Ultra-wide baseline aerial imagery matching in urban environments
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Ultra-wide baseline aerial imagery matching in urban environments. / Altwaijry, Hani; Belongie, Serge.
2013. Paper presented at 2013 24th British Machine Vision Conference, BMVC 2013, Bristol, United Kingdom.Research output: Contribution to conference › Paper › Research › peer-review
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TY - CONF
T1 - Ultra-wide baseline aerial imagery matching in urban environments
AU - Altwaijry, Hani
AU - Belongie, Serge
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84898463143&partnerID=8YFLogxK
U2 - 10.5244/C.27.15
DO - 10.5244/C.27.15
M3 - Paper
AN - SCOPUS:84898463143
T2 - 2013 24th British Machine Vision Conference, BMVC 2013
Y2 - 9 September 2013 through 13 September 2013
ER -
ID: 302164635