Ultra-wide Baseline Aerial Imagery Matching in Urban Environments

被引：12

作者：

Altwaijry, Hani ^{[1
]}

Belongie, Serge ^{[1
]}

机构：

[1] Univ Calif San Diego, Dept Comp Sci & Engn, San Diego, CA 92103 USA

来源：

PROCEEDINGS OF THE BRITISH MACHINE VISION CONFERENCE 2013 | 2013年

关键词：

D O I：

10.5244/C.27.15

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Correspondence matching is a core problem in computer vision. Under narrow baseline viewing conditions, this problem has been successfully addressed using SIFT-like approaches. However, under wide baseline viewing conditions these methods often fail. In this paper we propose a method for correspondence estimation that addresses this challenge for aerial scenes in urban environments. Our method creates synthetic views and leverages self-similarity cues to recover correspondences using a RANSAC-based approach aided by self-similarity graph-based sampling. We evaluate our method on 30 challenging image pairs and demonstrate improved performance to alternative methods in the literature.

引用

页数：12