Title :
Local Optical Operators for Subpixel Scene Analysis
Author_Institution :
City Univ. of New York, New York, NY, USA
Abstract :
In this paper we present a scene analysis technique with subpixel filtering based on dense coded light fields. Our technique computes alignment and optically projects analysis filters to local surfaces within the extent of a camera pixel. The resolution gain depends on the local light field density not on the point spread function of the camera optics. An initial structured light sequence is used in establishing each camera pixel´s footprint in the projector generated light field. Then a sequence of basis functions embedded in the light field, with camera pixel support, combine with the local surface texture and are integrated by a camera sensor to produce a localized response at the subpixel scale. We address optical modeling and aliasing issues since the dense light field is under sampled by the camera pixels. Results are provided with objects of planar and non-planar topology.
Keywords :
filtering theory; image processing; topology; dense coded light fields; local optical operators; optical modeling; subpixel filtering; subpixel scene analysis; topology; Adaptive optics; Cameras; Optical imaging; Optical sensors; Optical signal processing; Pixel; Reflective binary codes; Multiple-view geometry; Object detection and recognition; Vision sensors;
Conference_Titel :
Pattern Recognition (ICPR), 2010 20th International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-1-4244-7542-1
DOI :
10.1109/ICPR.2010.842