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检索条件"任意字段=Conference on Optical Pattern Recognition XXV"

共 17 条记录，以下是1-10 订阅

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Wavelet analysis for compressed image sensing using matrices

Wavelet analysis for compressed image sensing using matrices

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conference on optical pattern recognition xxv

作者： Sokolnikov, Andre Visual Solut & Applicat South Bend IN 46615 USA

ISBN: (纸本)9781628410310

Recently, substantial efforts have been made to find an alternative approach to the Shannon sampling theorem with a method that can deal with large data sets, something for which the Shannon theorem is not easily applicable. If applied, the above approach would have to surmount difficult computational problems resulting from large data. In order to deal with the large data sets, we avoid a universal image acquisition and use wavelet matrices based on tree structures. The proposed approach allows a calculation reduction that yields a better control over the compressed image quality. The suggested technique also advocates a selective approach over the non-adaptive, random functions favored by the Shannon sampling theorem.

关键词： optical pattern recognition regression trees image acquisition Shannon theorem wavelet analysis

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MINACE filter: variants of realization in 4-f correlator

MINACE filter: variants of realization in 4-f correlator

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conference on optical pattern recognition xxv

作者： Shaulskiy, Dmitry V. Evtikhiev, Nikolay N. Starikov, Rostislav S. Starikov, Sergey N. Zlokazov, Evgeny Y. Natl Res Nucl Univ MEPhI Moscow Russia

ISBN: (纸本)9781628410310

Minimum Noise And Correlation Energy (MINACE) filters application provides good ability to recognize in case of grayscale input images of an object with background noises. For fast correlation matching MINACE filters can be used in 4-f correlators as a computer generated hologram (holographic filters). In this paper different variants of holographic filters realization were discussed. The results of correlation recognition with holographic MINACE filters are presented.

关键词： computer generated hologram optical correlators MINACE filter minimum noise and correlation energy filter pattern recognition distortion invariant filters holographic filters 4-f correlator

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Addressing channel noise and bit rate in a multi-channel free space optical communication system

Addressing channel noise and bit rate in a multi-channel fre...

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conference on optical pattern recognition xxv

作者： Walker, Brian Lu, Thomas Costello, Colin Reyes, George Chao, Tien-Hsin Georgia Inst Tech Atlanta GA 30332 USA CALTECH Jet Prop Lab Pasadena CA 91125 USA Calif State Polytech Univ Pomona Pomona CA 91768 USA

ISBN: (纸本)9781628410310

In this paper, we present a method to optimize Multi-Channel Free Space optical Communication for statically aligned transmitter-receiver pairs. pattern recognition algorithms are employed to minimize crosstalk between pixels, reducing the need for channel redundancy. Digitization is accomplished through comparison with several look up tables which are generated during alignment. Mathematical modeling has been performed to simulate the optical misalignment. A multi-stage automated alignment system can be developed based on the models. Simulation of the in plane and out-of-plane translation and rotation shows that this method builds a foundation of an effective self-healing precision optical alignment system.

关键词： Free space optical communication noise reduction cross talk in-plane/out-plane alignment

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High-speed optical processing Using Digital Micromirror Device

High-speed Optical processing Using Digital Micromirror Devi...

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conference on optical pattern recognition xxv

作者： Chao, Tien-Hsin Lu, Thomas Walker, Brian Reyes, George CALTECH Jet Prop Lab Pasadena CA 91125 USA Georgia Inst Technol Atlanta GA USA

ISBN: (纸本)9781628410310

We have designed optical processing architecture and algorithms utilizing the DMD as the input and filter Spatial Light Modulators (SLM). Detailed system analysis will be depicted. Experimental demonstration, for the first time, showing that a complex-valued spatial filtered can be successfully written on the DMDSLM using a Computer Generated Hologram (CGH) [1] encoding technique will also be provided. The high-resolution, high-bandwidth provided by the DMD and its potential low cost due to mass production will enable its vast defense and civil application.

关键词： Real-time optical Processing Grayscale optical Correlator optical implementation of CGH using a DMD SLM Computer Generated Hologram Correlation filter implemented on a DMD SLM

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Target Tracking Using Log-Polar Transform-Based Shifted Phase-Encoded Joint Transform Correlation

Target Tracking Using Log-Polar Transform-Based Shifted Phas...

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conference on optical pattern recognition xxv

作者： Islam, Mohammed Nazrul Bitew, Worku T. SUNY Dept Secur Syst Farmingdale NY 11735 USA SUNY Dept Math Farmingdale NY 11735 USA

ISBN: (纸本)9781628410310

Automatic target detection and tracking requires efficient recognition of the target pattern in variable environmental conditions. optical joint transform correlation (JTC) method has been proven to be efficient in recognizing a target without requiring complex optical set up. However, the classical JTC suffers from poor correlation performance, which can be improved through the use of different and modified designs. A very successful scheme is developed by employing phase-shifted and phase-encoded fringe-adjusted JTC (SPFJTC), which provides with a high discrimination between a target and non-target objects in a given scene and better utilization of the space-bandwidth resource. Further enhancement of the target detection performance can be achieved by incorporating log-polar transform in the SPFJTC technique. We applied the SPFJTC technique to the log-polar transformation of both the reference image and the input scene that makes the pattern recognition invariant to rotation and scale variations. Peak-to-side lobe ratio is measured and a threshold operation is employed to detect and track a target in an unknown input scene.

