3차원 영상 객체 휴먼팩터 알고리즘 측정에 관한 연구

최병관,Choi, Byungkwan 디지털산업정보학회 2018 디지털산업정보학회논문지 Vol.14 No.2

The 4th industrial revolution, digital image technology has developed beyond the limit of multimedia industry to advanced IT fusion and composite industry. Particularly, application technology related to HCI element algorithm in 3D image object recognition field is actively developed. 3D image object recognition technology evolved into intelligent image sensing and recognition technology through 3D modeling. In particular, image recognition technology has been actively studied in image processing using object recognition recognition processing, face recognition, object recognition, and 3D object recognition. In this paper, we propose a research method of human factor 3D image recognition technology applying human factor algorithm for 3D object recognition. 1. Methods of 3D object recognition using 3D modeling, image system analysis, design and human cognitive technology analysis 2. We propose a 3D object recognition parameter estimation method using FACS algorithm and optimal object recognition measurement method. In this paper, we propose a method to effectively evaluate psychological research techniques using 3D image objects. We studied the 3D 3D recognition and applied the result to the object recognition element to extract and study the characteristic points of the recognition technology.

히스토그램 현 탐색방식에 의한 레이다 표적 분할 알고리즘

최병관,김환우,Choi, Beyung-Gwan,Kim, WhAn-Woo 대한전자공학회 2005 電子工學會論文誌-SP (Signal processing) Vol.42 No.6

적응 분할 알고리즘은 국부 비 균질 영상에서 효율적인 표적 탐지를 위해 사용된다. 지금까지 영상 분할에 여러 가지 적응방법이 제안되었다. 하지만 이들 알고리즘이 레이다 표적 탐지에 바로 적용하기는 어려운데 이는, 레이다 자체 신호 특성 때문이다. 일반적으로 레이다 표적은 배경신호에 비해 상대적으로 적은 도수 함수를 갖고 있으며, 배경 분포는 외부환경에 따라 다양한 형태를 갖는다. 본 논문에서는 도수함수의 최대 값에서 우측 하향 직선인 히스토그램 현을 이용한 적응 표적분할 알고리즘을 제안한다. 제안한 방식은 임계값 탐색에 사용되는 적용 현이 외부환경조건에 영향을 적게 받음으로 인해 다양한 레이다 환경에 최적인 임계 값을 선택한다. 시뮬레이션 결과, 제안한 알고리즘이 기존 표적분할알고리즘인 전역 임계 값 방법 및 분포 중앙값 추정방식에 비해 탐지성능측면에서 우수함을 보였다. An adaptive segmentation algorithm is used to efficiently target decisions in local non-stationary images. Until now, several adaptive approaches have been proposed as a method of segmentation. However, they can't be directly used for radar target detection because a radar signal has different characteristics from general images. Generally, a histogram of radar signal shows that targets have a relatively small number of frequency functions compared to the background and distribution of background, which have several shapes as the environment changes. In this paper, we propose an adaptive segmentation algorithm using a histogram chord which is a right-down line from maximum pick of frequency function. The proposed method provides thresholds which are optimum for several radar environments because the used chord for threshold search is not significantly effected by interference conditions. Simulation results show that the proposed method is superior to the traditional algorithms, global threshold method and distribution median method, with respect to detection performance.

다면기법 SPFACS 영상객체를 이용한 AAM 알고리즘 적용 미소검출 설계 분석

최병관,Choi, Byungkwan 디지털산업정보학회 2015 디지털산업정보학회논문지 Vol.11 No.3

Digital imaging technology has advanced beyond the limits of the multimedia industry IT convergence, and to develop a complex industry, particularly in the field of object recognition, face smart-phones associated with various Application technology are being actively researched. Recently, face recognition technology is evolving into an intelligent object recognition through image recognition technology, detection technology, the detection object recognition through image recognition processing techniques applied technology is applied to the IP camera through the 3D image object recognition technology Face Recognition been actively studied. In this paper, we first look at the essential human factor, technical factors and trends about the technology of the human object recognition based SPFACS(Smile Progress Facial Action Coding System)study measures the smile detection technology recognizes multi-faceted object recognition. Study Method: 1)Human cognitive skills necessary to analyze the 3D object imaging system was designed. 2)3D object recognition, face detection parameter identification and optimal measurement method using the AAM algorithm inside the proposals and 3)Face recognition objects (Face recognition Technology) to apply the result to the recognition of the person's teeth area detecting expression recognition demonstrated by the effect of extracting the feature points.

