In this paper we present a comparison between four invariant face recognition techniques: synthetic discriminant function (SDF) based recognition, projection-slice SDF based recognition, optoelectronic correlator base...
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ISBN:
(纸本)0819445568
In this paper we present a comparison between four invariant face recognition techniques: synthetic discriminant function (SDF) based recognition, projection-slice SDF based recognition, optoelectronic correlator based neural network, and pose estimation based recognition. The pose estimation technique does not involve composite image generation and is most successful of these techniques mainly due to its success in maintaining a low interclass crosscorrelation. The optoelectronic fringe-adjusted joint transform correlator (JTC) is used to provide correlation. A description of the optoelectronic system and the simulation results are provided.
A Kalman Filter based algorithm capable of detecting and discriminating one or more aerosol clouds as a function of range will be presented. The traditional Differential Scattering (DISC) technique does not optimally ...
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ISBN:
(纸本)0819445568
A Kalman Filter based algorithm capable of detecting and discriminating one or more aerosol clouds as a function of range will be presented. The traditional Differential Scattering (DISC) technique does not optimally utilize all the information available with tunable LIDAR sensors. For this reason, the authors have investigated an alternative approach that can better handle the general multi-material multi-wavelength scenario. The processing is developed around a statistical signal model that includes additive noise and the effect of a finite laser pulse duration. This algorithm was tested using data that was generated to simulate the response of the Army's FAL sensor. The algorithm is shown to be able discriminate between three materials.
There are significant difficulties in radar automatic data processing arising from poor flexibility of known algorithms and low computational capacity of traditional computer devices. Neural networks can help the rada...
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ISBN:
(纸本)9810475241
There are significant difficulties in radar automatic data processing arising from poor flexibility of known algorithms and low computational capacity of traditional computer devices. Neural networks can help the radar designer to overcome these difficulties as a result of computational power of neural parallel hardware and adaptive capabilities of neural algorithms. The idea of neural net application in the most difficult radar problems is proposed and analized. Some examples of neural methods for radar informationprocessing are proposed and discussed: phase array antenna weights adaptation, genetic algorithms for optimization of multibased coded signals, data associations in multi-target environment, neural training for decision making systems. Results of the analysis for proposed methods prove that a considerable increase in efficiency can be achieved when neural networks are used for radar informationprocessing problems.
A novel optical correlator for three-dimensional (3-D) object recognition is proposed herein. Several projections of a 3-D scene are recorded under white light illumination and fused into a single complex two-dimensio...
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ISBN:
(纸本)0819445568
A novel optical correlator for three-dimensional (3-D) object recognition is proposed herein. Several projections of a 3-D scene are recorded under white light illumination and fused into a single complex two-dimensional function. After properly filtering this function, it is then coded into a computer-generated hologram (CGH). When the CGH is coherently illuminated, a correlation space between the 3-D tested scene and the reference function is reconstructed, in which light peaks indicate on the existences and locations of true targets in the observed 3-D scene. Experimental results are presented.
The technique of the multiple phases retrieval algorithm (MPRA) for designing optical security and verification systems is proposed in this paper. This technique is based on a 4-f optical correlator, which is a common...
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ISBN:
(纸本)0819445568
The technique of the multiple phases retrieval algorithm (MPRA) for designing optical security and verification systems is proposed in this paper. This technique is based on a 4-f optical correlator, which is a common architecture for optical image encryption and verification systems. In the proposed systems, however, two or more phase masks are iteratively retrieved by using the MPRA to obtain the target image. The convergent speed of the iteration process in the MPRA is significantly increased and the recovered image is much more similar to the target one than those in previous approaches. Moreover, the system security is increased since only the pair-wise retrieved phase masks can correctly recover the target images. To avoid carrying two phase keys, one of the phase mask serves as the key and the other phase mask can be stored in the database of the security system as an active lock. Finally, according to our simulation results, the misalignment effects for the phase mask in the Fourier plane are more serious than that in the input plane.
optical inspection techniques have been widely adopted in industrial areas since they provide fast and accurate information on product quality, process status, and machine conditions. The technologies include sensing ...
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ISBN:
(纸本)0819445568
optical inspection techniques have been widely adopted in industrial areas since they provide fast and accurate information on product quality, process status, and machine conditions. The technologies include sensing using vision, laser scattering and imaging, x-ray imaging, and other optical sensing, and data processing for classification and recognition problems. Frequently, data processing tasks are very difficult, which is mainly due to the large volume, the complexity, and the noise of the raw data acquired. Artificial neural networks have been proven to be an effective means to cope with the problems difficult to solve or inefficient to solve by convectional methodologies. This paper presents the applications of neural networks in optical inspection tasks. Among the variety of industrial areas, this paper focuses on the inspection tasks involved in printed circuit board manufacturing processes and semiconductor manufacturing processes, which are the most competing industries in the world today. In this paper, the inspection problems are addressed and the optical techniques together with neural networks to solve such problems are reviewed. The application cases to which neural networks are applied are also presented with their effects.
We propose the use of synchronously moving micro-optics (lenslet arrays) for image pickup and display in three-dimensional integral imaging to overcome the upper resolution limit imposed by the Nyquist sampling theore...
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ISBN:
(纸本)0819445568
We propose the use of synchronously moving micro-optics (lenslet arrays) for image pickup and display in three-dimensional integral imaging to overcome the upper resolution limit imposed by the Nyquist sampling theorem. With the proposed technique, we present an all-optical three-dimensional integral imaging projector. An optically addressed spatial light modulator is used, which potentially provides better image resolution than the conventional CCD and liquid crystal display pair. We present experimental results using a liquid crystal light valve.
Proposed in this paper is a new method of digital informationprocessing in broadband telecommunication systems. The method is based on physical analogue - optical holography. It allows to effectively restore the data...
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ISBN:
(纸本)966796812X
Proposed in this paper is a new method of digital informationprocessing in broadband telecommunication systems. The method is based on physical analogue - optical holography. It allows to effectively restore the data block on its small fragment.
An encrypted optical storage based on a joint transform correlator architecture by using a photorefractive material is presented. A key code designed by optimized algorithm so that its Fourier transform has a uniform ...
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ISBN:
(纸本)0819445568
An encrypted optical storage based on a joint transform correlator architecture by using a photorefractive material is presented. A key code designed by optimized algorithm so that its Fourier transform has a uniform amplitude distribution and a random phase distribution is introduced. Original two-dimensional data and the key code are placed side by side at the input plane. Both of them are stored in a photorefractive material as a joint power spectrum. The retrieval of the original data can be achieved with the same key code. We can record multiple two-dimensional data in a same crystal by angular multiplexing. Furthermore we can record by key code multiplexing because another designed key code can produce another independent phase distribution. We demonstrate the concept of the optical data storage system by computer simulations.
In this paper, a novel metric is defined that will allow one to compare the performance of 3-D pattern recognition systems. Any real object is inherently, three-dimensional. Therefore, any input object for an automate...
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ISBN:
(纸本)081944555X
In this paper, a novel metric is defined that will allow one to compare the performance of 3-D pattern recognition systems. Any real object is inherently, three-dimensional. Therefore, any input object for an automated target recognition system should be ideally compared to the 3-D information about the object. The proposed metric captures the essence of such comparisons.
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