A Depth-dependent Fusion Algorithm for Enhanced Reality based on Binocular Vision
As one of the pivot techniques in enhanced reality the fusion of virtual and real scene image often happens in two ways, either to incorporate a real object into a virtual environment, or to incorporate a virtual object into a real scene. Most of the conventional methods for the fusion are conducted at the image level, which fails to handle three-dimensional objects. In this paper, a novel depth-dependent algorithm for the fusion of virtual and real scene image in enhanced reality based on binocular vision will be proposed. The algorithm simulates the human observation process, and computes the spatial position of an image pixel by means of binocular parallax. With the assistance of object recognition techniques, the depth computation results will then be utilized to determine the spatial position of the object in the observation coordinate frame. The fusion is consequently implemented by positioning the object of interest at the right position and establishing the depth relationship with other objects in the scene. Experiment results demonstrate that the proposed algorithm is both valid and effective to achieve a high quality fusion for an enhanced reality application.
Chensheng Wang Xiaoping Liu Fei Wang Liang Chen
School of Automation Beijing University of Posts and Telecommunications No.10 Xi Tu Cheng Lu, Haidian District, Beijing 100876, China
国际会议
2009 WASE International Conference on Information Engineering(2009年国际信息工程会议)(ICIE 2009)
太原
英文
704-708
2009-07-10（万方平台首次上网日期，不代表论文的发表时间）