Object recognition via MINACE filter trained on synthetic 3D model

Dmitry V. Shaulskiy; Maxim V. Konstantinov; Rostislav S. Starikov

doi:10.1117/12.2190826

9 September 2015 Object recognition via MINACE filter trained on synthetic 3D model

Dmitry V. Shaulskiy, Maxim V. Konstantinov, Rostislav S. Starikov

Proceedings Volume 9598, Optics and Photonics for Information Processing IX; 959810 (2015) https://doi.org/10.1117/12.2190826
Event: SPIE Optical Engineering + Applications, 2015, San Diego, California, United States

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.

Citation Download Citation

Dmitry V. Shaulskiy, Maxim V. Konstantinov, and Rostislav S. Starikov "Object recognition via MINACE filter trained on synthetic 3D model", Proc. SPIE 9598, Optics and Photonics for Information Processing IX, 959810 (9 September 2015); https://doi.org/10.1117/12.2190826

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