Camera Parameter Estimation Based on Two Given Images

碩士 === 國立交通大學 === 電子工程學系 電子研究所 === 103 === 3D video becomes a popular topic recently; video composition is one of the challenge applications. Given two separate videos captured by two sets of multiple cameras, we combine them to form a new virtual video, which contains the foreground objects from on...

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Bibliographic Details
Main Author: 周靖倫
Other Authors: 杭學鳴
Format: Others
Language:zh-TW
Published: 2014
Online Access:http://ndltd.ncl.edu.tw/handle/32715565057324554232
Description
Summary:碩士 === 國立交通大學 === 電子工程學系 電子研究所 === 103 === 3D video becomes a popular topic recently; video composition is one of the challenge applications. Given two separate videos captured by two sets of multiple cameras, we combine them to form a new virtual video, which contains the foreground objects from one video and the background objects from the other. However, there are often some mismatches need to adjust due to the different capturing devices and their relative poses and movement. In this thesis, we focus on the camera movement mismatch of foreground and background videos. If the camera motions of these two sequences differ from each other, the virtual composite may look unnatural. We propose two algorithms to estimate the camera (relative) extrinsic parameters. Then, based the obtained parameters, we create a virtual background video to match the camera movement of the foreground video (objects). After the adjustment, the view synthesis software VSRS is used for image composition frame by frame, and the virtual stereo video can thus be generated.