End-Stop Exemplar Based Recognition
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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End-Stop Exemplar Based Recognition. / Olsen, Søren I.
Image Analysis: 13th Scandinavian Conference, SCIA 2003 Halmstad, Sweden, June 29 – July 2, 2003 Proceedings. 2003. p. 257-266 (Lecture notes in computer science, Vol. 2749/2003).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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TY - GEN
T1 - End-Stop Exemplar Based Recognition
AU - Olsen, Søren I.
N1 - Conference code: 13
PY - 2003
Y1 - 2003
N2 - An approach to exemplar based recognition of visual shapes is presented. The shape information is described by attributed interest points (keys) detected by an end-stop operator. The attributes describe the statistics of lines and edges local to the interest point, the position of neighboring interest points, and (in the training phase) a list of recognition names. Recognition is made by a simple voting procedure. Preliminary experiments indicate that the recognition is robust to noise, small deformations, background clutter and partial occlusion.
AB - An approach to exemplar based recognition of visual shapes is presented. The shape information is described by attributed interest points (keys) detected by an end-stop operator. The attributes describe the statistics of lines and edges local to the interest point, the position of neighboring interest points, and (in the training phase) a list of recognition names. Recognition is made by a simple voting procedure. Preliminary experiments indicate that the recognition is robust to noise, small deformations, background clutter and partial occlusion.
U2 - 10.1007/3-540-45103-X_7
DO - 10.1007/3-540-45103-X_7
M3 - Article in proceedings
T3 - Lecture notes in computer science
SP - 257
EP - 266
BT - Image Analysis
Y2 - 29 November 2010
ER -
ID: 5581343