Lima13a
J.P. Lima, F. Simoes, H. Uchiyama, V. Teichrieb, E. Marchand. Depth-Assisted Rectification of Patches: Using RGB-D Consumer Devices to Improve Real-Time Keypoint Matching. In Int. Conf. on Computer Vision Theory and Applications, Visapp 2013, Pages 651-656, Barcelona, Spain, February 2013.
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Abstract
This paper presents a method named Depth-Assisted Rectification of Patches (DARP), which exploits depth information available in RGB-D consumer devices to improve keypoint matching of perspectively distorted images. This is achieved by generating a projective rectification of a patch around the keypoint, which is normalized with respect to perspective distortions and scale. The DARP method runs in real-time and can be used with any local feature detector and descriptor. Evaluations with planar and non-planar scenes show that DARP can obtain better results than existing keypoint matching approaches in oblique poses
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BibTex Reference
@InProceedings{Lima13a,
Author = {Lima, J.P. and Simoes, F. and Uchiyama, H. and Teichrieb, V. and Marchand, E.},
Title = {Depth-Assisted Rectification of Patches: Using RGB-D Consumer Devices to Improve Real-Time Keypoint Matching},
BookTitle = {Int. Conf. on Computer Vision Theory and Applications, Visapp 2013},
Pages = {651--656},
Address = {Barcelona, Spain},
Month = {February},
Year = {2013}
}
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