• Journal of the Institute of Electronics Engineers of Korea SP
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• v.42 no.2 s.302
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• pp.101-112
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• 2005

As we perceive the world as 3-dimensional through our two eyes, we can extract 3-dimensional information from stereo images obtained from two or more cameras. Since stereo images have a large amount of data, with recent advances in digital video coding technology, efficient compression algorithms have been developed for stereo images. In order to compress stereo images and to obtain 3-D information such as depth, we find disparity vectors by using disparity estimation algorithm generally utilizing pixel differences between stereo pairs. However, it is not unusual to have stereo images having different intensity values for several reasons, such as incorrect control of the iris of each camera, disagreement of the foci of two cameras, orientation, position, and different characteristics of CCD (charge-coupled device) cameras, and so on. The intensity differences of stereo pairs often cause undesirable problems such as incorrect disparity vectors and consequent low coding efficiency. By compensating intensity differences between left and right images, we can obtain higher coding efficiency and hopefully reduce the perceptual burden of brain to combine different information incoming from two eyes. We propose several methods of intensity compensation such as local intensity compensation, global intensity compensation, and hierarchical intensity compensation as very simple and efficient preprocessing tool. Experimental results show that the proposed algerian provides significant improvement in coding efficiency.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.6
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• pp.379-388
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• 2016

High school and college students majoring in dance have different types of stress because of their different circumstances and goals. The purpose of this study was to investigate the relation between multidimensional perfectionism and eating disorder in high school and college students who are majoring in dance. Questionnaires for eating disorder (Eating Disorder Inventory-2(EDI-2) made by Garner (1990) and adapted by Lee (1998)) and multidimensional perfectionism (Multidimensional Perfectionism Scale(F-MPS) made by Frost (1990) and translated by Hyun (1992) were utilized after the sentences in the questionnaires were partially revised and (rendered more appropriate for?) the purpose of this study. The questionnaires were completed by all of the subjects (n=250), but 32 of them were excluded due to insincere answers. Thus, a total of 218 questionnaires were analyzed using SPSS version 21.0. The results showed that the students with a higher education level and who were more career oriented were more likely to suffer from multidimensional perfectionism and eating disorder. In addition, multidimensional perfectionism (concern about mistakes, constant personal and parental expectation) resulted in the development and maintenance of eating disorder for the students majoring in dance. In conclusion, higher education level and greater career orientation induce greater stress in dance major students and cause them to have an incorrect physical image. Thus, these factors may cause higher psychological pressure leading to multidimensional perfectionism and eating disorder. Therefore, these students need to know how to correctly manage their body weight and how to prevent eating disorder.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.31 no.6_1
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• pp.503-509
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• 2013

The KOMPSAT-3 (Korea Multi-Purpose Satellite-3), was launched on May 18, 2012, is an optical high-resolution observation mission of the Korea Aerospace Research Institute and provides RPC(Rational Polynomial Coefficient) for ground coordinate determination. It is however need to adjust because RPC absorbs effects of interior-exterior orientation errors. In this study, to obtain the suitable adjustment parameters of the vendor-provided RPC of the KOMPSAT-3 images, six types of adjustment models were implemented. As results, the errors of two and six adjustment parameters differed approximately 0.1m. We thus propose the two parameters model, the number of control points are required the least, to adjust the KOMPSAT-3 R PC. According to the increasing the number of control points, RPC adjustment was performed. The proposed model with a control point particularly did not exceed a maximum error 3m. As demonstrated in this paper, the two parameters model can be applied in RPC adjustment of KOMPSAT-3 stereo image.