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Optics Letters

Optics Letters


  • Editor: Alan E. Willner
  • Vol. 37, Iss. 1 — Jan. 1, 2012
  • pp: 76–78

Instance-based attention: where could humans look first when searching for an object instance

Changxin Gao, Nong Sang, and Rui Huang  »View Author Affiliations

Optics Letters, Vol. 37, Issue 1, pp. 76-78 (2012)

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We present an instance-based attention model to predict where humans could look first when searching for an object instance, and we show its application in image synthesis. The proposed model learns configurational rules from vast scene images described by global scene representations. The rules are then used to predict the focus of attention for the purpose of searching for a given object instance with special scale and pose. Finally, the image synthesis results are obtained by putting the object instance into the scene at the position that attracts most attention. Promising experimental results demonstrate the effectiveness of the proposed model.

© 2012 Optical Society of America

OCIS Codes
(100.2960) Image processing : Image analysis
(100.5010) Image processing : Pattern recognition
(330.4060) Vision, color, and visual optics : Vision modeling
(330.6100) Vision, color, and visual optics : Spatial discrimination

ToC Category:
Vision, Color, and Visual Optics

Original Manuscript: August 5, 2011
Revised Manuscript: November 11, 2011
Manuscript Accepted: November 12, 2011
Published: December 26, 2011

Virtual Issues
Vol. 7, Iss. 3 Virtual Journal for Biomedical Optics

Changxin Gao, Nong Sang, and Rui Huang, "Instance-based attention: where could humans look first when searching for an object instance," Opt. Lett. 37, 76-78 (2012)

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