• Korean Institute of Interior Design Journal
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• v.22 no.6
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• pp.251-258
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• 2013

Space and figure are formed not by themselves but by the existence of light. It is important that plays a role as an intermediary of cognition which enables the formation of space and figure through Human's recognition in the process of design. Human perceive space and identity every basic form by the contrast of light and dark. The existence of light is very inclusive concept in the space, so space and form are completed by light. The change of based on time, place, and its amount acts as an important element Which can change the form of Space. In Space light doesn't work simply as light itself, but have a very close relation with Space, Form, Structure, Material, Color elements, Space is limited by physical form but human perceive space relatively by many other conditions, So same space can be experienced differently by the characters of light. Human can recognized and observe an object in the space as he processes information collected through light. In this process light make it possible for human to see the shape in space. therefore, the shape of space can get meanings when light exists. the space recognized by light is the mean that activates human activates in space.

• International Journal of Contents
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• v.7 no.4
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• pp.24-29
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• 2011

In this paper, we propose a method to segment the bottle label in images taken by mobile phones using multi-gradient approaches. In order to segment the label region of interest-object, the saliency map method and Hough Transformation method are first applied to the original images to obtain the candidate region. The saliency map is used to detect the most salient area based on three kinds of features (color, orientation and illumination features). The Hough Transformation is a technique to isolated features of a particular shape within an image. Therefore, we utilize it to find the left and right border of the bottle. Next, we segment the label based on the gradient information obtained from the structure tensor method and edge method. The experimental results have shown that the proposed method is able to accurately segment the labels as the first step of product label recognition system.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.41 no.3
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• pp.35-49
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• 2004

This paper proposes a new glasses removal method from color frontal facial image to generate gray glassless facial image. The proposed method is based on recursive PCA reconstruction. For the generation of glassless images, the occluded region by glasses should be found, and a good reconstructed image to compensate with should be obtained. The recursive PCA reconstruction Provides us with both of them simultaneously, and finally produces glassless facial images. This paper shows the effectiveness of the proposed method by some experimental results. We believe that this method can be applied to removing other type of occlusion than the glasses with some modification and enhancing the performance of a face recognition system.

• Transactions on Electrical and Electronic Materials
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• v.17 no.6
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• pp.363-368
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• 2016

Rectangular shape detection plays an important role in many image recognition systems. However, it requires continued research for its improved performance. In this study, we propose a strong rectangular shape detection algorithm, which combines the canny edge and line detection algorithms based on the perpendicularity and parallelism of a rectangle. First, we use the canny edge detection algorithm in order to obtain an image edge map. We then find the edge of the contour by using the connected component and find each edge contour from the edge map by using a DP (douglas-peucker) algorithm, and convert the contour into a polyline segment by using a DP algorithm. Each of the segments is compared with each other to calculate parallelism, whether or not the segment intersects the perpendicularity intersecting corner necessary to detect the rectangular shape. Using the perpendicularity and the parallelism, the four best line segments are selected and whether a determined the rectangular shape about the combination. According to the result of the experiment, the proposed rectangular shape detection algorithm strongly showed the size, location, direction, and color of the various objects. In addition, the proposed algorithm is applied to the license plate detecting and it wants to show the strength of the results.

• Journal of the Korean housing association
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• v.27 no.6
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• pp.1-8
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• 2016

This study is focusing on Territoriality which is supposed to be one of the most important elements to activate open spaces in apartment communities. Case analysis with onsite visit is selected as the research method of this study targeting 6 apartment complexes in Bukgu and Gwangsangu, Gwangju city which accommodate over 500 households up to 800 households, which show high occupancy ratio and which were built after 2006 to minimize the physical environment variable. The result of this study is concluded as follows. First, we need the elements which can induce various action and the use of floor surface in color, pattern, and material should be considered in the stance of pedestrian for easy recognition of Territoriality change. Second, To secure the view, we should consider to plant shrubs or to plant trees wider apart. In most cases, enclosure is secured by using trees of Vertical Boundary for safety and comfort, but overuse in some cases make residents feel fear of enclosed spaces and insecurity. Third, Various and harmonious design elements can be recommended to increase aesthetic impression, to induce positive response for design, and to be used consistently. Finally, Unique space using notable landmark or design elements should be considered.

