• Title/Summary/Keyword: Gray Compensation

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Glasses Removal from Facial Images with Recursive PCA Reconstruction (반복적인 PCA 재구성을 이용한 얼굴 영상에서의 안경 제거)

  • 오유화;안상철;김형곤;김익재;이성환
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.41 no.3
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    • pp.35-49
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    • 2004
  • This paper proposes a new glasses removal method from color frontal facial image to generate gray glassless facial image. The proposed method is based on recursive PCA reconstruction. For the generation of glassless images, the occluded region by glasses should be found, and a good reconstructed image to compensate with should be obtained. The recursive PCA reconstruction Provides us with both of them simultaneously, and finally produces glassless facial images. This paper shows the effectiveness of the proposed method by some experimental results. We believe that this method can be applied to removing other type of occlusion than the glasses with some modification and enhancing the performance of a face recognition system.

Hybrid Neural Classifier Combined with H-ART2 and F-LVQ for Face Recognition

  • Kim, Do-Hyeon;Cha, Eui-Young;Kim, Kwang-Baek
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.1287-1292
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    • 2005
  • This paper presents an effective pattern classification model by designing an artificial neural network based pattern classifiers for face recognition. First, a RGB image inputted from a frame grabber is converted into a HSV image which is similar to the human beings' vision system. Then, the coarse facial region is extracted using the hue(H) and saturation(S) components except intensity(V) component which is sensitive to the environmental illumination. Next, the fine facial region extraction process is performed by matching with the edge and gray based templates. To make a light-invariant and qualified facial image, histogram equalization and intensity compensation processing using illumination plane are performed. The finally extracted and enhanced facial images are used for training the pattern classification models. The proposed H-ART2 model which has the hierarchical ART2 layers and F-LVQ model which is optimized by fuzzy membership make it possible to classify facial patterns by optimizing relations of clusters and searching clustered reference patterns effectively. Experimental results show that the proposed face recognition system is as good as the SVM model which is famous for face recognition field in recognition rate and even better in classification speed. Moreover high recognition rate could be acquired by combining the proposed neural classification models.

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The Impact of Outside Directors' Characteristics on Performance: Focused on KOSDAQ and NASDAQ IPO Firms (사외이사 특성과 주식성과 : KOSDAQ, NASDAQ IPO기업을 중심으로)

  • Jeon, Ho-Jin
    • Management & Information Systems Review
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    • v.29 no.1
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    • pp.1-23
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    • 2010
  • This study examines the impacts of outside directors' characteristics and compensation on stock performances of KOSDAQ and NASDAQ IPO firms. The results of this study indicated the following interesting results. First, there is no significant relation between outside directors' age and CARs on KOSDAQ firms. while significant positive relation between outside directors' age and CARs on NASDAQ firms. And the elder age group shows a more positive impact on performances compared with the younger age group. Second, there is no relation between outside directors' academic background and CARs for KOSDAQ firms. But We find a significantly positive one for NASDAQ firms. Third, In Relation to outside directors' careers, their professional or CEO careers group have more positive impact on stock performances than gray directors' careers group. Lastly, there is an insignificant negative relation between the outside directors' compensation and CARs for KOSDAQ firms. while there is a positive relative for NASDAQ firms. In particular, there is a significant positive relative between value of stock options and CARs for NASDAQ firms. from the result, I could find out the stock option for outside' directors have a positive influence on firm value.

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The Availability Examination for Vegetation Measurement of The SLR Digital Camera (SLR 디지털카메라의 식생관측센서로서의 유효성 검토)

  • Kim, Jong-Hwan;Kim, Eung-Nam;Jun, Byung-Dug;K., Sugiyama
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.27 no.1
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    • pp.683-692
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    • 2009
  • On-site remote sensing technique by using single lens reflex(SLR) digital camera will be expected as the useful tool for the vegetation measurement field such as a crop growth management, the monitoring of revegetation slope and the evaluation of environment. We reviewed the availability of the vegetation measurement using a digital camera which is sailed for general-purpose. As a result, we could analysis relationship with the illuminance of image plane and incidence energy of multitemporal observation images by doing gamma correction and exposure compensation. And also, we proposed the model formulas for the correction of influences of capturing angle and illuminance. In addition, we obtained high correlation of normalized difference vegetation index(NDVI) between digital camera and spectral photometer.

