• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2016.06a
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• pp.260-263
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• 2016

Recently high dynamic range imaging technique is hot issue in computer graphic area. We present a progressive tone mapping algorithm, which is based on weighted least squares optimization framework. Our approach combines weighted leastsquaresfiltering with iCAM06, for showing more perceptual high dynamic range images in conventional display, while avoiding visual halo artifacts. We decompose high dynamic range image into base layer and detail layer. The base layer has large scale variation, it is obtained by using weighted least squares filtering, and then the base layer incorporates iCAM06 model. Then, adaptive compression on the base layer according to human visual system. Only the base layer reduces contrast, and preserving detail. The resultshows more perceptual color appearance and preserve fine detail, while avoiding common artifacts.

• 한국정보컨버전스학회:학술대회논문집
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• 2008.06a
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• pp.103-110
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• 2008

In this thesis, we describe a statistical method for 3D object detection. In this method, we decompose the 3D geometry of each object into a small number of viewpoints. For each viewpoint, we construct a decision rule that determines if the object is present at that specific orientation. Each decision rule uses the statistics of both object appearance and "non-object" visual appearance. We represent each set of statistics using a product of histograms. Each histogram represents the joint statistics of a subset of wavelet coefficients and their position on the object. Our approach is to use many such histograms representing a wide variety of visual attributes. Using this method, we have developed the first algorithm that can reliably detect faces that vary from frontal view to full profile view and the first algorithm that can reliably detect cars over a wide range of viewpoints.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.2
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• pp.871-891
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• 2019

Visual tracking is a challenging task that needs learning an effective model to handle the changes of target appearance caused by factors such as pose variation, illumination change, occlusion and motion blur. In this paper, a novel tracking algorithm based on weighted local sub-space reconstruction error is presented. First, accounting for the appearance changes in the tracking process, a generative weight calculation method based on structural reconstruction error is proposed. Furthermore, a template update scheme of occlusion-aware is introduced, in which we reconstruct a new template instead of simply exploiting the best observation for template update. The effectiveness and feasibility of the proposed algorithm are verified by comparing it with some state-of-the-art algorithms quantitatively and qualitatively.

• Proceedings of the KIEE Conference
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• 2007.04a
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• pp.11-13
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• 2007

The appearance inspection of various electronic products and parts has been executed by the eyesight of human. But inspection by eyesight can't bring about uniform inspection result. Because the appearance inspection result by eyesight of human is changed by condition of physical and spirit of the checker. So machine vision inspection system is currently used to many appearance inspection fields instead of the checker. However the inspection result of machine vision is changed by the illumination of workplace. Therefore we have used a power-law transformation in this paper. for improvement of vision inspection accuracy and could increase inspection accuracy of vision system. Also this system has been developed only using PC, CCD Camera and Visual C++ for universal workplace.

• Korean Journal of Human Ecology
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• v.17 no.3
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• pp.469-483
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• 2008

Body image is important as it is related to self-esteem and can be enhanced by clothing and the degree of enhancement is related to clothing fit. The purpose of the paper is to find the adequate ease distribution of jacket pattern for the obese women who want to slenderize their shape by optical illusion. Subjective evaluation of the visual appearance we collected and, at the same time, 3D clothing air volume was observed for the nine types of experimental jackets with different ease distribution. As results it was found that jacket pattern for the obese women is that the front width of pattern is wider than what of back width in waist and abdomen. It was also noted that there was distance between clothing and skin in the girth around hip of jacket. 3D scanner clearly demonstrated the distribution of ease is useful to find the pattern variables responsible for the slender appearance of the obese women. The ready-to-made clothes for the obese women's clothing should be manufactured systematically in due consideration of the diversity and scarcity of the obese women's body shape.

• Journal of Institute of Control, Robotics and Systems
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• v.17 no.2
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• pp.93-101
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• 2011

For mobile robot, recognizing its current location is very important to navigate autonomously. Especially, loop closing detection that robot recognize location where it has visited before is a kernel problem to solve localization. A considerable amount of research has been conducted on loop closing detection and localization based on appearance because vision sensor has an advantage in terms of costs and various approaching methods to solve this problem. In case of scenes that consist of repeated structures like in corridors, perceptual aliasing in which, the two different locations are recognized as the same, occurs frequently. In this paper, we propose an improved method to recognize location in the scenes which have similar structures. We extracted salient regions from images using visual attention model and calculated weights using distinctive features in the salient region. It makes possible to emphasize unique features in the scene to classify similar-looking locations. In the results of corridor recognition experiments, proposed method showed improved recognition performance. It shows 78.2% in the accuracy of single floor corridor recognition and 71.5% for multi floor corridors recognition.

