• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.12
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• pp.2844-2851
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• 2015

How to recover from the multiple 2D images into 3D object has been widely studied in the field of computer vision. In order to improve the accuracy of the recovered 3D shape, it is more important that noise must be minimized and the number of image frames must be guaranteed. However, potential noise is implied when tracking feature points. And the number of image frames which is consisted of an observation matrix usually decrease because of tracking failure, occlusions, or low image resolution, and so on. Therefore, it is obviously essential that the number of image frames must be secured by recovering the missing feature points under noise. Thus, we propose the analytic approach which can control directly the error distance and orientation of missing feature point by the geometrical properties under noise distribution. The superiority of proposed method is demonstrated through experimental results for synthetic and real object.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2016.06a
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• pp.309-312
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• 2016

최근 실세계에 존재하는 물체의 3차원 형상과 색상을 디지털화하는 3차원 객체 복원에 대한 관심이 날로 증가하고 있다. 3차원 객체 복원은 영상 획득, 영상 보정, 점군 획득, 반복적 점군 정합, 무리 조정, 3차원 모델 표현과 같은 단계를 거처 통합된 3차원 모델을 생성한다. 그 중 반복적 점군 정합 방법은 카메라 궤적의 초기 값을 획득하는 방법으로서 무리 조정 단계에서 전역 최적 값으로의 수렴을 보장하기 위해 중요한 단계이다. 기존의 반복적 점군 정합 (iterative closest points) 방법에서는 시간이 지남에 따라 누적된 궤적 오차 때문에 발생하는 객체 표류 문제가 발생한다. 본 논문에서는 이 문제를 해결하기 위해 색상 영상에서 SIFT 특징점을 획득하고 3차원 점군을 얻은 뒤 가중치를 부여함으로써 점 군 간의 더 정확한 정합을 수행한다. 실험결과에서 기존의 방법과 비교하여 제안하는 방법이 절대 궤적 오차 (absolute trajectory error)가 감소하는 것을 확인 했고 복원된 3차원 모델에서 객체 표류 현상이 줄어드는 것을 확인했다.

• Journal of the Institute of Convergence Signal Processing
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• v.10 no.1
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• pp.13-22
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• 2009

In this paper, we propose the 3D shape reconstruction method that combine the mosaic method and the active stereo matching using the laser beam. The active stereo matching method detects the position information of the irradiated laser beam on object by analyzing the color and brightness variation of left and right image, and acquires the depth information in epipolar line. The mosaic method extracts feature point of image by using harris comer detection and matches the same keypoint between the sequence of images using the keypoint descriptor index method and infers correlation between the sequence of images. The depth information of the sequence image was calculated by the active stereo matching and the mosaic method. The merged depth information was reconstructed to the 3D shape information by wrapping and blending with image color and texture. The proposed reconstruction method could acquire strong the 3D distance information, and overcome constraint of place and distance etc, by using laser slit beam and stereo camera.

• Korean Journal of Computational Design and Engineering
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• v.9 no.2
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• pp.175-182
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• 2004

As a bridge between design and manufacturing, process planning is to generate a sequenced set of instructions to manufacture the specified part. Automatic interpretation of manufacturing information incorporated in the design documentation such as CAD file has been a knotty subject for manufacturing engineers since no current data exchange format for product data provides a perfect interface between heterogeneous systems. The recent neutral data exchange format STEp, standard for the exchange of product model data, includes not only geometry but also technical and managerial information. STEP AP(Application Protocol) 224 is specifically dedicated to the mechanical product definition for process planning using machining features. Given a design information in STEP AP 224 format, process planning can be made without human intervention. This paper describes a method to determine the sequence of machining features by using the machining features and the manufacturing information expressed in STEP AP224.

• Proceedings of the Korea Institute of Convergence Signal Processing
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• 2000.12a
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• pp.117-120
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• 2000

본 논문에서는 2매의 2차원 얼굴영상으로부터 이들을 합성하여 3차원 얼굴의 가상형상을 복원한다. 여기서 2매의 2차원 얼굴영상은 정면과 측면 영상을 사용한다. 우선 임의의 일반 얼굴에 대한 기준모델을 설정하고, 이 모델에서, 얼굴형상의 특징을 표현하는 귀, 2개의 눈, 코 및 입 부분에 집중적으로 특징점을 규정하고, 그 외에 이마 및 턱 부분에도 특징 점을 규정하여 그 위치좌표를 저장해 둔다. 그 후 정면영상의 좌 우측에 측면영상을 대칭적으로 접속하고 영상의 기하변환 방법을 적용하여 점차적으로 합성한다. 이때 나타나는 합성부분에 색상 및 명도의 차를 제거하기 위해 선형보간법을 적용하여 자연스런 3차원 가상얼굴을 구현하게 된다. 그 결과 불특정 얼굴형상도 3차원으로 구현할 수 있음을 확인하였다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.31 no.4C
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• pp.400-406
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• 2006

Knowledge of camera parameters, such as position, orientation and focal length, is essential to 3D information recovery or virtual object insertion. This paper analyzes the error sensitivity of focal length due to position error of feature points which are employed for self-calibration. We verify the dependency of the focal length on the distance from the principal point to feature points with simulations, and propose a criterion for feature selection to reduce the error sensitivity.