Finding and Analysis of Defective Elements of an LED Streetlight Lamp Based on the Product Liability (PL에 근거한 LED 가로등의 결함 요소 발굴 및 분석)

  • Kim, Hyang-Kon;Choi, Chung-Seog
    • The Transactions of the Korean Institute of Electrical Engineers P
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    • v.58 no.4
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    • pp.632-632
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    • 2009
  • The purpose of this study is to present the range of defects mentioned in the Product Liability (PL) and to establish an objective basis and grounds for the analysis of accidents expected to happen by analyzing and presenting the external flame pattern and electrical characteristics of an LED streetlight lamp, a new lighting lamp. From the analysis of the cross-section of a cable carbonized by an external flame, it was observed that the wire's strand and insulation material had solidly adhered, and that greater voids were formed at the surface than at the center. Irregular carbide lumps were formed in the globe directly exposed to the flame, and the globe carbonized by the indirect flame showed characteristics that they had melted and flowed downward. It was found that the forward and backward resistances of the normal LED were approximately 1.74 [$M{\Omega}$] and 140 [$M{\Omega}$], respectively. The lamp burnt by the strong flame exhibited infinite forward and backward resistances and the LED did not emit light. The carbonized LED lamp was gray and exhibited fine delaminations. According to the Product Liability, a product defect signifies a simple product defect. Most of the defects were caused by the lack of stability, and the defect of the product itself occurred during the design and manufacture. The defects in warnings and markings include an insufficiency of handling manuals and warnings, expressive warranty violations, defective markings, etc. In order to prevent an accident resulting from a product, it is necessary to prepare safety warnings and documentation, establish clear-cut lines of liabilities, and subscribe insurances. However, it could be seen that important factors against the Product Liability were product improvement, response to compensation requests and law suits, credit restoration, etc.

A Real-time Copper Foil Inspection System using Multi-thread (다중 스레드를 이용한 실시간 동판 검사 시스템)

  • Lee Chae-Kwang;Choi Dong-Hyuk
    • Journal of KIISE:Computing Practices and Letters
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    • v.10 no.6
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    • pp.499-506
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    • 2004
  • The copper foil surface inspection system is necessary for the factory automation and product quality. The developed system is composed of the high speed line scan camera, the image capture board and the processing computer. For the system resource utilization and real-time processing, multi-threaded architecture is introduced. There are one image capture thread, 2 or more defect detection threads, and one defect communication thread. To process the high-speed input image data, the I/O overlap is used through the double buffering. The defect is first detected by the predetermined threshold. To cope with the light irregularity, the compensation process is applied. After defect detection, defect type is classified with the defect width, eigenvalue ratio of the defect covariance matrix and gray level of defect. In experiment, for high-speed input image data, real-time processing is possible with multi -threaded architecture, and the 89.4% of the total 141 defects correctly classified.

Delirium after Head Trauma at Psychiatric Consultation (두부 외상 후 섬망의 자문 정신 의학적 고찰)

  • Kim, Hyon-Chul;Lee, Sang-Chul;Kim, Do-Hoon;Lee, Sang-Kyu;Hong, Seung-Gwan;Son, Bong-Ki
    • Korean Journal of Psychosomatic Medicine
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    • v.12 no.1
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    • pp.15-22
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    • 2004
  • Objectives: Delirium after head trauma results in various cognitive and behavioral dysfunction. This study aimed at developing and validating a predicitive model for clinical improvement after delirium based on precipitating factors during hospitalization Method: Data were collected on 45 patients who developed delirium after head trauma using 5 year retrospective design, based on reviews of medical charts including psychiatric consultation reports. The differences of the group who sustained residual symptoms of delirium(The RS group) and the group of full recovery(The FR group) at 4 week follow-up visits were compared by motoric type of delirium, socio-demographic variables, neuroimaging variables and clinical variables of interest. Result: There was significant difference in reason for initial consultation between two groups, in terms of hyperactivity(p<.01). The presence of compensation claim, subcortical gray matter lesion was significantly associated with the RS group(p<.05). Total length of intensive care unit(ICU) admission and of hospital stay were significantly longer in RS group than FR group(p<.01). Conclusion: This study shows that hyperactivity on initial consultation, compensation claims, specific brain lesion were altogether significant factors in explaining prolonged duration of delirium after head trauma. A simple predictive model based on the presence of precipitating factors might be used to identify delirious patients at high risk for prolonged cognitive dysfunction. Early psychiatric intervention would be required for evaluating efficacious management and shortening admission period.

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