Sojka Corner Detection Algorithm

TUDelft
RVM Corner Classification Model
Support Vector Machine
• Finds the hyperplane leaving the
largest possible fraction of points
of the same class on the same side,
while maximizing the distance of
either class from the hyperplane.
H1
H
H2
• Disadvantages: No probability
output; Support vectors grows with
training set; Mercer’s condition;
Distance=1/|w|
Screen Estimation for A Novel Pointing Device Based on Corner Detection and Classification. Qing Xia, Wei Huang 50