Paper
9 September 2015 Object recognition via MINACE filter trained on synthetic 3D model
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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.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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KEYWORDS
3D modeling

3D image processing

Object recognition

3D acquisition

Image filtering

Databases

Distortion

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