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A new hierarchical approach in robust real-time image feature detection and matching

9 years 19 days ago
A new hierarchical approach in robust real-time image feature detection and matching
Object recognition forms a ubiquitous problem in digital image processing. The detection of robust image features of high distinctiveness is one important key in this regard. We present a new hierarchical approach in object recognition targeting at high robustness, yet trying to fulfill hard real–time constraints. The former will be achieved using SIFT and SURF operators, while the latter is done by employing a fast pre–processing step exploiting decision–trees.
Matthias Langer, Klaus-Dieter Kuhnert
Added 30 May 2010
Updated 30 May 2010
Type Conference
Year 2008
Where ICPR
Authors Matthias Langer, Klaus-Dieter Kuhnert
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