• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.10a
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• pp.621-624
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• 2011

Recently, augmented reality is divided into broadly marker based and markerless based as part of HCI (Human Computer Interaction). Markerless based is augmented object using natural features in real-world environment. On the other hand, Marker based is use to calculate easily the coordinates and exactly augmented object using flat marker of rectangular. However, marker-based image is provided due to the presence of the marker in a markerless, giving users a more less realistic and immersive view. In this paper, We research about combined diminished reality and augmented reality for Marker-Based Augmented Reality System Structure using Object Removal Tchnique in order to increase realistic and immersive view.

• The KIPS Transactions:PartB
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• v.14B no.3 s.113
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• pp.171-182
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• 2007

We propose a simple method for tracking a nonparameterized subject contour in a single video stream with a moving camera and changing background. Then we present a method to eliminate the tracked contour object by replacing with the background scene we get from other frame. First we track the object using LOD (Level-of-Detail) canny edge maps, then we generate background of each image frame and replace the tracked object in a scene by a background image from other frame that is not occluded by the tracked object. Our tracking method is based on level-of-detail (LOD) modified Canny edge maps and graph-based routing operations on the LOD maps. We get more edge pixels along LOD hierarchy. Our accurate tracking is based on reducing effects from irrelevant edges by selecting the stronger edge pixels, thereby relying on the current frame edge pixel as much as possible. The first frame background scene is determined by camera motion, camera movement between two image frames, and other background scenes are computed from the previous background scenes. The computed background scenes are used to eliminate the tracked object from the scene. In order to remove the tracked object, we generate approximated background for the first frame. Background images for subsequent frames are based on the first frame background or previous frame images. This approach is based on computing camera motion. Our experimental results show that our method works nice for moderate camera movement with small object shape changes.

• Journal of Korea Multimedia Society
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• v.3 no.5
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• pp.550-556
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• 2000

This paper comes to derive optimal decision rule from incomplete information using the concept of indiscernibility relation and approximation space in Rough set. As there may be some errors in case that processing information contains multiple or missing data, the method of removing or minimizing these data is required. Entropy which is used to measure uncertainty or quantity in information processing field is utilized to remove the incomplete information of rough relation database. But this paper does not always deal with the information system which may be contained incomplete information. This paper is proposed object relation entropy and attribute relation entropy using Rough set as information theoretical measures in order to remove the incomplete information which may contain condition attribute and decision attribute of information system.

• 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.

• Medical Lasers
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• v.10 no.1
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• pp.55-59
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• 2021

A foreign body in the airway can be a potentially life-threatening event. The diagnosis and treatment of foreign bodies in the airway are a challenge for otolaryngologists. Despite the improvements in medical care and public awareness, approximately 3,000 deaths occur each year from foreign body aspiration. A high degree of vigilance is required to ensure prompt treatment and avoid the complications of foreign body aspiration. The author encountered a case of a 77-year-old female patient who had aspirated an unknown foreign body that was fixed in her main bronchus. An initial attempt was made to remove it with a flexible bronchoscope but failed due to the patient's hypoxemic state during the procedure. Under general anesthesia, a rigid bronchoscopic examination was performed, but it was difficult to approach the object due to the bronchus curvature. Instead, a cryotherapy instrument of bronchoscopy was applied. The foreign body was frozen and removed to the carina, where a laryngoscope and laryngeal forceps were used to remove it.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.8 no.4
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• pp.249-256
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• 2015

Shadow is a common physical phenomenon in natural images and may cause problems in computer vision tasks. Therefore, shadow removal is an essential preprocessing process for effective moving object tracking in video image. In this paper, we proposed the method of shadow removal algorithm using chromaticity, brightness distortion and direction of shadow candidate. The proposed method consists of two steps. First, removal process of primary shadow candidate region by using chromaticity, brightness and distortion. The second stage applies the final shadow candidate region to obtain a direction feature of shadow which is estimated by the thinning algorithm after calculating the lowest pixel position of the moving object. To verify the proposed approach, some experiments are conducted to draw a compare between conventional method and that of proposed. Experimental results showed that proposed methodology is simple, but robust and well adaptive to be need to remove a shadow removal operation.

