Exemplar Based Recognition of Visual Shapes

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

Standard

Exemplar Based Recognition of Visual Shapes. / Olsen, Søren I.

Image Analysis. <Forlag uden navn>, 2005. s. 852-861 (Lecture notes in computer science, Bind 3540/2005).

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

Harvard

Olsen, SI 2005, Exemplar Based Recognition of Visual Shapes. i Image Analysis. <Forlag uden navn>, Lecture notes in computer science, bind 3540/2005, s. 852-861, 14th Scandinavian Conference in Image Analysis (SCIA), Joensuu, Finland, 29/11/2010. https://doi.org/10.1007/11499145_86

APA

Olsen, S. I. (2005). Exemplar Based Recognition of Visual Shapes. I Image Analysis (s. 852-861). <Forlag uden navn>. Lecture notes in computer science Bind 3540/2005 https://doi.org/10.1007/11499145_86

Vancouver

Olsen SI. Exemplar Based Recognition of Visual Shapes. I Image Analysis. <Forlag uden navn>. 2005. s. 852-861. (Lecture notes in computer science, Bind 3540/2005). https://doi.org/10.1007/11499145_86

Author

Olsen, Søren I. / Exemplar Based Recognition of Visual Shapes. Image Analysis. <Forlag uden navn>, 2005. s. 852-861 (Lecture notes in computer science, Bind 3540/2005).

Bibtex

@inproceedings{01d784004f4211dd8d9f000ea68e967b,
title = "Exemplar Based Recognition of Visual Shapes",
abstract = "This paper presents an approach of visual shape recognition based on exemplars of attributed keypoints. Training is performed by storing exemplars of keypoints detected in labeled training images. Recognition is made by keypoint matching and voting according to the labels for the matched keypoints. The matching is insensitive to rotations, limited scalings and small deformations. The recognition is robust to noise, background clutter and partial occlusion. Recognition is possible from few training images and improve with the number of training images.",
author = "Olsen, {S{\o}ren I.}",
note = "Poster Presentations 2: Pattern Recognition, Image Processing, and Applications; null ; Conference date: 29-11-2010",
year = "2005",
doi = "10.1007/11499145_86",
language = "English",
isbn = "978-3-540-26320-3",
series = "Lecture notes in computer science",
publisher = "<Forlag uden navn>",
pages = "852--861",
booktitle = "Image Analysis",

}

RIS

TY - GEN

T1 - Exemplar Based Recognition of Visual Shapes

AU - Olsen, Søren I.

N1 - Conference code: 14

PY - 2005

Y1 - 2005

N2 - This paper presents an approach of visual shape recognition based on exemplars of attributed keypoints. Training is performed by storing exemplars of keypoints detected in labeled training images. Recognition is made by keypoint matching and voting according to the labels for the matched keypoints. The matching is insensitive to rotations, limited scalings and small deformations. The recognition is robust to noise, background clutter and partial occlusion. Recognition is possible from few training images and improve with the number of training images.

AB - This paper presents an approach of visual shape recognition based on exemplars of attributed keypoints. Training is performed by storing exemplars of keypoints detected in labeled training images. Recognition is made by keypoint matching and voting according to the labels for the matched keypoints. The matching is insensitive to rotations, limited scalings and small deformations. The recognition is robust to noise, background clutter and partial occlusion. Recognition is possible from few training images and improve with the number of training images.

U2 - 10.1007/11499145_86

DO - 10.1007/11499145_86

M3 - Article in proceedings

SN - 978-3-540-26320-3

T3 - Lecture notes in computer science

SP - 852

EP - 861

BT - Image Analysis

PB - <Forlag uden navn>

Y2 - 29 November 2010

ER -

ID: 4980005