This conference proceedings contains 41 papers arranged in five sections. Section 1 reviews ongoing research in opticalprocessing including recent results in optical correlator, optical computer photorefractive, and ...
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ISBN:
(纸本)0819403474
This conference proceedings contains 41 papers arranged in five sections. Section 1 reviews ongoing research in opticalprocessing including recent results in optical correlator, optical computer photorefractive, and spatial light-modulating device research. Section 2 deals with new developments in filter design, particularly phase-only filters and experimental filter implementations. Section 3, covering opticalprocessing is devoted primarily to new developments in 2D-optical signal processingsystems for spectral analysis and range/doppler signal processing. Section 4 concerns acousto-optic spectrum analyzer systems and components. Section 5 deals with optical computing and presents various algorithms and architectures for computing.
The inherent ambiguities in recovering 3-D motion information from a single optical flow field are studied using a statistical model. These ambiguities are quantified using the Cramer-Rao lower bound, which is a lower...
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The inherent ambiguities in recovering 3-D motion information from a single optical flow field are studied using a statistical model. These ambiguities are quantified using the Cramer-Rao lower bound, which is a lower bound for the error variances of motion parameter estimates. This performance bound is independent of the motion estimation algorithms, and can always be computed for any arbitrary 3-D motion of a rigid surface by inverting a 5*5 matrix. For the general motion of an arbitrary surface, it turns out that not every pixel gives information regarding 3-D motion estimation. It is shown that the aperture problem in computing the optical flow restricts the nontrivial information about the 3-D motion to a sparse set of pixels at which both components of the flow velocity are observable. Computer simulations are used to study the dependence of the inherent ambiguities on the underlying motion, the field of view, and the number of feature points for the motion in front of a nonplanar environment. It is shown that introducing a smoothness constraint by fitting local patches gives even lower bounds and thus is a justified technique for stabilizing the ill-posed motion estimation problem.< >
A wide range of modern informationprocessing applications that are not easily amenable to solution by conventional sequential processingalgorithms and machines or even by parallel multiprocessor architectures with a...
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ISBN:
(纸本)1557520860
A wide range of modern informationprocessing applications that are not easily amenable to solution by conventional sequential processingalgorithms and machines or even by parallel multiprocessor architectures with a limited degree of interconnection capability are identified. The potential of opticalinformationprocessing and computing systems for these applications is discussed, focusing on the need to develop the necessary components. A number of recent advances in advanced integrated optical signal processors, photorefractive volume holographic optical elements, and optical disks used as reconfigurable spatial light modulators are examined.
The proceedings contains 196 papers. The following topics are dealt with: photovoltaic energy systems;static power converters;power electronics, monitoring;hydro-power systems;wind energy systems;materials;modeling;po...
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The proceedings contains 196 papers. The following topics are dealt with: photovoltaic energy systems;static power converters;power electronics, monitoring;hydro-power systems;wind energy systems;materials;modeling;power systems;kinetic-electronic systems;digital signal processing theory and algorithms;adaptive and array processing;speech analysis, synthesis, and coding;speech recognition;applications of digital signal processing;image analysis and coding;VLSI and its industrial applications;microwave solid-state circuits;image filtering, recognition, classification, and recovering;communication elements and control;frequency hopping and spread spectrum;developments in switching systems;transmission and reception theory and systems;industrial applications of computer-aided design;satellite communications and antennas;radiocommunications and spread spectrum;communication circuits;optical communications and devices;communication systems;computer networks;microwave and millimeter-wave circuits and systems;university-industry interactions;information technology education;and curriculum development.
It is argued that those areas of data engineering research which are based on the assumption that communication bandwidth is a constraint, should be investigated. Some additional distributed database issues that requi...
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It is argued that those areas of data engineering research which are based on the assumption that communication bandwidth is a constraint, should be investigated. Some additional distributed database issues that require reinvestigation include concurrency control, network partitioning, backup storage and recovery algorithms. With the availability of increased bandwidth, global flooding of information can result in lower processing times than conventional approaches. Hence, broadcast-based solutions which continuously inform the various sites of the system status and data modifications need to be reconsidered. Novel transmission rates also invalidate old assumptions.< >
In numerous computer vision applications, there is both the need and the ability to access multiple types of information about the three dimensional aspects of objects or surfaces. When this information comes from dif...
