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41

ICPR
2008
IEEE

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

14 years 5 months ago

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

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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

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Computer Vision | Digital Image Processing | ICPR 2008 | Object Recognition | Robust Image Features |

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Added	30 May 2010
Updated	30 May 2010
Type	Conference
Year	2008
Where	ICPR
Authors	Matthias Langer, Klaus-Dieter Kuhnert

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