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http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/42319
標題: | 基於不均勻變形之影像拼接 Image Stitching by Non-homogeneous warping |
作者: | Chiu-Ju Chen 陳九如 |
指導教授: | 莊永裕(Yung-Yu Chuang) |
關鍵字: | 基於不均勻變形,多透視角影像拼接, Non-homogeneous warping,non-rigid alignment,multi-perspective image stitching, |
出版年 : | 2011 |
學位: | 碩士 |
摘要: | 本論文提出了一基於不均勻變形(non-homogeneous warping)之影像拼接(image stitching)演算法。本方法自動拼接多張取自不同視角之照片,且不需利用影像分層或混合技術即可合成一張具多透視點之全景圖。我們基於一以形變為基礎之影像比對演算法,藉由限制相對應之特徵點於同一位置求得初始形變,接著進行粗略至精細(coarse-to-fine)比對策略以改進拼接結果,最後反覆優化求得多透視點全景圖。 This thesis proposes an automatic approach to multi-perspective image stitching. Differently from previous stitching methods using global transformation such as homography, we frame non-homogeneous warping into Lucas-Kanade approach and optimize for multi-perspective images. Our algorithm consists of two stages: alignment stage and aggregation stage. The former uses non-rigid alignment after applying feature-based registration, the latter iteratively solves for multi-perspective results. Experiments on the numbers of images taken from different view-points showed that our algorithm improves the image stitching without using layering or blending techniques. |
URI: | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/42319 |
全文授權: | 有償授權 |
顯示於系所單位: | 資訊網路與多媒體研究所 |
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