Research Of Three-Dimensional Reconstruction Based On Binocular Stereo Vision

As a new field based on various interdisciplinary, the theory research and practical application of the Computer Vision make great progress. Especially in recent years, the development of image processing technology and high performance computer coming into being provide favorable conditions for computer vision research and application. So. the further research to computer vision have much theory meaning and practicality value.Stereo vision is to reconstruct the three-dimensional coordinate of an object from some of its two-dimensional images. Generally, one would like to reconstruct the object in three-dimensional space with only two different view points. The fundamental principle of computer vision with dual-cameras have a strong resemblance to the visual perception procedure of mankind. We can get different images with two different view points and then calculate the position deviation of images pixels based on triangular measure. Finally we can reconstruct the three-dimensional coordinate of the object.The integrated binocular stereo vision system generally includes image acquisition, camera calibration, features extraction stereo matching, depth recovery and depth interpolation, etc. The features extraction and the stereo matching is mainly discussed in this paper. First, we elaborate the fundamental principle of measure distance in stereo vision based on camera modeling. Second, the paper gives the elaborate analysis on preprocessing methods such as features extraction, and vrifies the algorithms by example. Furthermore, it summarizes the content of stereo matching such as match method, the strategy of match quality control. Finally, we submit the match algorithm based on image edge features and match algorithm based on the image interesting dot by features extraction and image matching. Two kinds of algorithm is in accordance with each images, but we get better match results by experiments.