• Journal of the Korean Society of Costume
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• v.51 no.1
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• pp.163-174
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• 2001

The purpose of this study is to review the features of eroticism expressed in men's fashion, to explain psychological and social contexts which engender eroticism and to analyze in what way eroticism is portrayed in men s fashion in this context. Eroticism as the metonymy of forbidden sexual desire, has been embodied mostly in visual forms such as picture and photo. From a psychoanalytic view, the context in which eroticism is formed can be explained by primary narcissism and fetishism. Primary narcissism is the feeling of satisfaction with the self in which the subject who is admiring and the object of admiration are one and the same. Accordingly, in order to give rise to eroticism, both subject and object have to exist. Fetishism, the metonymy of castrated penis, is also one of the factors to produce eroticism. Metaphorically seen as a woman who has a penis, a man who dresses in the same manner as a woman dresses can be a source of eroticism to gays. From a sociological view, the context in which eroticism is fostered depends on the dynamic relations among social powers. In these relations, who is a subject or who is an object has been continuously changing. In the Post-modern culture appearing in the late 20th century, power begins to take various forms, and gays and women who had never been subjects begin to make man an object of eroticism. The other point is that social morality, ignoring desire itself, objectifies sexual desire and seeks to remove It by exchanging it for objectified symbols. The design elements provoking eroticism in men s fashion are exposure and decoration. In particular, models in exposure and decorative fashion have been objectified through the methods of fragmentation rather than showing the whole figure or removing a person s individuality or will,.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.5
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• pp.637-644
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• 2021

In general, in the fields of computer vision, robotics, and augmented reality, the importance of 3D space and 3D object detection and recognition technology has emerged. In particular, since it is possible to acquire RGB images and depth images in real time through an image sensor using Microsoft Kinect method, many changes have been made to object detection, tracking and recognition studies. In this paper, we propose a method to improve the quality of 3D reconstructed images by processing images acquired through a depth-based (RGB-Depth) camera on a multi-view camera system. In this paper, a method of removing noise outside an object by applying a mask acquired from a color image and a method of applying a combined filtering operation to obtain the difference in depth information between pixels inside the object is proposed. Through each experiment result, it was confirmed that the proposed method can effectively remove noise and improve the quality of 3D reconstructed image.

• Journal of the Korea Society of Computer and Information
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• v.27 no.12
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• pp.77-84
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• 2022

In this paper, we propose a Label Reassignment Strategy to improve the performance of an object detection algorithm. Our approach involves two stages: an inference stage and an assignment stage. In the inference stage, we perform multi-scale inference with predefined scale sizes on a trained model and re-infer masked images to obtain robust classification results. In the assignment stage, we calculate the IoU between bounding boxes to remove duplicates. We also check box and class occurrence between the detection result and annotation label to re-assign the dominant class type. We trained the YOLOX-L model with the re-annotated dataset to validate our strategy. The model achieved a 3.9% improvement in mAP and 3x better performance on AP_S compared to the model trained with the original dataset. Our results demonstrate that the proposed Label Reassignment Strategy can effectively improve the performance of an object detection model.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.65 no.6
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• pp.1001-1006
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• 2016

As consumption of energy is increasing rapidly, energy saving is emphasized in nowadays. Thermal power plant occupies a large proportion in various type of power plant. Major causes of decreased power generation efficiency on thermal power stations is deposition of fly ash. Soot Blower is a facility to remove the ash which is deposited outside of tube by steam blowing on boiler. Residual stream which caused by lance tube in soot blower cannot be discharged steam effectively in lance tube causes reducing the thickness of lance tube. On the contrary, increasing discharge ratio of steam, lance tube cannot sustain proper pressure to remove ash on tube. This study suggests increasing discharge ratio of steam with proper pressure to remove ash on tube by optimization on shape of lance tube nozzle. To optimize shape of nozzle, discharge ratio and maximum blowing pressure on nozzle is selected as object functions. Diameter of nozzle, distance between nozzles, angle of nozzle and gap between nozzle is selected as design parameters. Then the design of experiment (DOE) with an orthogonal array is performed to analyze the effect of design parameters. And grey relational analysis and analysis of mean (ANOM) is performed to optimize shape of lance tube.