Virtual Panoramic View Of Space And Three-dimensional Reconstruction Of The Binocular Vision Research And Implementation

Virtual environment building based on image rendering is the hot point of the research on virtual reality technology. In the IBR technology, a 3-D scene is set up by using image-composing instead of 3-D geometry modeling, so it can speed up scene rendering and is highly efficient in constructing a specific virtual scene. Panorama image mosaic technology has important applications in Virtual-Reality and Computer Vision and is the key of IBR.3-D scene reconstruction technology based on image from two eyes is the hot point of the research on computer vision. 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.Based on achieving images correspondence using SIFT method, this paper is focused deeply on the research on panorama image mosaic technology and 3-D scene reconstruction technology based on image from two eyes ,we have designed and finished a system for scene reconstruction. The main work in this thesis includes:Interest point detection and correspondence: SIFT is an similitude invariant, it do not change when the scale of image is changing and image is circumvolving.SIFT arithmetic has strong adaptability to the image distortion and light change, at the same time it's operation speed is very fast and orientation precision is very well. SIFT method is introduced particularly in the paper, and the interest point detection and correspondence of images is carried out using SIFT method in the course of panorama image mosaic and camera calibration.Camera calibration: The paper introduces some classes of camera calibration methods, then study Tsai camera calibration algorithm, and adopt the scheme about plane points calibration template, and approve on the algorithm. Last we have designed and finished the camera calibration.3D reconstraction: After finishing camera calibration and images correspondence, these interest points are reprojected to 3D space to realize the 3D reconstruction of the scene. But the 3D reconstruction is merely points projection, haven't implemented the gridding and model. This will be improved in future.System design and implement: The paper finished has designed these function modules: panorama image creating module, panorama space compliation module, panorama space scaning module, camera calibration module and 3D reconstruction module.After summing up the research work, this thesis points out some future research works.