영상객체 spFACS ASM 알고리즘을 적용한 얼굴인식에 관한 연구

최병관,Choi, Byungkwan 디지털산업정보학회 2016 디지털산업정보학회논문지 Vol.12 No.4

Digital imaging technology has developed into a state-of-the-art IT convergence, composite industry beyond the limits of the multimedia industry, especially in the field of smart object recognition, face - Application developed various techniques have been actively studied in conjunction with the phone. Recently, face recognition technology through the object recognition technology and evolved into intelligent video detection recognition technology, image recognition technology object detection recognition process applies to skills through is applied to the IP camera, the image object recognition technology with face recognition and active research have. In this paper, we first propose the necessary technical elements of the human factor technology trends and look at the human object recognition based spFACS (Smile Progress Facial Action Coding System) for detecting smiles study plan of the image recognition technology recognizes objects. Study scheme 1). ASM algorithm. By suggesting ways to effectively evaluate psychological research skills through the image object 2). By applying the result via the face recognition object to the tooth area it is detected in accordance with the recognized facial expression recognition of a person demonstrated the effect of extracting the feature points.

변별기 추정방식을 적용한 다기능 레이다용 거리 및 속도 측정 알고리즘 성능 분석

최병관,이범석,김환우,Choi Beyung Gwan,Lee Bum Suk,Kim Whan Woo 대한전자공학회 2005 電子工學會論文誌-SP (Signal processing) Vol.42 No.1

거리 및 속도 측정 알고리즘은 거리 및 도플러 주파수 영역에서 등 간격으로 구성된 정합필터 출력을 이용하여 정밀한 표적 위치를 추정하는 과정이다. 특히 다기능 레이다용 측정 알고리즘은 동시에 다 표적 추적이 가능하도록 정밀도 뿐만 아니라 수행시간에 대한 고려가 필요하다. 본 논문에서는 모노 펄스(monopulse) 레이다 각도추정에 사용되는 변별기(discriminator)추정방식을 거리 및 속도 측정에 적용하여 알고리즘 성능분석 결과를 제시한다. 적용된 추정방법은 추정 시 수행시간이 일정하므로 다중 표적 추적에 적합하다. 하지만 최소한의 채널 출력만을 이용한 추정방법이므로 측정 정밀도에 대한 고려가 필요하다. 컴퓨터 모의실험을 통해 기존 무게중심 추정방식의 측정 알고리즘과 정밀도 측면에서 성능을 비교하여 적용한 방법의 우수성을 보이고, 또한 펄스 폭, 채널 간격 등 프로세싱 변수 변화에 따른 RMS 에러 계산을 통해 알고리즘 자체 특성을 분석한다. Range and velocity measurement algorithm is a procedure for estimating the accurate target position by using matched filter outputs equally spaced both in range and doppler frequency domain. Especially, in measurement algorithm for multi-function radar, it is necessary to consider processing time as well as accuracy in order to track multi-targets simultaneously. In this paper, we analyze range and velocity measurement algorithm using discriminator estimation method which is a technique applied to angle measurement of monopulse radar. The applied method required constant processing time for estimation can be used in multiple target tacking. But, it is necessary to consider measurement accuracy because of using minimum channel outputs for estimation. In the simulation, we show that the applied method is superior to the traditional gravity center measurement algorithm with respect to the accuracy performance and also analyze the characteristics of the proposed technique by calculating RMS error level as the processing parameters such as pulse width , channel step, etc. change.

