NDLI: An efficient two steps algorithm for wide baseline image matching

Content Provider	Springer Nature Link
Author	Ancuti, Cosmin Ancuti, Codruta Orniana Bekaert, Philippe
Copyright Year	2009
Abstract	A recent study (Int. J. Comput. Vis. 73(3), 263–284, 2007) has shown that none of the detector/descriptor combinations perform well when the camera viewpoint is changed with more than 25–30°. In this paper we introduce an efficient two-step method that increases significantly the number of correct matches of wide separated views of a given 3D scenes. First, a few kernel correspondences are identified in the images and then, based on their neighbor information, the geometric distortion that relates the surrounding regions of these seed keypoints is estimated iteratively. Next, based on these estimated parameters combined with a rough segmentation that reduces the searching space of the keypoint descriptors, the neighbor regions around every keypoint are warped accordingly. In our experiments the method has been tested extensively, yielding promising results over a wide range of viewpoints of known 3D models images.
Starting Page	677
Ending Page	686
Page Count	10
File Format	PDF
ISSN	01782789
Journal	The Visual Computer
Volume Number	25
Issue Number	5-7
e-ISSN	14322315
Language	English
Publisher	Springer-Verlag
Publisher Date	2009-04-15
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Widebaseline Matching Local future points Descriptor Image Processing and Computer Vision Artificial Intelligence (incl. Robotics) Computer Graphics
Content Type	Text
Resource Type	Article
Subject	Computer Graphics and Computer-Aided Design Computer Vision and Pattern Recognition Software

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