• Title/Summary/Keyword: 해리스

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A Study on the Harris's Thought and Classification Scheme (해리스의 사상과 분류법에 관한 연구)

  • Kim, Jeong-Hyen
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.21 no.2
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    • pp.69-80
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    • 2010
  • This study analyzed the Harris's philosophical ideas, American library classification in the Harris's era, and relationship to Bacon, Hegel, DDC based on the Harris's classification system. As is generally known so far, Harris himself described to have derived his classification from inverted Baconian arrangement. It is nowhere to be found that Harris reflected on Hegel's philosophical ideas in his scheme. But on this study, Harris was a Hegelian and a leading American exponent of ideas of Hegel at that time. So we can analogize being reflected on Hegelian philosophy in the Harris's scheme and actually the Hegelian basis can be founded for much of Harris's scheme. Also we can find that Harris's scheme springs directly from Bacon and indirectly Johnston's scheme.

Developing and Adapting an Emotion Model Using Colors for an Emotion Expression (감정표현의 직관성을 향상시키기 위한 색상을 이용한 감정모델의 개발과 적용)

  • Yeo, Ji-Hye;Chung, Myung-Bum;Ham, Jun-Seok;Park, Jun-Hyoung;Ko, Il-Ju
    • 한국HCI학회:학술대회논문집
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    • 2008.02a
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    • pp.152-157
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    • 2008
  • The human uses the optic plentifully that an emotion the human knowledge. by the light it perceives the object and we live middle of color together. The color is close relation in our life. against a color from in many the optic information it is sensitive and it accepts. Therefore if expresses a emotion with color, human knowledge there is a probably of accepting intuition. The purpose of this dissertation to The emotion expression which uses a hue and the hue which leads the relationship research of emotion. In emotional circle of Plutchik, It selects the emotion where becomes the basic and the hue which similar has an impression and feature from the Harris of Moses Harris it searches emotion to use a hue circle with the method which it makes the emotion it expresses. Examines satisfaction of hue and emotion for emotion expression. The magnetic pole of emotion continuously comes in, There must be it will be able to confirm change of many emotion as a real-time. The shooting game the magnetic pole of multi emotion continuously comes in, Because it will be able to confirm the change of emotion as a real-time, suitable the applies for the research of emotion expression Consequently, The application it tried with character hue of shooting game.

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Harris Corner Points Based Disparity Search Range Estimation (해리스 코너 포인트 기반의 변이 탐색 범위 추정 방법)

  • Kim, Dong Hyun;Ham, Bumseop;Sohn, Kwanghoon
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2011.07a
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    • pp.42-45
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    • 2011
  • 3차원 영상과 더불어 스테레오 영상의 관심이 늘어남에 따라 좌, 우 영상의 매칭을 통해 변이를 추정하는 연구가 활발하게 진행되고 있다. 본 논문에서는 변이 추정을 위해 많이 사용되는 영역 기반(Block-based)의 전체 탐색 알고리즘보다 효율적이고 계산량이 적은 변이 추정을 할 수 있도록 변이 탐색 범위를 제공해주는 방법을 제안한다. 제안되는 알고리즘은 해리스 코너 포인트 검출기를 이용하여 좌, 우 영상 각각의 특징 점을 추출한 후, 특징 점의 정보를 이용하여 스테레오 매칭을 한다. 스테레오 매칭 시 이를 히스토그램화 하여 좌, 우 영상의 변이 추정을 위한 탐색 범위를 제공한다.

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Vision based Object Recognition for Autonomous Robot Navigation (로봇의 자율 항해를 위한 비전기반의 객체 인식)

  • Kim, Kwon;Lee, Chang-Woo;Xu, Sudan;Cui, Yao-Huan
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2008.06a
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    • pp.205-209
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    • 2008
  • 본 논문은 입력되는 영상에서 특정 객체를 찾기 위하여 특징 검출 및 매칭 결과를 분석하여 기술한다. 영상의 특징을 추출하는 방법 중 코너를 특징으로 하는 방법인 해리스 코너 검출(Harris corner detection)을 이용하여 코너를 추출하였으며, 추출한 특징을 이용하여 다양한 크기의 템플릿을 만들어 입력된 영상과 상관계수를 구해 최대값을 가지는 위치를 찾아 입력된 영상과 객체를 매칭 시킨 결과를 분석하였다. 본 논문의 연구 결과들은 객체의 탐지 등과 같은 영상 분석 기반 기술에 활용될 수 있으리라 기대된다.

