• Title/Summary/Keyword: 표정점

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Application of CCD Image by Direct Georeferencing (Direct Georeferencing에 의한 CCD 영상의 적용기법)

  • Song Youn Kyung;Park Woon Yong;Park Hong Gi
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.23 no.1
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    • pp.77-88
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    • 2005
  • Direct Georeferencing (DG) is based on the direct measurement of the projection centers and rotation angle of sensor through loading the GPS and INS in aircraft. The methods can offer us to acquire the exterior orientation parameters with only minimum GCPs, even the ground control process could be completely skipped. In this study, a CCD camera is simultaneously used in GPS/INS, and acquired CCD image through Direct Georeferencing produce digital orthoimage. In this process, methods of combining sensor and digital orthoimage are examined and estimated. For the comparison of the positioning accuracy digital orthoimage through Direct Georeferencing, GCPs determined by GPS surveying are used. Two digital orthoimage are produced; one with a few GCP and the other without them. The produced maps can be used to correct or revised 1:1,000 or 1:5,000 scale maps accordingly.

Recognition of Facial Expressions Using Muscle-eased Feature Models (근육기반의 특징모델을 이용한 얼굴표정인식에 관한 연구)

  • 김동수;남기환;한준희;박호식;차영석;최현수;배철수;권오홍;나상동
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 1999.11a
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    • pp.416-419
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    • 1999
  • We Present a technique for recognizing facial expressions from image sequences. The technique uses muscle-based feature models for tracking facial features. Since the feature models are constructed with a small number of parameters and are deformable in the limited range and directions, each search space for a feature can be limited. The technique estimates muscular contractile degrees for classifying six principal facial express expressions. The contractile vectors are obtained from the deformations of facial muscle models. Similarities are defined between those vectors and representative vectors of principal expressions and are used for determining facial expressions.

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Analysis of Block Geometry of UltraCamX (UltraCamX 카메라의 블록기하 분석)

  • Lee, Seung Bok;Lee, Jae One;Cha, Sung Yeoul;Yun, Bu Yeol
    • Journal of Korean Society for Geospatial Information Science
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    • v.21 no.2
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    • pp.45-51
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    • 2013
  • Today, people who live in sea of information are strongly appearing desire about quicker and more accurate information. For a long time people wanted to know information about place that I am and where I must go out, and there are various methods to have a keen desire for position information. Equipment that is using most among the method is digital camera. In this study, the accuracy of external orientation, GCP and check point depending on array of GCP and regional feature are analyzed after AT(aerial triangulation) with UltraCamX in three selected study area with specific feature. As analysis result, we could get to know that area with a mountainous district rapidly decreased accuracy of external orientation according as number of GCP decreases, and area with high buildings became low in vertical accuracy of checkpoint. This study has performed the analysis of regional factors in aerial triangulation accuracy.

Generation of Digital Orthoimage using Direct Georeferencing (외부표정요소 직접결정에 의한 수치정사영상 생성)

  • Song Youn-Kyung
    • Spatial Information Research
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    • v.13 no.1 s.32
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    • pp.55-63
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    • 2005
  • Direct Georeferencing(DG) Is based on the direct measurement of the projection centers and rotation angle of sensor through loading the GPS and INS in aircraft. The methods can offer us to acquire the exterior orientation parameters with only minimum GCPs, even the ground control process could be completely skipped. Hence, as long as securing Digital Elevation Model (DEM), it is feasible to generate digital orthophotos without performing the aerial triangulation with Ground Control Point (GCP) surveying. In this study, the DEM is automatically generated by using a image matching technique based on aerial photos and exterior orientation parameters. This is followed by producing an orthophoto from these results. Finally, accuracy analysis of the georeferencing technique for generating orthoimage indicates that RMS errors of 62cm and 76cm occurred at the X and the Y axis, respectively. This means that the results fulfill the demanding accuracy of the 1:5000 digital map. Hence, it is possible to conclude from this study that the direct georeferencing based orthoimage generation method is able to effectively digital map update.

