• 제목/요약/키워드: comparing objects

검색결과 333건 처리시간 0.024초

유사한 색상과 질감영역을 이용한 객체기반 영상검색 (Object-Based Image Search Using Color and Texture Homogeneous Regions)

  • 유헌우;장동식;서광규
    • 제어로봇시스템학회논문지
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    • 제8권6호
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    • pp.455-461
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    • 2002
  • Object-based image retrieval method is addressed. A new image segmentation algorithm and image comparing method between segmented objects are proposed. For image segmentation, color and texture features are extracted from each pixel in the image. These features we used as inputs into VQ (Vector Quantization) clustering method, which yields homogeneous objects in terns of color and texture. In this procedure, colors are quantized into a few dominant colors for simple representation and efficient retrieval. In retrieval case, two comparing schemes are proposed. Comparing between one query object and multi objects of a database image and comparing between multi query objects and multi objects of a database image are proposed. For fast retrieval, dominant object colors are key-indexed into database.

초등학교 수학 교과서에 제시된 스토리텔링 방식의 '비교하기' 단원에 대한 교육적 고찰 (A Note on the 'Comparing Objects' Unit as Storytelling in the Elementary School Mathematics Textbooks)

  • 백대현
    • 한국초등수학교육학회지
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    • 제19권4호
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    • pp.527-544
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    • 2015
  • 2009 개정 교육과정에 따른 초등학교 수학 교과서의 주요한 특징 중의 하나는 단원 도입에 스토리텔링을 적용한 것이다. 특히 1학년 수학 교과서의 '비교하기' 단원은 단원 전체가 스토리텔링 방식으로 구성되었다. 본 논문은 비교하기 단원을 중심으로 교과서에 제시된 스토리의 내용과 학습 활동을 수학 교육적인 관점과 인성 교육적인 관점에서 분석하였다. 이를 바탕으로 스토리텔링 방식의 수학 교수 학습에 나타날 수 있는 문제점을 논의하고, 재구성한 활동을 대안으로 제시하고, 교육학적인 시사점을 도출하였다.

칼라 분할 방식을 이용한 비디오 영상에서의 움직이는 물체의 검출과 추적 (Moving Object Tracking Method in Video Data Using Color Segmentation)

  • 이재호;조수현;김회율
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2001년도 하계종합학술대회 논문집(4)
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    • pp.219-222
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    • 2001
  • Moving objects in video data are main elements for video analysis and retrieval. In this paper, we propose a new algorithm for tracking and segmenting moving objects in color image sequences that include complex camera motion such as zoom, pan and rotating. The Proposed algorithm is based on the Mean-shift color segmentation and stochastic region matching method. For segmenting moving objects, each sequence is divided into a set of similar color regions using Mean-shift color segmentation algorithm. Each segmented region is matched to the corresponding region in the subsequent frame. The motion vector of each matched region is then estimated and these motion vectors are summed to estimate global motion. Once motion vectors are estimated for all frame of video sequences, independently moving regions can be segmented by comparing their trajectories with that of global motion. Finally, segmented regions are merged into the independently moving object by comparing the similarities of trajectories, positions and emerging period. The experimental results show that the proposed algorithm is capable of segmenting independently moving objects in the video sequences including complex camera motion.

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Bin-picking method using stereo vision

  • Joo, Kisee;Han, Min-Hong
    • 한국경영과학회:학술대회논문집
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    • 대한산업공학회/한국경영과학회 1994년도 춘계공동학술대회논문집; 창원대학교; 08월 09일 Apr. 1994
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    • pp.527-534
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    • 1994
  • This paper presents a Bin-Picking method in which robot recognizes the positions and orientations of unoccluded objects at the top of jumbled objects placed in a bin, and picks up the unoccluded objects one by one from the jumble. A method using feasible region, painting, and hierarchical test is introduced for recognizing the unoccluded objects from the jumbled objects. The 3D information is obtained using the bipartite-matching method which finds the least difference of 3D by comparing vertexes of one camera with vertexes of the other camera, then hypothesis and test are done. The working order of unoccluded objects is made based on 3D, position, and orientation information. The robot picks up the unoccluded objects from the jumbled objects according to the working order. This all process continues to the empty bin.

영상 기반 위치 인식을 위한 대규모 언어-이미지 모델 기반의 Bag-of-Objects 표현 (Large-scale Language-image Model-based Bag-of-Objects Extraction for Visual Place Recognition)

  • 정승운;박병재
    • 센서학회지
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    • 제33권2호
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    • pp.78-85
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    • 2024
  • We proposed a method for visual place recognition that represents images using objects as visual words. Visual words represent the various objects present in urban environments. To detect various objects within the images, we implemented and used a zero-shot detector based on a large-scale image language model. This zero-shot detector enables the detection of various objects in urban environments without additional training. In the process of creating histograms using the proposed method, frequency-based weighting was applied to consider the importance of each object. Through experiments with open datasets, the potential of the proposed method was demonstrated by comparing it with another method, even in situations involving environmental or viewpoint changes.

