Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Paul W. Ma"'
Publikováno v:
SPIE Proceedings.
NASA-Ames Research Center, in collaboration with Sandia National Laboratories, is developing a Scannerless Terrain Mapper (STM) for autonomous vehicle guidance through the use of virtual reality. The STM sensor is based on an innovative imaging optic
Publikováno v:
SPIE Proceedings.
With the growing interest in using binary phase only filters (BPOF) in optical correlators that are implemented on magnetooptic spatial light modulators, an understanding of the effect of errors in system alignment and optical components is critical
Autor:
John D. Downie, David C. Galant, Max B. Reid, Maria Bualat, Butler Hine, Lilly Spirkovska, Paul W. Ma, Anna Pryor, Charles K. Gary
Publikováno v:
8th Computing in Aerospace Conference.
Optical computing research at NASA Ames Research Center seeks to utilize the capability of analog optical processing, involving free-space propagation between components, to produce natural implementations of algorithms requiring large degrees of par
Publikováno v:
SPIE Proceedings.
Pattern recognition invariant to image rotations of up to 75 deg, using a single filter, has been demonstrated for binary synthetic discriminant function (BSDF) optical filters, suggesting their use in directed graph-arranged data bases which can be
Publikováno v:
Optical Society of America Annual Meeting.
Given the interest in optical binary phase-only correlation implemented with magnetooptic spatial light modulators, an understanding of the effect of errors in system alignment and optical components is critical in obtaining optimum system performanc
Publikováno v:
Japanese Journal of Applied Physics. 29:L1284
An optical correlation-based system is demonstrated which recognizes an object and determines its angular orientation by traversing a hierarchical database of binary filters. The database architecture is made possible by the development of binary syn
Publikováno v:
Applied Optics. 29:1209
A modified binary synthetic discriminant function filter designed to recognize objects over a range of rotated views has been verified on a laboratory optical correlator. A binary synthetic discriminant function filter has been previously described t
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