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Proceedings Paper

Object recognition via MINACE filter trained on synthetic 3D model
Author(s): Dmitry V. Shaulskiy; Maxim V. Konstantinov; Rostislav S. Starikov
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Paper Abstract

Paper presents study results of MINACE filter implementation to recognition problem of object subjected to out-of-plane rotation distortion and captured as raster image. Filter training conducted by images acquired from synthetic 3D object model. Dependence of recognition results from 3D model illumination type is shown.

Paper Details

Date Published: 9 September 2015
PDF: 4 pages
Proc. SPIE 9598, Optics and Photonics for Information Processing IX, 959810 (9 September 2015); doi: 10.1117/12.2190826
Show Author Affiliations
Dmitry V. Shaulskiy, National Research Nuclear Univ. MEPhI (Russian Federation)
Maxim V. Konstantinov, National Research Nuclear Univ. MEPhI (Russian Federation)
Rostislav S. Starikov, National Research Nuclear Univ. MEPhI (Russian Federation)


Published in SPIE Proceedings Vol. 9598:
Optics and Photonics for Information Processing IX
Abdul A. S. Awwal; Khan M. Iftekharuddin; Mohammad A. Matin; Mireya García Vázquez; Andrés Márquez, Editor(s)

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