analysis, correlation analysis, and multiple regression analysis were performed using the SPSS (ver. 21.0) program. The main results of this study are as follows. First, it was found that the soccer player image impact the brand attitude of the advertising effect in the order of body and appearance, performance, reliability, attitude and morality. Second, it was found that the soccer player image impact the advertising attitude of the advertising effect in the order of performance, attitude and morality, body and appearance, reliability.

• The Korean Journal of Health Service Management
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• v.9 no.1
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• pp.157-168
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• 2015

A majority of menopausal women experience serious depressive symptom because they are disturbed by their menstruation stop and by multiple physiological symptoms. The purpose of this study is to analyze the related factors of depressive symptom of menopausal women in Korea. A multiple regression model was used to study in association with depressive symptom, controlling for socio-economic characteristics, health status and behavior characteristics, women's health, and family support characteristics. For the data, Menopausal women were 4,680 peoples were selected for this study. PASW 18.0 was used to study in association with affecting factors of depressive symptom in the menopausal women The study shows that Education level, Marital status, Income, Employment status, Activity limitations, Perceived health status, Perceived body Image recognition, Current smoking, AUDIT, Frequency of induced abortion, Frequency of eating out, Breakfast with family, Lunch with family were associated with depressive symptom of menopausal women in Korea.

• The Journal of the Korea Contents Association
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• v.17 no.1
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• pp.137-144
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• 2017

Face detection is still a challenging task under severe face pose variations in complex background. This paper proposes an effective algorithm which can detect single or multiple faces based on skin color detection and depth information. We introduce Gaussian mixture model(GMM) for skin color detection in a color image. The depth information is from three dimensional depth sensor of Kinect V2 device, and is useful in segmenting a human body from the background. Then, a labeling process successfully removes non-face region using several features. Experimental results show that the proposed face detection algorithm can provide robust detection performance even under variable conditions and complex background.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.4
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• pp.2075-2092
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• 2017

Person re-identification is to match pedestrians observed from non-overlapping camera views. It has important applications in video surveillance such as person retrieval, person tracking, and activity analysis. However, it is a very challenging problem due to illumination, pose and viewpoint variations between non-overlapping camera views. In this work, we propose a viewpoint invariant method for matching pedestrian images using orientation of pedestrian. First, the proposed method divides a pedestrian image into patches and assigns angle to a patch using the orientation of the pedestrian under the assumption that a person body has the cylindrical shape. The difference between angles are then used to compute the similarity between patches. We applied the proposed method to real-time global multi-object tracking across multiple disjoint cameras with non-overlapping field of views. Re-identification algorithm makes global trajectories by connecting local trajectories obtained by different local trackers. The effectiveness of the viewpoint invariant method for person re-identification was validated on the VIPeR dataset. In addition, we demonstrated the effectiveness of the proposed approach for the inter-camera multiple object tracking on the MCT dataset with ground truth data for local tracking.

• Journal of Korea Society of Industrial Information Systems
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• v.25 no.5
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• pp.41-48
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• 2020

Recently, as the demand for the mobile platform market in the virtual/augmented/mixed reality field is increasing, experiential content that gives users a real-world felt through a virtual environment is drawing attention. In this paper, as a method of tracking a tracker for user location estimation in a virtual space movement platform for motion capture of trainees, we present a method of estimating 3D coordinates of the 3D cross covariance through the coordinates of the markers projected on the image. In addition, the validity of the proposed algorithm is verified through rigid body tracking experiments.

• Journal of the Korean Society of Costume
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• v.50
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• pp.51-68
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• 2000

This study is intended to examine the common features of costume images in science-fiction (SF) movies that deal with current socio-cultural situations by examining their themes and tones about the future it can be generally concluded that costume images of SF movies are divided into two patterns : one inheriting traditional styles constructed on linear progress and the other based on dismantiling the tradition. this analysis is made through the research of actual cinematic contexts on the common features of multiple styles shaping the two patterns of costume images. The results can be summarized as the following: The former is related with the future built up on the basis of belief in reasonal progress rooted in the Enlightenment reasonable plan for ideal social order and strong faith in uniformity. So It shows functional uniformity disregarding wasteful competitiveness in consumption and luxuriousness and clothing that has the aesthetic value of purity without emphasizing human body or sensuality are presented. On the other hand SF movies which show the uncertain costume image as the meaning of dismantling of tradition take up a rather critical view of assumption that society can move toward utopian future as it searches future images in the notion of hetero-topia by emphasizing pluralism consequently as for clothing diversity and uncertainty in post-modern style are presented destroying modernistic dichotomy and the assumption of Utopian clothing made in the notion of modern progressivism.

• Journal of the Korea Society of Computer and Information
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• v.15 no.4
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• pp.65-74
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• 2010

At the aim of solving the problems appearing in traditional optical motion capturing systems such as the interference among multiple patches and the complexity of sensor and patch allocations, this paper proposes a new motion capturing system which is composed of a single camera and multiple motion sensors. A motion sensor is consisted of an acceleration sensor and a gyro sensor to detect the motion of a patched body and the orientation (roll, pitch, and yaw) of the motion, respectively. Although Image information provides the positions of the patches in 2D, the orientation information of the patch motions acquired by the motion sensors can generate 3D pose of the patches using simple equations. Since the proposed system uses the minimum number of sensors to detect the relative pose of a patch, it is easy to install on a moving body and can be economically used for various applications. The performance and the advantages of the proposed system have been proved by the experiments.