• 한국통신학회논문지
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• 제26권7B호
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• pp.975-982
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• 2001

본 논문에서는 3차원 영상 시스템에서 기준이 되는 좌우 영상이 있을 때 임의의 중간 시점 영상 합성 기법을 제안하였다. 제안한 기법은 양방향 다이나믹 프로그래밍 기반 변이 추정 과정과, 이를 기반으로 양방향 변이 정합과정에 의해 가려진 영역을 추출하는 과정, 그리고 완성된 변이 맵을 바탕으로 중간 시점 영상을 생성하는 과정으로 구성된다. 이중 변이 추정 과정에 제안된 양방향 다이나믹 프로그래밍 기법은, 일반적인 다이나믹 프로그래밍이 가진 장점을 살리면서, 영상 특성을 고려한 코스트 값의 사용 및 양방향 코스트 행렬 생성 방법으로 발생될 수 있는 오류를 최소화함으로써 가려진 영역을 보다 정확하게 구분해 낼 수 있었다. 이후 이러한 과정에서 생성된 변이 맵에 대해 적절한 후처리 과정으로 가려진 영역을 판별하고, 이를 기반으로 한 중간 영상 생성에서 모호한 영역을 고려하여 보다 정확하고 안정적인 결과를 얻을 수 있었다.

• Journal of Yeungnam Medical Science
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• 제20권1호
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• pp.13-27
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• 2003

In the past, the report of shoulder instability undergoing open shoulder stabilization had satisfactory outcomes of greater than 90%. However, the functional loss of open procedure is severe in abduction and external rotation especially. Current arthroscopic techniques for shoulder instability result in success rate equal to open surgical procedure when the labrum is properly fixed to the glenoid rim using suture anchors, the capsule is tightened, and associated bony and soft tissue pathology is addressed. The arthroscopic surgery facilitates the view within shoulder joint for more accurate diagnosis, reduces operating time, minimises postoperative pain, reduces operative morbidity, improves shoulder function, and provides the possibility to perform other procedure simultaneously. However, to accomplish a successful arthroscopic stabilization procedure and to prevent complications, numerous advanced arthroscopic skill must be mastered. Although the arthroscope provides means to visualize new lesions, the pathomechanism and biomechanical explanation is not clear yet. Further studies are necessary to develop for shoulder reconstruction.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1990년도 추계학술대회 논문집 학회본부
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• pp.460-464
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• 1990

Texture provides an important source of information about the local orientation of visible surfaces. An important task that arises in many computer vision systems is the reconstruction of three-dimensional depth information from two-dimensional images. The surface orientation of texel is classified by the Artificial Neural Network. The classification method to recognize the shape of 3D object with artificial neural network requires less developing time comparing to conventional method. The segmentation problem is assumed to be solved. The surface in view is smooth and is covered with repeated texture elements. In this study, 3D shape reconstruct using interpolation method.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2003년도 ISIS 2003
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• pp.395-398
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• 2003

Two component analysis methods based on the fuzzy relational calculus are proposed in the setting of the ordered structure. First component analysis is based on a decomposition of fuzzy relation into fuzzy bases, using gradient method. Second one is a component analysis based on the eigen fuzzy sets of fuzzy relation. Through experiments using the test images extracted from SIDBA and View Sphere Database, the effectiveness of the proposed component analysis methods is confirmed. Furthermore, improvements of the image compression/reconstruction and image retrieval based on ordered structure are also indicated.