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Image Transformation Invariant Harris Corner Selection Method Using Local Maxima and Sorting (국부 최대값과 정렬을 이용한 영상 변형에 강인한 해리스 특징점 선택 방법)

  • Lee, Jun-Woo;Cho, Ik-Hwan;Cho, A-Young;Lee, Ki-Sun;Jeong, Dong-Seok
    • Proceedings of the IEEK Conference
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    • 2007.07a
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    • pp.243-244
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    • 2007
  • 다양한 디지털 컨텐츠를 검색하기 위해 다양한 디스크립터(Descriptor)가 제안되어 왔다. 그 중 특징점을 기반으로 하는 디스크립터를 이용하여 원본 영상과 기하학적 변형을 포함하는 다양한 변형 영상을 서로 정확하게 정합시키기 위해서는 각 영상에서 동일한 위치에 동일한 개수의 특징점이 추출되는 것이 유리하다. 본 논문에서는 널리 사용되고 있는 해리스(Harris) 특징점 추출 방법을 기반으로 국부 최대값과 정렬을 이용하여 원하는 개수의 특징점을 선택하는 방법을 제안한다.

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Change in Gait Parameters by Arm Sling Types in Healthy Adults (팔걸이 형태에 따른 정상인의 보행변수 변화)

  • Lee, Ok-Kyoung;An, Duk-Hyun
    • The Journal of the Korea Contents Association
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    • v.10 no.5
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    • pp.267-276
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    • 2010
  • The purpose of this study was to investigate the variations in gait parameters according to arm slings used in healthy adults. Twenty healthy adults (9 males, 11 females) participated in this study and walked at self-selected speeds on a GAITRite-instrumented carpet. They were randomly assigned conditions: without an arm sling, a care sling, a Harris hemi arm sling, a CVA sling, and a Rolyan humeral cuff sling. The following gait parameters were analyzed: the temporo-spatial parameters of gait velocity, swing phase, single support, cadence. In the comparison of parameters in each trial, step length was statistically significantly changed(p=.002). The right step length was significantly decreased in the Harris hemi arm sling and increased in the Rolyan humeral cuff sling when compared with no sling. This study found that several different types arm slings varied gait pattern in healthy adults.

Character Detection in Complex Scene Image using Harris Corner Detector (해리스 코너 검출기를 이용한 배경 영상에서의 문자 검출)

  • Kim, Min-ha;Kim, Mi-kyung;Cha, Eui-young
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2013.10a
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    • pp.97-100
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    • 2013
  • In this paper, we propose a detection method of the character rather than cursive, containing many components of the vertical and horizontal direction in complex background image. The characters have many dense corners but the background has few sparse corners. So we use harris corner detector and cluster the corners by using the position of the detected corners for detecting character regions. To merge or filter character regions, we analysis a histogram of gray image of character regions. In each improved region, we compare histograms of R, G, B channels to detect characters.

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Text Region Extraction from Videos using the Harris Corner Detector (해리스 코너 검출기를 이용한 비디오 자막 영역 추출)

  • Kim, Won-Jun;Kim, Chang-Ick
    • Journal of KIISE:Software and Applications
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    • v.34 no.7
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    • pp.646-654
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    • 2007
  • In recent years, the use of text inserted into TV contents has grown to provide viewers with better visual understanding. In this paper, video text is defined as superimposed text region located of the bottom of video. Video text extraction is the first step for video information retrieval and video indexing. Most of video text detection and extraction methods in the previous work are based on text color, contrast between text and background, edge, character filter, and so on. However, the video text extraction has big problems due to low resolution of video and complex background. To solve these problems, we propose a method to extract text from videos using the Harris corner detector. The proposed algorithm consists of four steps: corer map generation using the Harris corner detector, extraction of text candidates considering density of comers, text region determination using labeling, and post-processing. The proposed algorithm is language independent and can be applied to texts with various colors. Text region update between frames is also exploited to reduce the processing time. Experiments are performed on diverse videos to confirm the efficiency of the proposed method.

The Effects Analysis of Smoothing on Conner Detect (평활화가 모서리 검출에 미치는 영향 분석)

  • Choi, Yeonsung
    • Proceedings of the Korea Contents Association Conference
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    • 2016.05a
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    • pp.457-458
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    • 2016
  • KLT 알고리즘은 자기상관성을 이용하여 선정한 물체의 모서리(conner)를 추적할 특징으로 삼는데, 여기서 사용할 모서리를 검출하는 데는 Harris 방법이 많이 쓰인다. 해리스 방법에서는 강도(intensity)의 미분치를 평활화(smoothing)한 후 고유치를 구해서 모서리인지 에지인지를 판별하게 되는데, 본 논문에서는 평활화가 모서리검출의 성능에 미치는 영향을 밝힌다.

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