Design of Binocular Vision System Combining Wide-View Stitching and Depth Imaging

• Main Authors: Chi-Chiang Ko, 柯啓強
• Other Authors: 陳慶瀚
• Format: Others
• Language: zh-TW
• Published: 2014
• Online Access: http://ndltd.ncl.edu.tw/handle/jgxcu3

碩士 === 國立中央大學 === 資訊工程學系 === 103 === In this paper, we expect to design a smart binocular vision system platform combined ultra-wide-angle image stitching and stereo vision technology after learning binocular visual pattern from different creatures. It can simultaneously implement monitoring in wide field of view and depth sensing and improve the lack of flexibility and adaptability in binocular machine vision nowadays. We propose a method based on K-means algorithm to strengthen object depth information on characteristics of different image planes of depth of field, and achieving full image stitching in any interested depth plane. After a series of experiments and SIFT verification, the system is proved that can successfully implement adaptive focus on the object in the foreground of the image. Meanwhile, the object will not bifurcate or having dislocation in image stitching overlap region. Methods in this research are able to successfully combine the features and advantages of stereo vision blending and image stitching system information, and allow the system to enhance image stitching from the traditional two-dimensional spaces to three-dimensional space for research and discussion. Therefore, we can view the potential development and plasticity of binocular vision platform in a different way from the past.