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.

• Type: Conference
• Year: 2008
• Where: ICPR
• Authors: Matthias Langer, Klaus-Dieter Kuhnert
• Keywords: Computer Vision, Digital Image Processing, ICPR 2008, Object Recognition, Robust Image Features