Ultra-wide baseline aerial imagery matching in urban environments
Publikation: Konferencebidrag › Paper › Forskning › fagfællebedømt
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.
Originalsprog | Engelsk |
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Publikationsdato | 2013 |
DOI | |
Status | Udgivet - 2013 |
Eksternt udgivet | Ja |
Begivenhed | 2013 24th British Machine Vision Conference, BMVC 2013 - Bristol, Storbritannien Varighed: 9 sep. 2013 → 13 sep. 2013 |
Konference
Konference | 2013 24th British Machine Vision Conference, BMVC 2013 |
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Land | Storbritannien |
By | Bristol |
Periode | 09/09/2013 → 13/09/2013 |
Sponsor | Dyson, HP, IET Journals - The Institution of Engineering and Technology, Microsoft Research, Qualcomm |
ID: 302164635