적응표적 탐지용 레이다 환경 분류기 구현

최병관,최인식,김환우,Choi, Beyimg-Gwan,Choi, In-Sik,Kim, Whan-Woo 대한전자공학회 2005 電子工學會論文誌-SP (Signal processing) Vol.42 No.5

기존 적응 표적 탐지 기법의 경우 클러터 특성이 변하는 비 균일 클러터 상황에서는 만족할 만한 탐지성능을 갖지 못한다. 이는 레이다 좌표 공간상으로 변하는 클러터 파라미터를 신호처리 과정에 효과적으로 적용시키지 못함으로 인해 발생한다. 이러한 문제를 해결하기 위해서는 클러터 환경에 따른 적용 알고리즘 선택 및 선택된 알고리즘의 파라미터 추출을 가능하게 하는 클러터 분류기 사용이 요구된다 본 논문은 이러한 목적으로 구현된 클러터 환경 분류기에 대하여 기술한다. Visual C++ 환경에서 구현된 본 환경 분류 소프트웨어에서는 적응신호처리에 필요한 파라미터 값 추출 및 알고리즘 선택이 가능하며, 또한 단계별 알고리즘의 수행 결과도 확인할 수 있다. The conventional adaptive detectors can not maintain sufficient detection performance at the presence of non-stationary clutter with unknown characteristics. This is caused by the lack of a priori information about clutter parameters changing over radar coordinates. To solve this problem, it is necessary to use clutter classifiers which have functions, such as the selection of the applied algorithm and its parameters extraction according to clutter conditions. In this paper, we describe the implementation of a clutter environment classifier for adaptive processing. In the environment classifier implemented on Visual C++, the extraction of the parameters and selection of processing algorithm for the adaptive processing unit are possible, and the result of algorithms can be verified at each stage.

학교시설을 위한 교육명세서 기준개발에 관한 연구(1)

최병관(Choi, Byung-Kwan),박영숙(Park, Young-Sook) 한국교육시설학회 2005 敎育施設 Vol.12 No.6

The purpose of this study is to suggest educational specification describing the school facilities necessary for operating educational curricula in relation to modernization of school facilities. It is required to make out the educational specification as one of procedures needed for driving the modernization of school facilities. The specification, however, has not made out yet in Korea. Educational specification is composed of followings: (1) organization of committee of educational specification, (2) site for a school and land to be expropriated, (3) guideline to form and operate curricula, (4) requisites to form space for school facilities, and (5) plan and process to construct school. Various methods such as literature study, questionnaires survey, workshop, interviews, etc. were utilized to develop educational specification.

제주 서중학교 신축설계 기본계획 연구

최병관(Choi, Byung-Kwan),조도연(Cho, Do-Yeun),양택훈(Yang, Taek-Hoon) 한국교육시설학회 2004 敎育施設 Vol.11 No.3

학교 보건실의 공간구성에 관한 기초연구

최병관(Choi, Byoung-Kwan),류호섭(Rieu, Ho-Seop) 한국교육시설학회 2008 敎育施設 Vol.15 No.1

The purpose of the study is to provide design guidelines and space structure of health rooms for elementary and middle schools. In order to do that, with the subject of health teachers from 96 schools in Seoul city, which remodeled the health rooms in 2005 and 2006, the research was carried out. Through the research, we organized the collected opinions and current situation about the procedures of the promotion, size, location and space formation. Based on that, we could acquire a better grasp of a type of space structure for the guidelines. From the research, we realized that in terms of location, size, and internal space structure, it has been improved compared to the past. However, we also saw more rooms for improvements in the coming future. We believe that such result will be utilized as the basic information for the roadmap of new space structure of health rooms at current schools and new schools.

[발언과 논평] 교육혁신을 선도하는 학교공간혁신

최병관(Choi, Byung Kwan) 대한건축학회 2020 建築 Vol.64 No.11