• Journal of Environmental Science International
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• v.13 no.2
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• pp.117-127
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• 2004

The purpose of this study is to present the conditions and methods for keeping the sustainability of the landscape resources of the East Coast of Gangwon province, the Republic of Korea by investigating the landscape resources management in the area and pointing out its problems. The unit of analysis in this study is four cities and two counties located along the national road route seven in Gangwon province. The classification and characteristics of the landscape resources in this area was analyzed by a literature review, and we surveyed the tourists visiting the area and statistically analyzed the data in order to examine their satisfaction with the landscape resources management and make recommendations. The problems of the landscape resources management are: 1) the disturbance of the persistence of life by reclamation, the population reduction in the ecosystem due to the overload in environmental capacity, and the severance of space between land and water. 2) the reduction of the benefits from indirect experience by interfering with the conservation of fluxes --- the manipulation of horizontal arrangement of the landscape resource, the visual disturbance by the construction of high-storied buildings, and the disharmony between the color/image and the environment. The means for keeping sustainability of the landscape resources include the regulations of development and use, the change in the recognition of the value of landscape resources and the moral system, and the improvement of resource management skills.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2016.06a
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• pp.200-203
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• 2016

최근 자율주행자동차에 대한 관심이 증가함에 따라 교통 상황을 인식하는 방법에 대한 연구도 활발하게 진행되고 있다. 특히 교통신호등의 인식은 치명적인 결과를 야기하는 교통사고와 밀접하게 연관된다는 점에서 중요성이 더욱 부각되고 있다. 본 논문에서는 컴퓨터 비전 시스템을 기반으로 한 교통신호등 인식 방법을 제안한다. 차선, 표지판 등과는 다르게 교통신호등은 빛을 발하는 특징이 있으며 그 모양과 형태 또한 규격화 되어 있다. 이러한 특징 중 색상과 형태 특징을 이용하여 두 단계의 추출과정을 거쳐 교통신호등을 인식한다. 먼저 HSV 색 공간에서 적색, 녹색, 주황색의 빛을 발하는 영역을 찾아낸 뒤, 신호의 원형 특징을 이용해 가로, 세로 사이즈와 크기로 신호의 후보를 추출한다. 다음, 신호등의 검은 박스 영역을 찾기 위해 추출한 신호 후보군의 주변부가 검정색인지를 확인한다. 최종적으로 신호등의 박스 부분을 검출하여 신호를 발하는 위치를 기반으로 신호를 인식한다. 실험결과 많은 계산량을 요구하는 기계학습을 사용하지 않고도 실시간 처리와 높은 인식률로 교통 신호를 인식할 수 있음을 확인하였다.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.562-566
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• 2009

In this paper, we present a novel system to categorize web image search results using emotional concepts and to browse the results more conveniently and easily. The proposed system can categorize search results into 8 emotional categories based on emotion vector, which obtained by color and pattern features. Here, we use Kobayashi’s emotional categories: {romantic, natural, casual, elegant, chic, classic, dandy and modern}. With search results for a given query, the proposed system can provide categorized images for each emotional category. With 1,000 Yahoo! search images, we compared the proposed method with Yahoo! image search engine in respect of satisfaction, efficiency, convenience and relevance with a user study. Our experimental results show the effectiveness of the proposed method.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.4 no.3
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• pp.202-208
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• 2011

Recently the technologies that control the computer system through human computer interaction(HCI) have been widely studied. Their applications usually involve the methods that locate user's positions via face detection and recognize user's gestures, but face detection performance is not good enough. In case that the applications do not locate user's position stably, user interface performance, such as gesture recognition, is significantly decreased. In this paper we propose a new stable face detection algorithm using skin color detection and cumulative distribution of face detection results, whose effectiveness was verified by experiments. The propsed algorithm can be applicable in the area of human tracking that uses correspondence matrix analysis.

• Journal of Korea Multimedia Society
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• v.17 no.2
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• pp.248-256
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• 2014

This paper designs a serious game for rehabilitation of patients with body pains because they sit down for a long time in the same position, or less physical movement. Activity-based game induces to player improvements in physical exercise with fun elements of the game through entertainment to help the body function and substantially increases the player's commitment during challenging goal. This research is a game design that combines the treatment of color and movement of body to the rhythm of the music. We constructed with XNA Game Studio and KINECT interface with gesture recognition technology. We need to research of evaluation system and test for the actual effect of the treatment and advanced functions of game playes like adding various musics and variety of motion.