A Study For The Three Dimension Reconstruction Based On B-Dual-Space

Most animals use vision as a primary sensor to interact with their environment. Navigation or manipulation of objects are among the tasks that can be better achieved while understanding the three-dimensional structure of the scene.In this thesis, we present computational techniques for estimating 3D shape from 2D images, based on two-eye vision technology. First. The tendency of development, and application in the current in the computer vision field is introduced, the technologies and the research orientation in three-dimension reconstruction are analyzed. Next, the theories and the methods of two-vision reconstruction based on the B-Dual-space mathematical formalism are analyzed in detailed. The main novelty of our scheme is that the technologies used are based on the dual-space algorithm. Last a certain results are obtained .the possibility of the theories is testified.Finally, the combination of Computer Vision and Computer Graphics is proposed to realize the visualization of three-dimension object. The procedure is accomplished by VC-r+6.0.