Aerial Image Mosaicing Approach Based on Feature Matching

被引：0

作者：

Hadrovic, Emina ^{[1
]}

Osmankovic, Dinko ^{[1
]}

Velagic, Jasmin ^{[1
]}

机构：

[1] Univ Sarajevo, Fac Elect Engn, Sarajevo 71000, Bosnia & Herceg

来源：

PROCEEDINGS OF 2017 INTERNATIONAL SYMPOSIUM ELMAR | 2017年

关键词：

Image mosaic; Unmanned aerial vehicle; FANN algorithm; RANSAC; SURF descriptor;

D O I：

暂无

中图分类号：

U6 [水路运输]; P75 [海洋工程];

学科分类号：

0814 ; 081505 ; 0824 ; 082401 ;

摘要：

The paper treats a problem of building an image mosaic or a 2D map from the sequence of images taken by an Unmanned Aerial Vehicle (UAV). The proposed algorithm is composed of the following parts: feature detection and extraction using Speeded Up Robust Features (SURF) descriptor, feature matching using Fast Approximate Nearest Neighbor Search (FANN) with automatic algorithm configuration, estimation of the optimal transform between images using RANdom SAmple Consensus (RANSAC) and finally creating a mosaic by stitching images together using the obtained transformations. Summarizing results obtained in two different scenarios, it can be concluded that the proposed algorithm exhibits near real time performance for automated UAV 2D aerial mapping.

引用

页码：177 / 180

页数：4

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