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This conference proceedings contains 35 papers. These paper address recent technical advances in optical and hybrid computing, including perspectives on where this important new technology is heading. The topics inclu...
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ISBN:
(纸本)0892526696
This conference proceedings contains 35 papers. These paper address recent technical advances in optical and hybrid computing, including perspectives on where this important new technology is heading. The topics include algorithms for linear and nonlinear systems, computing architectures based on bistable and molecular devices, neural networks and its computing applications, application-driven devices and system development, optics and symbolic computing, opticalinformationprocessingsystems, computed tomography for optical computing, concepts in distributed systems, optical signal processing, and white-light optical signal processing and its applications.
In a recent paper, Eichmann and Caulfield1 presented a preliminary exposition of optical learning machines suited for use in expert systems. In this paper, we extend the previous ideas by introducing learning as a mea...
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In a recent paper, Eichmann and Caulfield1 presented a preliminary exposition of optical learning machines suited for use in expert systems. In this paper, we extend the previous ideas by introducing learning as a means of reinforcement by information gathering and reasoning with uncertainty in a non-Bayesian framework2. More specifically, the non-Bayesian approach allows the representation of total ignorance (not knowing) as opposed to assuming equally likely prior distributions. The expert system framework decision aid learning scheme introduced in this paper consists of a perceptual reasoning machine. Current information derived from knowledge sources are collected and processed in a "gather/assess" module whose evidence functions and algorithms generate beliefs and hypothesis about the observations. The output of the gather/assess module is split between evidence interpretation and feedback to an "anticipate/plan" module which contains learning algorithms and knowledge bases in memory acquired from prior domain knowledge and learning updates from the gather/assess module. The output of the anticipate/plan module in turn drives the gather/assess module closing the feedback loop. The information derived from the anticipate/plan module consists of most likely associations among the anticipated and current functionals of the observations and the next best plans. The next best plans aid the selection of the knowledge sources while the most likely associations aid the selection of the support in evidential reasoning within the frame of discernment of the observations. This completes the "perceptual reasoning cycle" which is a form of learning by reinforcement. optical associative memory is utilized for the anticipation and planning knowledge bases and optical computing is used for evidential reasoning (part of the inference engine), based on Dempster/Shafer theory3, which handles the management of the uncertainty among the knowledge sources. optical computing architec
This paper describes an approach to collision avoidance for rotorcraft flying at low altitudes. The method is based on extracting information from passive image-based sensors. These methods can be used to alert a pilo...
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This paper describes an approach to collision avoidance for rotorcraft flying at low altitudes. The method is based on extracting information from passive image-based sensors. These methods can be used to alert a pilot about obstacles and provide inputs to navigation and guidance systems for further processing.
In the past decade, vision/sensing systems techniques have received significant attention for applications in robotics and automation. The thrust of automation and robotics for space applications has been proposed for...
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In the past decade, vision/sensing systems techniques have received significant attention for applications in robotics and automation. The thrust of automation and robotics for space applications has been proposed for increased productivity, improved reliability, increased flexibility, higher safety, and for the performance of tasks unsuited to humans. These benefits can be insured through automating time-consuming tasks, increasing productivity/performance of crew-accomplished tasks, and performing tasks beyond the capability of the crew. This paper provides a review of efforts currently in progress at the NASA/Johnson Space Center and at Rice University, the accomplishments to date, and some of the anticipated future developments. Both systems and algorithms are discussed. The evolution of future vision/sensing is projected to include the fusion of multisensors ranging from microwave to optical with multimode capability to include position, attitude, recognition, and motion parameters. The algorithms for information extraction would incorporate aspects of intelligence and knowledge for the interpolation and extrapolation of the needed data. The key features of the overall system design will be small size and weight, fast signal processing, robust algorithms, and accurate parameter determination. These aspects of vision sensing will also be discussed in this paper.
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