Intrinsic Features on Surfaces
In proceedings of The 10th Central European Seminar on Computer Graphics (CESCG 2006), pages 169-176, Apr. 2006
Presented at The 10th Central European Seminar on Computer Graphics (CESCG 2006)
Abstract
The detection of stable feature points is an important preprocessing step for many applications in computer graphics. Especially, registration and matching applications often require those points and depend heavily on their quality. In the 2D image case, scale space based feature detection is well established and shows unquestionably good results. For this reason, we generalize a scale space to 3D surfaces and use it for the detection of analog feature points in 3D. Our features are robust to noise and provide a good description of the model.
Keywords: feature detection, intrinsic, surface
This paper won the Best Paper Award at the CESCG 2006 conference.
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Bibtex
@INPROCEEDINGS{schlattmann-2006-intrinsic, author = {Schlattmann, Markus}, pages = {169--176}, title = {Intrinsic Features on Surfaces}, booktitle = {The 10th Central European Seminar on Computer Graphics (CESCG 2006)}, year = {2006}, month = apr, keywords = {feature detection, intrinsic, surface}, abstract = {The detection of stable feature points is an important preprocessing step for many applications in computer graphics. Especially, registration and matching applications often require those points and depend heavily on their quality. In the 2D image case, scale space based feature detection is well established and shows unquestionably good results. For this reason, we generalize a scale space to 3D surfaces and use it for the detection of analog feature points in 3D. Our features are robust to noise and provide a good description of the model.}, conference = {The 10th Central European Seminar on Computer Graphics (CESCG 2006)} }