• Title/Summary/Keyword: 형상특징

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Hand Gesture Sequence Recognition using Morphological Chain Code Edge Vector (형태론적 체인코드 에지벡터를 이용한 핸드 제스처 시퀀스 인식)

  • Lee Kang-Ho;Choi Jong-Ho
    • Journal of the Korea Society of Computer and Information
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    • v.9 no.4 s.32
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    • pp.85-91
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    • 2004
  • The use of gestures provides an attractive alternate to cumbersome interface devices for human-computer interaction. This has motivated a very active research area concerned with computer vision-based analysis and interpretation of hand gestures The most important issues in gesture recognition are the simplification of algorithm and the reduction of processing time. The mathematical morphology based on geometrical set theory is best used to perform the processing. The key idea of proposed algorithm is to track a trajectory of center points in primitive elements extracted by morphological shape decomposition. The trajectory of morphological center points includes the information on shape orientation. Based on this characteristic we proposed the morphological gesture sequence recognition algorithm using feature vectors calculated to the trajectory of morphological center points. Through the experiment, we demonstrated the efficiency of proposed algorithm.

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Shape Descriptor for 3D Foot Pose Estimation (3차원 발 자세 추정을 위한 새로운 형상 기술자)

  • Song, Ho-Geun;Kang, Ki-Hyun;Jung, Da-Woon;Yoon, Yong-In
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.14 no.2
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    • pp.469-478
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    • 2010
  • This paper proposes the effective shape descriptor for 3D foot pose estimation. To reduce processing time, silhouette-based foot image database is built and meta information which involves the 3D pose of the foot is appended to the database. And we proposed a modified Centroid Contour Distance whose size of the feature space is small and performance of pose estimation is better than the others. In order to analyze performance of the descriptor, we evaluate time and spatial complexity with retrieval accuracy, and then compare with the previous methods. Experimental results show that the proposed descriptor is more effective than the previous methods on feature extraction time and pose estimation accuracy.

Fast Structure Recovery and Integration using Improved Scaled Orthographic Factorization (개선된 직교분해기법을 사용한 빠른 구조 복원 및 융합)

  • Park, Jong-Seung;Yoon, Jong-Hyun
    • Journal of Korea Multimedia Society
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    • v.10 no.3
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    • pp.303-315
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    • 2007
  • This paper proposes a 3D structure recovery and registration method that uses four or more common points. For each frame of a given video, a partial structure is recovered using tracked points. The 3D coordinates, camera positions and camera directions are computed at once by our improved scaled orthographic factorization method. The partially recovered point sets are parts of a whole model. A registration of point sets makes the complete shape. The recovered subsets are integrated by transforming each coordinate system of the local point subset into a common basis coordinate system. The process of shape recovery and integration is performed uniformly and linearly without any nonlinear iterative process and without loss of accuracy. The execution time for the integration is significantly reduced relative to the conventional ICP method. Due to the fast recovery and registration framework, our shape recovery scheme is applicable to various interactive video applications. The processing time per frame is under 0.01 seconds in most cases and the integration error is under 0.1mm on average.

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Shape Descriptor using Skeleton of Binary Image (이진 영상의 골격을 이용한 형상 기술자)

  • 이종하;최양림;조남익
    • Proceedings of the IEEK Conference
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    • 2000.09a
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    • pp.385-388
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    • 2000
  • 본 논문에서는 영상처리 기법 중 하나인 이진 영상에 대한 골격화를 이용한 새로운 형상 기술자를 제안한다. 내용기반 영상 검색에서 형상을 이용하는 것은 가장 우세하고 인간이 가장 쉽게 인지할수 있는 방법 중의 하나이다. 형상을 이용한 검색을 위해 서는 인간이 인지하는 형상에 대한 정보를 간략화시킬 수 있는 기술자가 필요하다. 본 논문에서 제안하는 골격을 이용한 형상 기술자는 물체의 중요한 정보 중 하나인 골격을 영상 검색에 이용함으로써 기존의 물체가 갖고 있는 복잡한 형상 정보들을 여러개의 직선의 조합으로 간략하게 표현하고 이를 검색에 사용하는 것이다. 이를 위해서 단순한 골격화 외의 다른 형태학적 영상 처리를 이용하여 효과적인 직선 추출을 위한 여건을 마련한다. 그리고 근사화된 직선들이 추출되면 스케일에 대해 정규화 하여 골격을 이루는 직선들의 양 끝점을 형상 기술자로 얻을 수 있다. 각 특징벡터에 대한 정합은 각각의 회전에 대해 유클리디안 거리를 이용한다. 실험 결과, 제안된 방법이 자세한 부분보다는 대략적인 형상 검색과 동일한 카테고리의 데이타 집합에서 부분적인 변화에 대해 우수한 성능을 나타낸다는 것을 알 수 있다.

