Depth Image-based Modeling Rendering Technology

Image-based rendering techniques have gained considerable attention in the graphics community because of their potential advantage in image synthesizing which can bring another alternative for traditional geometry-based rendering techniques. Depth image-based rendering for geometry models gives another compensation for traditional geometry-based rendering techniques with its faster rendering,independent of geometry complexity and needing less computing resource,So it is very valuable for simplifying very large data geometry models and displaying them in real time.This dissertation deeply investigates depth image-based modeling and rendering techniques,further on 3D image-warping,presents a division of 3D image-warping in mathematics with fully understanding it,Then 3D image-warping can he implemented by pre-warp and texture mapping. This can efficiently take advantage of the texture mapping hardware. So the warping operation is much faster. After factoring the 3D image-warping equation,the pre-warping equation has a very simple structure. It can be divided into two-pass process using 1-D operations along rows and columns and only interpolating between two adjacent pixels each time. At last,an image-based modeling and rendering system is cast,which can display a geometry model with images after sampling six depth images around a model's bounding box,displaying geometry models in real-time is realized under ordinary computer.This dissertation presents a concrete deduce for factoring the 3d image-warping equation;confirmed the correctness and robustness of ID warp and reconstruction;realizes the whole modeling procedure after sampling six depth images around the model's bounding box.