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

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2 Author(s)
Langer, M. ; Inst. of Real-Time Learning Syst., Univ. Siegen, Siegen, Germany ; Kuhnert, K.-D.

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.

Published in:

Pattern Recognition, 2008. ICPR 2008. 19th International Conference on

Date of Conference:

8-11 Dec. 2008