Plane-Based Multi-View 3D Dense Reconstruction

• Main Author: 張嘉峻
• Other Authors: 陳稔
• Format: Others
• Language: zh-TW
• Published: 2011
• Online Access: http://ndltd.ncl.edu.tw/handle/70774976171125022226

碩士 === 國立交通大學 === 多媒體工程研究所 === 99 === This paper addresses 3D dense reconstruction of a scene/object from multiple photos taken by a calibrated camera. Unlike most of the existing methods which use a fixed-sized window to do two-view correlation matching for verifying the photo consistency across the multiple views, our method applies a multi-image matching without requiring a fixed-sized window. The reconstruction begins with extracting image features such as local min/max intensity or the like from the input images, and then applies the epipolar constraints to derive the matched feature pairs. The whole object surface is approximated by a set of planar surface patches in 3D space; that is, the object model consists of a set of oriented points or a point cloud in short. Each planar patch is initially represented by a plane equation derived from the associated line/point feature pairs. Next, an iterative optimization process is called for to refine the plane parameter to attain higher accuracy. Finally, a dense model for 3D model is accomplished. We apply our reconstruction method to synthetic images in order to check the geometry correctness and real images for robustness testing. The experimental results show that our reconstructed models generally look smoother and more accurate than the ones reconstructed by a top existing multi-view stereo method.