BIM 기반의 공간객체를 이용한 물량산출 정확성 분석 (An Accuracy Analysis on Quantity Take-off Using BIM-based Spatial Object)

  • 차유나;김성아;진상윤
    • 한국BIM학회 논문집
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    • 제4권4호
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    • pp.13-23
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    • 2014
  • After being introduced, Building Information Modeling (BIM) has been actively applied to the cost estimation of construction projects, and various studies on BIM based quantity take-off have been carried out. In practice, however, these calculations take considerable time, because BIM based quantity take-off is further conducted along with 2D-based quantity take-off. Studies on the quantity take-off using BIM spatial objects have been carried out on early stages of projects, but how this method differs from the existing quantity take-off method and how accurate it is in comparison have rarely been verified. Therefore, by comparing 2D based quantities with quantities through BIM spatial objects, this study analyzed the accuracy of quantity take-off using BIM spatial objects. To this end, the properties of BIM spatial objects and quantity calculable spatial types were analyzed, and existing 2D-based quantities and quantities extracted from BIM spatial objects were compared through a case study. As a result, the quantity of spatial objects found to be more by about 7.13% in 0.05% and therefore, this difference should be considered during quantity take-off using BIM spatial objects. Through the results of this study, we can improve the accuracy of quantity take-off using BIM spatial objects in the early stage of a construction project.

MSER(Maximally Stable Extremal Regions)기반 위성영상에서의 관심객체 검출기법 (A Method to Detect Object of Interest from Satellite Imagery based on MSER(Maximally Stable Extremal Regions))

  • 백인혜
    • 한국군사과학기술학회지
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    • 제18권5호
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    • pp.510-516
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    • 2015
  • This paper describes an approach to detect interesting objects using satellite images. This paper focuses on the interesting objects that have common special patterns but do not have identical shapes and sizes. The previous technologies are still insufficient for automatic finding of the interesting objects based on operation of special pattern analysis. In order to overcome the circumstances, this paper proposes a methodology to obtain the special patterns of interesting objects considering their common features and their related characteristics. This paper applies MSER(Maximally Stable Extremal Regions) for the region detection and corner detector in order to extract the features of the interesting object. This paper conducts a case study and obtains the experimental results of the case study, which is efficient in reducing processing time and efforts comparing to the previous manual searching.

Study of Script Conversion for Data Extraction of Constrained Objects

  • Choi, Chul Young
    • International Journal of Internet, Broadcasting and Communication
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    • 제14권3호
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    • pp.155-160
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    • 2022
  • In recent years, Unreal Engine has been increasingly included in the animation process produced in the studio. In this case, there will be more than one of main software, and it is very important to accurately transfer data between the software and Unreal Engine. In animation data, not only the animation data of the character but also the animation data of objects interacting with the character must be individually produced and transferred. Most of the objects that interact with the character have a condition of constraints with the part of character. In this paper, I tried to stipulate the production process for extracting animation data of constrained objects, and to analyze why users experience difficulties due to the complexity of the regulations in the process of executing them. And based on the flowchart prescribed for user convenience, I created a program using a Python script to prove the user's convenience. Finally, by comparing the results generated according to the manual flowchart with the results generated through the script command, it was found that the data were consistent.

성인여성의 경부 및 견부의 유형에 따른 길원형 및 칼라원형의 설계에 관한 연구 (A Study of Designing of Bodice and Collar Pattern according to the Shape of Women′s Neck and Shoulder)

  • 김희숙
    • 복식문화연구
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    • 제9권5호
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    • pp.770-782
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    • 2001
  • The definite objects of this study are as follows; 1. The study presents the methods of the designing collar pattern and bodice pattern by each concrete object after comparing and analyzing the factors among the features which are in need of clothes designing. 2. The object of this study is to make body-suitable ready-made clothes by comparing and analyzing the methods of designing collar pattern and bodices pattern presented by each concrete objects and Bunka Pattern. The results of this study are as follows; 1 . The results of this study developed the body-suitable bodice pattern of bend-forward type, straight type and lean-back type Compared with the Bunka pattern by physical function test, this study was rated high in the aspects of the shape of neck and shoulder. 2. The collar pattern was designed according to each type. The front center rising point of straight type is 2.5cm, lean-back type is 3.0cm and bend-forward type is 1.5cm. Compared with the Bunka pattern by physical function test, this study is rated high in the aspects of the shape. To confirm the increase and change of the measure definitely, the complete examination of each subject is necessary. This developed and investigated pattern must be supplemented more by comparing and analyzing with other pattern and body types.

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출토금속 문화재의 보존과 현황 (The Conservation and Current Condition of the Excavated Metallic Objects)

  • 문환석
    • 보존과학회지
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    • 제6권2호
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    • pp.141-148
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    • 1997
  • 각종 국토개발사업이 본격적으로 시작된 1970년대 이후 그에 따른 발굴조사도 매년 증가되고 있다. 다양한 재질로 이루어진 유물은 출토후 보관환경에 따라 돌이킬 수 없는 손상을 받을 수 있다. 출토 유물의 보존에 대한 중요성은 증가되고 있으나, 발굴을 담당하는 기관과 비교하여, 출토된 유물을 보존처리하는 기관은 소수에 불과한 실정이다. 일반적으로 출토된 금속유물은 불안정하여 쉽게 손상되어진다. 특히 주조철제는 발굴후 건조되지 않도록 해야 한다. 이는 출토된 주조철제가 흙, 부식층과 금속심으로 이루어진 층 사이에서 건조로 인해 유물이 순간적으로 붕괴되어지기 때문이다. 출토된 금속유물의 안전한 보존방법은 다음과 같이 요약할 수 있다. (1)먼저 발굴현장에서 금속유물은 환경변화에 따른 손상을 방지하기 위해 유물포장용 특수비닐로 밀봉처리 하거나 알칼리 용액속에 침적시키는 것이다. (2)현장에서 임시 보존처리후 유물은 보존처리실에서 안전한 방법에 의한 처리를 해야 한다. (3)처리된 유물은 일정한 온${\cdot}$습도 유지, 주기적인 상태조사, 자외선 차단 등 안정한 보관환경을 유지시켜야만 재부식을 방지할 수 있다.

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