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Optics Express

Optics Express

  • Editor: Michael Duncan
  • Vol. 12, Iss. 23 — Nov. 15, 2004
  • pp: 5795–5809

Three-dimensional distortion-tolerant object recognition using integral imaging

Sekwon Yeom and Bahram Javidi  »View Author Affiliations

Optics Express, Vol. 12, Issue 23, pp. 5795-5809 (2004)

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This paper addresses 3D distortion-tolerant object recognition using Integral Imaging (II). II is one of the techniques considered for 3D image recording and display. Multiple elemental images are captured to record different but continuous viewing zones of 3D scenes. We develop a distortion-tolerant 3D object recognition by using the II capture system. We adopt Principal Component Analysis (PCA) and Fisher Linear Discriminant (FLD) classifier followed by the nearest neighbor decision rule and the statistical distance metric. Performance is analyzed in terms of probability of correct decision, Root Mean Square Error (RMSE) between raw input vectors and reconstructed vectors from the PCA subspace and the PCA-FLD cost function. Decision strategies are compared by the varying number of training data.

© 2004 Optical Society of America

OCIS Codes
(100.5010) Image processing : Pattern recognition
(100.5760) Image processing : Rotation-invariant pattern recognition
(100.6890) Image processing : Three-dimensional image processing
(110.6880) Imaging systems : Three-dimensional image acquisition

ToC Category:
Research Papers

Original Manuscript: September 24, 2004
Revised Manuscript: November 7, 2004
Published: November 15, 2004

Sekwon Yeom and Bahram Javidi, "Three-dimensional distortion-tolerant object recognition using integral imaging," Opt. Express 12, 5795-5809 (2004)

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