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Image-based Modeling and Rendering Method Based on Camera Self-calibration

Author: ZhangHuaiSheng
Tutor: ZhangYouSheng
School: Hefei University of Technology
Course: Computer Software and Theory
Keywords: Image-based rendering Self-Calibration Parallax Warping
CLC: TP391.4
Type: Master's thesis
Year: 2002
Downloads: 213
Quote: 7
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Abstract


With the development of virtual reality technology , three-dimensional graphics realism increasingly high demand , so that image-based rendering techniques , IBR emerged. IBR approach has become a research hotspot in recent years, computer graphics , widely used in computer visualization , computer vision, multimedia, and other fields. Contents of this paper are IBR areas , mainly discuss the camera self- calibration techniques applied to the IBR . Use a small amount of images and some artificial , get the camera and external parameters , and then the scene reconstruction , the final completion of the new method using Warping viewpoint image rendering. The whole process can be divided into three parts : the use of self- calibration and external camera parameters calculated by matching the image corresponding point extraction depth information using Warping for image rendering . In the self- calibration , the main research and external camera parameters refinement . Proposed based on the F match point adjustment refinement method, first seen under the cross-ratio of photographic options for manually adjusting the matching point , and then a linear , non-linear method of combining refinement F matrix ; in the calculation of internal parameters A, and a certain amount of simplification, to focus on two important parameters in a , and with the SVD decomposition method Kruppa equations ; in the calculation of the external parameters, the first with a linear method for solving R, t, and then use non-linear iterative refinement method . Reconstruction of the scene in the extraction depth , the proposed two different reconstruction methods : the use of geometric models and scene information directly to obtain the corresponding points obtained by matching the depth information . Because the previous method does not have the versatility , so the main method of in-depth study on the latter . Based on the analysis on the basis of previous work , we propose a matching image depth information corresponding point extraction algorithm , achieve better results. Image Warping in rendering the voids filled with self calibration parameters Warping, reverse Warping, multiple images to fill voids and other aspects of the study . Finally, several groups with real images Warping results.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices
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