Model-based GA Evolutionary 3-D Position Measurement Method

摘要：

　　This paper presents a vision-related technique for 3-D position measurement.The proposed method utilizes the genetic algorithm (GA) and unprocessed grayscale image input from vision, in order to perform recognition of a target being imaged with known target object shape.The problem to recognize the target shape and simultaneous detection of the position, is converted to an optimistic problem of a model-based evaluation function, named as surface-strips model-based fitness function that consists in the computation of the brightness difference between an internal surface and a contour-strips.In order to evaluate the proposed 3-D recognition method, experiments by an unprocessed grayscale image have been input to recognize a ball in the image.The results show the effectiveness of this method for 3-D position detection.

关键词： 3D position measurement GA Model-based

作者: Xu Liu Wei Song Yanan Zhang Xiaolei Li

作者单位: School of Mechatronics Engineering and Automation,Shanghai University,Shanghai,China

会议类型: 国际会议

会议名称: the 2012 International Conference on Vibration, Structural Engineering and Measurement (2012年振动、结构工程与测量国际会议(ICVSEM2012))

会议地点: 上海

会议语种:英文

页码: 1866-1871

在线出版日期: 2012-10-19（万方平台首次上网日期，不代表论文的发表时间）