TY - GEN
T1 - A non-parametric Scale-based Corner Detector
AU - Valenti, Cesare Fabio
AU - Tegolo, Domenico
AU - Bellavia, Fabio
PY - 2008
Y1 - 2008
N2 - This paper introduces a new Harris-affine corner detector algorithm, that does not need parameters to locate corners in images, given an observation scale. Standard detectors require to fine tune the values of parameters which strictly depend on the particular input image. A quantitative comparison between our implementation and a standard Harris-affine implementation provides good results, showing that the proposed methodology is robust and accurate. The benchmark consists of public images used in literature for feature detection
AB - This paper introduces a new Harris-affine corner detector algorithm, that does not need parameters to locate corners in images, given an observation scale. Standard detectors require to fine tune the values of parameters which strictly depend on the particular input image. A quantitative comparison between our implementation and a standard Harris-affine implementation provides good results, showing that the proposed methodology is robust and accurate. The benchmark consists of public images used in literature for feature detection
UR - http://hdl.handle.net/10447/40082
M3 - Conference contribution
SN - 978-1-4244-2175-6
T3 - INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION
SP - 116
EP - 119
BT - Proceedings - International Conference on Pattern Recognition
ER -