An Automatic Image Based 3D Reconstruction System of Handheld Objects

• Main Authors: Kuan-HsienLiu, 劉冠賢
• Other Authors: Jar-Ferr Yang
• Format: Others
• Language: en_US
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/71378803121846568281

碩士 === 國立成功大學 === 電腦與通信工程研究所 === 100 === To estimate the precise intrinsic and extrinsic parameter of the camera is the key point for the design of 3D reconstruction systems. Traditionally, we should calibrate the camera parameters with a chessboard, followed by visual hull to generate a closed 3D model. Nevertheless, there are some limitations, which need to prepare a chessboard, and take much energy to construct the device. In the proposed method, a feature point based system is used to find the camera matrix. Then, the sparse point cloud is reconstructed while estimating the camera matrix. Finally, Poisson surface reconstruction is applied to create the surface. In required images, we allow the user to hold the object in front of a fixed camera. This method is not only more convenient but can record more information in hidden area. But, the reconstructed point cloud is noisy because of the inference of user’s hands, so a noise removal step is designed in our system to solve this problem.