Paper
21 September 2015 Feature extraction for 3D object detection from integral imaging
Author Affiliations +
Abstract
Objects in a 3D space can be located and segmented using information obtained by computational integral imaging. This paper implements an approach for objects isolation based on detecting the sharp edges of the focused regions in the reconstructed confocal images. Several edge feature detection methods are employed and examined. Results show that while the ability to detect the correct object depth locations does not depend on the edge detection method, the resulting quality of the detected object features may be significantly affected by the method used.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Doron Aloni and Yitzhak Yitzhaky "Feature extraction for 3D object detection from integral imaging", Proc. SPIE 9600, Image Reconstruction from Incomplete Data VIII, 96000E (21 September 2015); https://doi.org/10.1117/12.2187035
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KEYWORDS
Edge detection

Integral imaging

3D image processing

Cameras

Image processing

Feature extraction

Wavelets

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