Feature-based Object Recognition and Three-Dimensional Tracking in Microscopic Environment

• Main Authors: Yu-Hsiang Chung, 鍾育祥
• Other Authors: 陳傳生
• Format: Others
• Language: zh-TW
• Published: 2007
• Online Access: http://ndltd.ncl.edu.tw/handle/85680785783240626308

碩士 === 元智大學 === 機械工程學系 === 95 === This paper presents a method to calculate the motion of the object in six degrees of freedom with microscope in real time. This paper is based on “Scale Invariant Feature Transform”. It is called “affine transform” that can calculate the translation, rotation and scale of the target according to the change of the same features in continuous images. The innovation of this paper is that we can accurately calculate the depth of the target according to the change of scale even in the blurred image. Proved through the experiment, within the range of 20 times of depth of field, there is an excellent linear relation between depth and scale. It could let us calculate the depth of the target accurately by the variation of scale. With this achievement, the author develops a real time image tracking system. This system can calculate the motion of the micro-component with six degrees of freedom and keep the micro-component at the fixed image position and focus plane by piezo-driven positioner. The proposed method is successfully applied to track the six DOF motion of a miniature component using a 10X objective lens and 4.4 micrometer depth of field. The steady-state error is less than 0.5 micrometer.