• Proceedings of the Korea Water Resources Association Conference
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• 2007.05a
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• pp.633-637
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• 2007

하천환경 복원사업이나 자연형하천 정비사업의 근본 목표는 그 하천 고유의 하천경관이나 생태계 등 특성을 회복(Rehabilitation)시키거나 복원(Restoration)하는 것이다. 현재 이 치수기능 확보를 위한 댐 보의 건설, 하천정비 및 골재채취 등 하천의 인공화가 계속되고 있으며, 이에 따른 하천 및 하도의 물리, 화학, 생물에 미치는 영향은 심각한 수준이다. 이러한 하천의 인위적 교란은 요인, 규모, 빈도 및 강도는 다르지만 하천생태 서식처의 물리적, 화학적 특성이 변형, 변질되어 하천생태계가 변화, 단절, 절멸되는 심각한 상태가 빈발하고 있다. 하천교란(River disturbance)은 요인에 따라 유량 및 유사량 변화, 하상변동, 하도준설, 인공호안, 생태통로 차단 등 하천의 물리적 환경 변화를 초래하고, 그에 따른 영향으로 생물종의 감소 및 단순화, 개체수 감소 등과 같이 하천 생태계가 변화하게 된다. 그러나 하천의 교란평가에 대한 연구가 미흡하고, 또한 표준화된 평가체제가 구축되어 있지 않을 뿐 만 아니라 하천환경의 복원에 대한 의식 보급도 부족한 것이 현실이다. 따라서, 본 연구에서는 하천의 교란정도를 파악하기 위한 하천교란평가기법 개발을 위한 전단계로서 일본의 하천수변 국세조사, 영국의 River Habitat Survey, 호주의 River Assessment System, 미국의 Stream Corridor Restoration 등에서 제시하는 하천모니터링 및 평가체제를 비교, 분석하였다. 외국사례 분석 결과를 토대로 하천교란 요인을 하천정비, 댐건설, 골재채취로 유형화하고 교란요인별 조사해야 할 물리적 인자로서 유량, 유사량, 하도 제원, 특징적 내용, 하도형상, 여울과 소, 점사주, 인공구조물, 제방 호안의 재료 및 특징 등으로 선정, 검토하였으며, 생태계 인자로서는 제방 마루의 토지이용 및 식생구조, 하도의 식생유형, 하도주변 토지이용, 하안(bank) 형상 및 구조, 수종 및 구조, 하도 및 하안 특징 및 구조 등으로 선정, 검토하였다. 이상의 하천교란과 관계되는 지표를 선정하여 물리적, 생태적 조사 및 교란평가기법(안)을 개발, 제시하였다.

• Korean Journal of Optics and Photonics
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• v.18 no.2
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• pp.130-134
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• 2007

I present a novel curvature profilometer devised fur the profile measurement of aspheric and free-form surfaces on the nanometer scale. A profile is reconstructed from measuring the curvature of a test part of the surface at several locations along a line. For profile measurement of free-farm surfaces, methods based on local part curvature sensing have strong appeal. Unlike full-aperture interferometry they do not require customized null optics. The measurement accuracy of the curvature profilometer was assessed by comparison with a well-calibrated interferometer in NIST. Experimental results prove that the maximum discrepancy turns out to be 37 nm on the 28 mm measurement range for the spherical mirror.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.44 no.2 s.314
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• pp.27-36
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• 2007

Changeable biometrics identify a person using transformed biometric data instead of original biometric data in order to enhance privacy and security in biometrics when biometric data is compromised. In this paper, a novel scheme which generates changeable face templates for statistical appearance-based face recognition is proposed. Two different original face feature vectors are extracted from two different appearance-based approaches, respectively, each original feature vector is normalized, and its elements are re-ordered. Finally a changeable face template is generated by weighted addition between two normalized and scrambled feature vectors. Since the two feature vectors are combined into one by a two to one mapping, the original two feature vectors are not easily recovered from the changeable face template even if the combining rule is known. Also, when we need to make new changeable face template for a person, we change the re-ordering rule for the person and make a new feature vector for the person. Therefore, the security and privacy in biometric system can be enhanced by using the proposed changeable face templates. In our experiments, we analyze the proposed method with respect to performance and security using an AR-face database.

• Korean Journal of Heritage: History & Science
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• v.44 no.2
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• pp.76-95
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• 2011

After dismantled, Mireuksajiseoktap(Stone pagoda of Mireuksa Templesite) is being in the stage of restoration design. Now, different ways - producing restoration model, a 3 dimension simulation - have been requested to make more detailed and clearer restoration design prior to confirmation of its restoration design and actual restoration carry-out. This thesis proposes the way to build the detailed model for better restoration plan using extensively-used Reverse Engineering technique and Rapid Prototyping. It also introduces each stage such as a 3-dimension actual measurement, building database, a 3-dimension simulation etc., to build a desirable model. On the top of that, this thesis reveals that after dismantled, MIruksaji stone pagoda's interior and exterior were not constructed into pieces but wholeness, so that its looks can be grasped in more virtually and clearly. Secondly, this thesis makes a 3-dimension study on the 2-dimension design possible by acquiring basic materials about a 3-dimension design. Thirdly, the individual feature of each member like the change of member location can be comprehended, considering comparing analysis and joint condition of member. Lastly, in the structural perspective this thesis can be used as reference materials for structure reinforcement design by grasping destructed aspects of stone pagoda and weak points of the structure. In dismantlement-repair and restoration work of cultural properties that require delicate attention and exactness, there may be evitable errors on time and space in building reinforcement and restoration design based on a 2-dimension plan. Especially, the more complicate and bigger the subject is, the more difficult an analysis about the status quo and its delicate design are. A series of pre-review, based on the 3-dimension data according to actual measurement, can be one of the effective way to minimize the possibility that errors about time - space happen by building more delicate plan and resolving difficulties.