• International Journal of Contents
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• v.11 no.3
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• pp.47-53
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• 2015

Visual object tracking is a fundamental problem in the field of computer vision, as it needs a proper model to account for drastic appearance changes that are caused by shape, textural, and illumination variations. In this paper, we propose a feature-based visual-object-tracking method with a sparse representation. Generally, most appearance-based models use the gray-scale pixel values of the input image, but this might be insufficient for a description of the target object under a variety of conditions. To obtain the proper information regarding the target object, the following combination of features has been exploited as a corresponding representation: First, the features of the target templates are extracted by using the HOG (histogram of gradient) and LBPs (local binary patterns); secondly, a feature-based sparsity is attained by solving the minimization problems, whereby the target object is represented by the selection of the minimum reconstruction error. The strengths of both features are exploited to enhance the overall performance of the tracker; furthermore, the proposed method is integrated with the particle-filter framework and achieves a promising result in terms of challenging tracking videos.

• Journal of Forest and Environmental Science
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• v.37 no.4
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• pp.331-337
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• 2021

This study is designed according to the fact that the feces presumed to be from a Prionailurus bengalensis was found in Ulleungdo Island, where Prionailurus bengalensis is not known to inhabit, and that visual observation of the feces may cause errors in species identification. The feces observed in Ulleungdo Island on October 21, 2019 and August 29, 2020, in Gyeongju on December 4, 2020, and in Jecheon on December 7, 2020 was found intactly on grass, not buried in the ground. Although it was difficult to distinguish and identify the feces of Felis catus and Prionailurus bengalensis with visual observation, the feces collected from Ulleungdo Island was closely related to the Felis catus according to the genetic analysis whereas the ones collected from Gyeongju and Jecheon was identified from Prionailurus bengalensis. Therefore through the gene analysis, this study proved that visual observation of feces with similar appearance, specifically the feces found in Ulleungdo Island, Gyeongju, and Jecheon, may cause errors in species identification. It is judged to be necessary to analyze fields signs and genes for the species identification when using the feces of Felis catus and Prionailurus bengalensis.

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2003.11a
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• pp.277-282
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• 2003

The purpose of this study is to investigate the architectural visual identity, and scheme of conceptional extent of architectural visual identity through literature research and sample analysis by design factors for apartment design. Korea National Housing Corporation's Mapo apartment put first caterer which is continued about 30 years to solve shortage of houses by beginning and the impact of IMF and the price decontrol on second half in the 1990s have changed the housing status to commercial goods. Construction companies have introduced brand concept to satisfy consumer's appetite in production of house goods including apartment under market situation. Importance of visual identity in apartment design occupies has risen in heftily. However most companies are in condition of stay on two-dimensional application that uses symbol, logotype, and character assistance. Several high position construction companies are trying architectural visual identity, but those are applied in partial element and those are not going forward to systematic classification and synthetic visual identity plan within peculiarity of apartment complex. This study is to grasp plan and design tendency to acquire identity of design element of construction field and goods through design examination. In conclusion visual identity in apartment design is architectural visual identity on all of 2 dimensions and 3 dimension for application. Architectural visual identity is a language of form that prescribe identity about external appearance in combination with brand image.

• Electrical & Electronic Materials
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• v.8 no.5
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• pp.551-557
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• 1995

For the observation of treeing, a visual measurement with an optical microscope has been used to explain breakdown mechanism in high-voltage systems. The conventional directed visual method of tree aging observation is difficult to measure in short time processing, and it is impossible to analyze on tree degradation area, progressed direction, tree pattern, etc. By using an image processing technique, the tree features which appear immediately after the tree initiation as well as changes in the configuration of the tree can be easily measured and observed than using the conventional visual methods. In this paper, we have developed a tree observating system by using image processing for tree growth, degradation area and other treeing progress. As an experimental result, it can be concluded that the image processing method is a more effective alternative than directed visual observation method. As a matter of fact, it is possible to record the image of tree propagation immediately after its first appearance and explain the characteristics of tree growth froth the computer processing image.