• 한국주거학회논문집
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• 제10권1호
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• pp.137-144
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• 1999

This study examines the general reuse plan for deteriorated multi-family housing (apartrtments) in the urban fringe of Taegu City. The apartments which were built in the 1970's have to be improved. It is necessary to carry out the actual investigation for alternatives of reconstruction or reuse. From the above point of view, the study lays its purpose to find pertinent directions for the reasonable reuse plan, and gets on as follows; 1) Analize the residential state for users' needs of detoriorated aprtments through an investigation. 2) Synthesize the experts' opinions about matters related to reuse planning through a questionnaire. 3) Suggest the general solutions in three areas; unit dwelling, housing site, equipment and facilities, Finally, in the future housing development projects, concepts of reuse planning should be reflected beforehand.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2005년도 춘계 학술기술논문발표대회 논문집
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• pp.219-222
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• 2005

Recently, remodeling has been a major field of the building construction that comes up for the alternatives of the reconstruction and the economical construction method. In the almost cases, the engineering capacity for the repair/rehabilitation of the remodeling should satisfy also the owner's various needs (eg, the minimum construction time, etc.) and the safety of the building. Also, the engineering and construction technique for remodeling should be applied to the contrary point of view of the general construction method. But, the many problem actually has arose from the wrongly applied construction method that is caused with the insufficient researches and development. Therefore, this study would suggest the necessities and the directions of developing the elementary engineering technique and the method that satisfy the owner's various needs for the remodeling and repair/rehabilitation of the multi-owned building as multiplex shop, with the successful construction cases.

• 로봇학회논문지
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• 제2권1호
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• pp.21-28
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• 2007

The Intelligent Space(ISpace) provides challenging research fields for surveillance, human-computer interfacing, networked camera conferencing, industrial monitoring or service and training applications. ISpace is the space where many intelligent devices, such as computers and sensors, are distributed. According to the cooperation of many intelligent devices, the environment, it is very important that the system knows the location information to offer the useful services. In order to achieve these goals, we present a method for representing, tracking and human following by fusing distributed multiple vision systems in ISpace, with application to pedestrian tracking in a crowd. And the article presents the integration of color distributions into particle filtering. Particle filters provide a robust tracking framework under ambiguity conditions. We propose to track the moving objects by generating hypotheses not in the image plan but on the top-view reconstruction of the scene. Comparative results on real video sequences show the advantage of our method for multi-object tracking. Also, the method is applied to the intelligent environment and its performance is verified by the experiments.

• 한국통신학회:학술대회논문집
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• 한국통신학회 2006년도 하계종합학술발표회 논문 초록집
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• pp.281-281
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• 2006

• 대한전기학회논문지:시스템및제어부문D
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• 제53권4호
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• pp.226-234
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• 2004

A rapid Prototyping system that laser-cuts and laminates thick layers can fabricate 3D objects promptly with a variety of materials. Building such a system must consider the surface distortions due to both vertical-cut layers and triangular surfaces. We developed a tangential layer-cutting algorithm by rearranging tangential lines such that they reconstruct 3D surfaces more closely and also constitute smoother laser trajectories. An energy function that reflects the surface-closeness with the tangential lines was formulated and then the energy was minimized by a gradient descent method. Since this simple method tends to cause many local minima for complex 3D objects, we tried to solve this problem by adding a simulated annealing process to the proposed method. To view and manipulate 3D objects, we also implemented a 3D visual environment. Under this environment, experiments on various 3D objects showed that our algorithm effectively approximates 3D surfaces and makes laser-trajectory feasibly smooth.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제5권1호
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• pp.46-51
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• 2005

Intelligent Space(ISpace) is the space where many intelligent devices, such as computers and sensors, are distributed. According to the cooperation of many intelligent devices, the environment, it is very important that the system knows the location information to offer the useful services. In order to achieve these goals, we present a method for representing, tracking and human following by fusing distributed multiple vision systems in ISpace, with application to pedestrian tracking in a crowd. And the article presents the integration of color distributions into particle filtering. Particle filters provide a robust tracking framework under ambiguity conditions. We propose to track the moving objects by generating hypotheses not in the image plan but on the top-view reconstruction of the scene. Comparative results on real video sequences show the advantage of our method for multi-object tracking. Simulations are carried out to evaluate the proposed performance. Also, the method is applied to the intelligent environment and its performance is verified by the experiments.