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CORR
2008
Springer
193views Education» more  CORR 2008»
15 years 6 months ago
Faster and better: a machine learning approach to corner detection
The repeatability and efficiency of a corner detector determines how likely it is to be useful in a real-world application. The repeatability is importand because the same scene vi...
Edward Rosten, Reid Porter, Tom Drummond
IROS
2007
IEEE
129views Robotics» more  IROS 2007»
16 years 13 days ago
Decomposition of line segments into corner and statistical grown line features in an EKF-SLAM framework
Abstract— Robots are emerging from industrial plants toward every people’s daily life. Thus, navigation in and understanding of human related environments becomes a prerequisit...
Christian Pascal Connette, Oliver Meister, Martin ...
146
Voted
IPAS
2007
15 years 8 months ago
Edge and corner preserving smoothing for artistic imaging
What visually distinguishes a painting from a photograph is often the absence of texture and the sharp edges: in many paintings, edges are sharper than in photographic images whil...
Giuseppe Papari, Nicolai Petkov, Patrizio Campisi
189
Voted
USENIX
2008
15 years 8 months ago
Cutting Corners: Workbench Automation for Server Benchmarking
A common approach to benchmarking a server is to measure its behavior under load from a workload generator. Often a set of such experiments is required-perhaps with different serv...
Piyush Shivam, Varun Marupadi, Jeffrey S. Chase, T...
ECCV
2006
Springer
16 years 8 months ago
Machine Learning for High-Speed Corner Detection
Abstract Where feature points are used in real-time frame-rate applications, a high-speed feature detector is necessary. Feature detectors such as SIFT (DoG), Harris and SUSAN are ...
Edward Rosten, Tom Drummond