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The Impact of Gesture and Facial Expression on Learning Comprehension and Persona Effect of Pedagogical Agent (학습용 에이전트의 제스처와 얼굴표정이 학습이해도 및 의인화 효과에 미치는 영향)

  • Ryu, Jeeheon;Yu, Jeehee
    • Science of Emotion and Sensibility
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    • v.16 no.3
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    • pp.281-292
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    • 2013
  • The purpose of this study was to identify the effect of gesture and facial expression on persona effects. Fifty-six college students were recruited for this study, and non-verbal communication skills were applied to a pedagogical agent with gesture (conversational vs. deictic) and facial expression. The conversational gesture may have relationship with social interaction hypothesis of pedagogical agent while the deictic gesture may have relationship with attentional guidance hypothesis. The facial expression can be assumed to facilitate the social interaction between the pedagogical agent and learners. Interestingly, the conversational gesture group showed a tendency of outperforming the deictic gesture group. It may imply that the social interaction theory has a strong impact on cognitive support as well as social interaction for learners. There was a significant interaction effect on the engagement when both of facial expression and conversational gesture were applied. This result has two implications. First, facial expression can facilitate the persona effect for engagement.

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Dynamic Facial Expression of Fuzzy Modeling Using Probability of Emotion (감정확률을 이용한 동적 얼굴표정의 퍼지 모델링)

  • Kang, Hyo-Seok;Baek, Jae-Ho;Kim, Eun-Tai;Park, Mignon
    • Journal of the Korean Institute of Intelligent Systems
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    • v.19 no.1
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    • pp.1-5
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    • 2009
  • This paper suggests to apply mirror-reflected method based 2D emotion recognition database to 3D application. Also, it makes facial expression of fuzzy modeling using probability of emotion. Suggested facial expression function applies fuzzy theory to 3 basic movement for facial expressions. This method applies 3D application to feature vector for emotion recognition from 2D application using mirror-reflected multi-image. Thus, we can have model based on fuzzy nonlinear facial expression of a 2D model for a real model. We use average values about probability of 6 basic expressions such as happy, sad, disgust, angry, surprise and fear. Furthermore, dynimic facial expressions are made via fuzzy modelling. This paper compares and analyzes feature vectors of real model with 3D human-like avatar.

Accuracy Analysis of Combined Block Adjustment with GPS/INS Observations Considering Photo Scale (사진축적을 고려한 GPS/INS 항공사진측량 블록조정의 정확도 분석)

  • Lee Jae One
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.23 no.3
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    • pp.323-330
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    • 2005
  • More than ten years after the era of GPS-Photogrammetry which could provide us only three projection center of all six exterior orientation parameters, direct georeferencing with GPS/INS is now becoming a standard method for image orientation. Its main advantage is to skip or reduce the indirect ground control process. This paper describes the experimental test results of integrated sensor orientation with a commercial GPS/IMU system to approve its performance in determination of exterior orientation. For this purpose two different imaging blocks were planned and the area was photographed at a large photo scale of 1:5,000 and a medium photo scale of 1:20,000. From these data set a variety of meaningful results was acquired, i.e., the accuracy. potential of exterior orientation from direct georeferencing and combined block adjustment using these data considering different photo scales and conditions.

Study on the Railway Fault Locator Impedance Prediction Method using Field Synchronized Power Measured Data (실측 동기화 데이터를 활용한 교류전기철도의 고장점표정장치 임피던스 예측기법 연구)

  • Jeon, Yong-Joo;Kim, Jae-chul
    • Journal of the Korean Society for Railway
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    • v.20 no.5
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    • pp.595-601
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    • 2017
  • Due to the electrification of railways, fault at the traction line is increasing year by year. So importance of the fault locator is growing higher. Nevertheless at the field traction line, it is difficult to locate accurate fault point due to various conditions. In this paper railway feeding system current loop equation was simplified and generalized though measured data. And substation, train power data were measured under synchronized condition. Finally catenary impedance was predicted through generalized equation. Also simulation model was designed to figure out the effect of load current for train at same location. Train current was changed from min to max range and catenary impedance was compared at same location. Finally, power measurement was performed in the field at train and substation simultaneously and catenary system impedance was predicted and calculated. Through this method catenary impedance can be measured more easily and continuously compared to the past method.

Emotion Recognition of Facial Expression using the Hybrid Feature Extraction (혼합형 특징점 추출을 이용한 얼굴 표정의 감성 인식)

  • Byun, Kwang-Sub;Park, Chang-Hyun;Sim, Kwee-Bo
    • Proceedings of the KIEE Conference
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    • 2004.05a
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    • pp.132-134
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    • 2004
  • Emotion recognition between human and human is done compositely using various features that are face, voice, gesture and etc. Among them, it is a face that emotion expression is revealed the most definitely. Human expresses and recognizes a emotion using complex and various features of the face. This paper proposes hybrid feature extraction for emotions recognition from facial expression. Hybrid feature extraction imitates emotion recognition system of human by combination of geometrical feature based extraction and color distributed histogram. That is, it can robustly perform emotion recognition by extracting many features of facial expression.

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