Paper
13 December 2001 Three-dimensional object recognition and visualization using integral imaging
Author Affiliations +
Abstract
A real-time recognition system of three-dimensional (3D) objects by use of microlens array is presented. The proposed system consists of two subsystems: one is a projection system of a 3D object into an array of two-dimensional (2D) images that have different perspectives of the 3D object and the second is an optical processor to perform the correlation. A 3D object is illuminated by incoherent light and then is projected into two-dimensional array of elemental images by use of microlens array. Use of microlens array allows us to make the system compact. Each elemental image corresponds to a different perspective of the 3D object. The set of elemental images contain information of the 3D object. After an optical incoherent-to-coherent conversion by an optically addressed spatial light modulator, an optical processor is used to perform the correlation between the input and the reference 3D objects. All the processes can be implemented optically for real-time recognition. Experimental and numerical results of the recognition of 3D objects are presented. These results show that the proposed system can recognize the 3D object even when an input object is very similar to the reference.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bahram Javidi, Osamu Matoba, and Enrique Tajahuerce "Three-dimensional object recognition and visualization using integral imaging", Proc. SPIE 4455, Micro- and Nano-optics for Optical Interconnection and Information Processing, (13 December 2001); https://doi.org/10.1117/12.450453
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
3D image processing

Microlens array

Image processing

Imaging arrays

Photography

Signal processing

Optical correlators

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