Paper
23 September 2011 3D object recognition with integral imaging using neural networks
Author Affiliations +
Abstract
An overview of three-dimensional (3D) object recognition using neural networks is presented. Three dimensional sensing and imaging of 3D objects is performed using an integral imaging optical set up. Neural network technique is applied to recognize 3D objects. Experimental results are presented together with computational results for performance assessment.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Cuong Manh Do "3D object recognition with integral imaging using neural networks", Proc. SPIE 8135, Applications of Digital Image Processing XXXIV, 81350D (23 September 2011); https://doi.org/10.1117/12.893046
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KEYWORDS
Neural networks

3D image processing

Principal component analysis

Integral imaging

Cameras

Object recognition

3D image reconstruction

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