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Control Net Generation for Parametric control of freeform shape (자유형상의 파라메트릭 변형을 위한 조정 다각형 생성)

  • 박현풍;이관행
    • Proceedings of the Korean Information Science Society Conference
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    • 2003.10b
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    • pp.667-669
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    • 2003
  • 특징 형상의 조합으로 표현될 수 없는 자유 형상을 가진 제품이 늘어남에 따라 자유형상을 효율적으로 변형시키는 기법이 필요하다. 여러 가지 자유형상 변형기법(FFD) 가운데에서 자유 형상을 파라메트릭하게 컨트롤하기 위해서는 조정 다각형 기반의 형상 변형 기법이 적합하다. 이에 따라 본 연구에서는 FFD 기법을 적용하여 자유형상 모델을 파라메트릭하게 컨트롤하기 위해 입력 모델에 대한 조정 다각형을 자동으로 생성하는 알고리즘을 제안하였다. 제안된 알고리즘은 크게 기본 조정 다각형 생성과 조정 다각형 최적화 단계로 나누어진다. 기본 다각형 생성에서는 1)입력모델을 직교 3방향에 투영, 2)투영된 결과에 대해 2차원 조정 다각형을 생성, 3)2차원 조정 다각형을 조합하여 3차원 기본 조정 다각형 생성의 단계를 거친다. 조정 다각형 최적화 단계에서는 기본 조정 다각형에 에지 및 면 연산자를 적용하여 입력 모델에 더욱 근사하는 최종 조정 다각형을 생성한다. 예제에서는 제안된 알고리즘을 통해 자동으로 생성된 조정다각형을 자동차 모델에 적용하여 모델의 형상을 변화시킨 결과를 보였다.

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Automatic Generation of CAM Model for Machining Holes for Jet Engine Compressor Case Based on Feature Recognition (제트엔진 압축기 케이스의 구멍 가공을 위한 특징형상 인식 기반의 CAM 모델 자동생성)

  • Kim, Byung Chul;Song, Ilhwan
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.39 no.3
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    • pp.337-345
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    • 2015
  • High machining technology is needed for manufacturing jet engines for use in aircrafts. To reduce errors in the jet engine machining process, the machining companies of aircraft engines have introduced the CAM (computer-aided manufacturing) technology. However, to create a CAM model, the operator must manually conduct machining operations based on a CAD (computer-aided design) model, which can take several days or weeks. To solve this problem, this study proposes a method for automatically generating a CAM model for machining holes in the parts, using a CAD model. In this method, the features of the hole are recognized from the CAD model and translated into machining operations to be used with the CATIA program. Additionally, a prototype system was implemented and the proposed method was experimentally verified.

Modeling of Various Digital Leaves Using Feature-based Image Warping (특징기반 영상 워핑을 활용한 다양한 디지털 잎 모델링)

  • Kim, Jin-Mo
    • Journal of Digital Contents Society
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    • v.16 no.2
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    • pp.235-244
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    • 2015
  • This study proposes a leaf modeling method that uses feature-based warping for efficient generation of various digital leaves. The proposed method uses warping method, one of image processing application techniques that can control various shapes of leaves in an easy, intuitive way, and generate natural patterns of veins efficiently. First, information on approximated contour is detected from a leaf blade image to identify the shape of a blade. Based on this, control line is automatically calculated to be used for feature-based warping. Then, control line-based warping is conducted to modify forms of leaf blade images in an intuitive way, automatically generating leaves of various shapes. And natural vein patterns are generated by applying a contour-based venation growth algorithm from contour information of the modified leaf blade images. This study performs experiments to verify whether various shape of leaves that comprise plants can be efficiently generated using a sample binary image of a blade. Also, we demonstrate that express the natural growth of leaves by applying warping to the growth of the leaf blade.

Moving Object Classification through Fusion of Shape and Motion Information (형상 정보와 모션 정보 융합을 통한 움직이는 물체 인식)

  • Kim Jung-Ho;Ko Han-Seok
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.43 no.5 s.311
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    • pp.38-47
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    • 2006
  • Conventional classification method uses a single classifier based on shape or motion feature. However this method exhibits a weakness if naively used since the classification performance is highly sensitive to the accuracy of moving region to be detected. The detection accuracy, in turn, depends on the condition of the image background. In this paper, we propose to resolve the drawback and thus strengthen the classification reliability by employing a Bayesian decision fusion and by optimally combining the decisions of three classifiers. The first classifier is based on shape information obtained from Fourier descriptors while the second is based on the shape information obtained from image gradients. The third classifier uses motion information. Our experimental results on the classification Performance of human and vehicle with a static camera in various directions confirm a significant improvement and indicate the superiority of the proposed decision fusion method compared to the conventional Majority Voting and Weight Average Score approaches.

The software configuration management system for image processing algorithm development (영상처리 알고리즘 개발을 위한 소프트웨어형상관리시스템)

  • Lee Jeong-Heon;Chae Ok-Sam
    • The KIPS Transactions:PartB
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    • v.12B no.1 s.97
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    • pp.1-8
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    • 2005
  • The importance of software is getting high in development of the digital device (digital camcoder, digital camera, mp3 player, ....). And because the sire of software becomes larger and complicated, the necessity of software configuration management (to solves a software crisis) is increased. The general software configuration management system shows lack of the property and features of software development environment for image processing algorithm due to its wide range to be covered. Image processing algorithm development environment has properties like repetitive analysis and simulation using visual programming environment where, beside support of elementary development functions. component(or library) can be combined and tested interactively. Moreover, the method to look fast and effectively for component having similar function is required. In this paper, we present the system which supports the software configuration management method for a simulation tool and the property in the visual programming environment. And we relate our system to real simulation tool so as to check its ability as the software configuration management system for image processing algorithm development environment.