http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
손측정변수들 간의 연관성 분석을 통한 장갑설계의 중요변수 결정 및 치수체계 적용
권오채,정기효,선미선,유희천,김희은,Gwon, O-Chae,Jeong, Gi-Hyo,Seon, Mi-Seon,Yu, Hui-Cheon,Kim, Hui-Eun 대한인간공학회 2004 大韓人間工學會誌 Vol.23 No.3
Selection of a key dimension (s) by considering the characteristics of hand dimensions is needed to design gloves and construct a sound sizing system for gloves The present study identified key dimensions of glove design by analyzing the relationships between hand dimensions and demonstrated the construction process of a glove sizing system. By conducting correlation and regression analyses on 70 hand dimensions including 3 key dimension candidates (hand length; hand circumference; hand breadth) with the 1988 US Army data, hand length and hand circumference were selected as key dimensions for glove design. Glove sizing systems were constructed for males and females by applying the selected key dimensions, 0.5 inch of sizing intervals, and 2% of presence rate criterion to the US Army data. This study suggests that glove sizing systems for males and females be very different from each other and a glove sizing system for males include more sizes than that for females.
표면 벡터를 이용한 스테레오 비전에서의 물체 검출 검증
우태강(Tae-Kang Woo),김희은(Hui-eun Kim),이영완(Young-Wan Lee),김학일(Hakil Kim) 제어로봇시스템학회 2018 제어·로봇·시스템학회 논문지 Vol.24 No.10
The purpose of this paper is to improve the accuracy of object detection by validating the objects detected using surface vectors in stereo vision for object detection in autonomous vehicles or robots. Conventional stereo vision algorithms have a problem of increasing disparity errors between two images by simplifying correspondence matching processes for the purpose of real-time processing. This paper proposes a method to correct the detection result using the surface vector to reduce the false positives due to erroneous disparity images. The proposed method uses Stixel to reduce computation cost when searching for objects in the disparity image, calculates the surface vectors to minimize the false positives of objects due to degradation in disparity image, evaluates the disparity confidence, and then verifies the object. The surface vector is locally computed from the stixel-based ROI to maintain real-time processing. Experiments were carried out using real environment images to verify the performance of the proposed method. Its accuracy was improved by more than 7% compared to the existing methods and the processing time of the surface vector module was less than 6 ms in a PC platform.