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CORR
2008
Springer
193views Education» more  CORR 2008»
13 years 7 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»
14 years 1 months 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 ...
IPAS
2007
13 years 9 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
USENIX
2008
13 years 9 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
14 years 9 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