关键词： Joint transform correlation phase-encoding joint power spectrum correlation fringe-adjusted filter target tracking log-polar transformation pattern recognition

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Automatic diatom recognition on digital images

Automatic diatom recognition on digital images

引用

conference on Applications of Digital Image Processing xxv

作者： Forero, MG Alvarado, JE Tamayo, AL Perez, GC Univ Nacl Colombia Grp OHWAHA Bogota Colombia

ISBN: (纸本)0819445576

Diatoms are a large group of microscopic algae that grow as independent organisms or in small colonies and are characterized by a silica cell wall. They are widely used as ecosystem health and evolution tracers. One of the their most important characteristic is the fact that they vary their shape among different families and this makes possible its classification using pattern recognition techniques. In this paper, we describe a new process based on determining the invariant moments of the objects presented in a digital image to classify them according to the different families. We present a technique to segment the diatoms using a new thresholding technique, contour tracing and a recognition process. Finally, the results are presented.

关键词： diatoms pattern recognition segmentation descriptors clustering

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Local directional pattern of phase congruency features for illumination invariant face recognition

Local directional pattern of phase congruency features for i...

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conference on optical pattern recognition xxv

作者： Essa, Almabrok E. Asari, Vijayan K. Univ Dayton Dept Elect & Comp Engn Dayton OH 45469 USA

ISBN: (纸本)9781628410310

An illumination-robust face recognition system using Local Directional pattern (LDP) descriptors in Phase Congruency (PC) space is proposed in this paper. The proposed Directional pattern of Phase Congruency (DPPC) is an oriented and multi-scale local descriptor that is able to encode various patterns of face images under different lighting conditions. It is constructed by applying LDP on the oriented PC images. A LDP feature is obtained by computing the edge response values in eight directions at each pixel position and encoding them into an eight bit binary code using the relative strength magnitude of these edge responses. Phase congruency and local directional pattern have been independently used in the field of face and facial expression recognition, since they are robust to illumination changes. When the PC extracts the discontinuities in the image such as edges and corners, the LDP computes the edge response values in different directions and uses these to encode the image texture. The local directional pattern descriptor on the phase congruency image is subjected to principal component analysis (PCA) for dimensionality reduction for fast and effective face recognition application. The performance evaluation of the proposed DPPC algorithm is conducted on several publicly available databases and observed promising recognition rates. Better classification accuracy shows the superiority of the LDP descriptor against other appearance-based feature descriptors such as Local Binary pattern (LBP). In other words, our result shows that by using the LDP descriptor the Euclidean distance between reference image and testing images in the same class is much less than that between reference image and testing images from the other classes.

关键词： Face recognition Phase Congruency Local Directional pattern Principal Component Analysis

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A novel two-pattern full lateral resolution structured light illumination method

A novel two-pattern full lateral resolution structured light...

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conference on optical pattern recognition xxv

作者： Wang, Minghao Hassebrook, Laurence Univ Kentucky Dept Elect & Comp Engn Lexington KY 40506 USA

ISBN: (纸本)9781628410310

Structured Light Illumination is a widely used 3D shape measurement technique in non-contact surface scanning. Multi-pattern based Structured Light Illumination methods are the most accurate measuring techniques, but are sensitive to object motion during the pattern projection. To reduce this sensitivity, Composite pattern was introduced as a single pattern Structured Light Illumination technique. Composite pattern technique spatially modulates several Phase Measuring Profilometry patterns into a single pattern but demonstrated sensitivity to surface contrast and an object's Spatial Modulation Transfer Function in the form of banding error. The Modified Composite pattern was developed based on Composite pattern, but used an imbedded binary gray code to minimize sensitivity to an object's Spatial Modulation Transfer Function and banding at the expense of lateral resolution. We present a novel method utilizing an MCP pattern for non-ambiguous phase followed by a single sinusoidal pattern. The surface phase modulates the single sinusoidal pattern which is demodulated using a quadrature demodulation technique and then unwrapped by the MCP phase result. A single sinusoidal pattern reconstruction inherently has banding error. So the final step is to use an existing de-banding algorithm. The mathematical implementation is given in detail for the two pattern algorithm and experimental results are presented.

关键词： 3D structured light composite pattern

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A novel multitracking system for the evaluation of high-level swimmers performances

A novel multitracking system for the evaluation of high-leve...

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conference on optical pattern recognition xxv

作者： Benarab, D. Napoleon, T. Alfalou, A. Verney, A. Hellard, P. L bISEN ISEN Brest Depv Vis 20 Rue Cuirasse BretagneCS 42807 F-29228 Brest 2 France ACTRIS Brest F-29803 Brest France FFN French Swimming Federat F-93508 Pantin France

ISBN: (纸本)9781628410310

Swimmer tracking has specific difficulties compared to the other tracking systems due to some complex problems such as occlusion (by another person, a wall or splashing), variability of the target (in appearance, lighting or behavior). For the sake of conceiving a robust swimmer tracking system we started by developing mono-tracking systems based on some well-known pattern recognition techniques such as optical correlation (Non-linear JTC (Joint Transform Correlator)) and histogram based approaches (Color histogram, LBP (Local Binary patterns) and HOG (Histogram of Oriented Gradients)). As an enhancement to these systems, we introduce the aspect of multi-tracking. Its basic idea is to track several potential targets which will give us several tracks then we choose the best track and relaunch the multi-tracking process. Forasmuch each technique has its own periods of good tracking and dropouts (loss of the object to be tracked), we propose a novel heterogeneous multi-tracking system by taking advantage of different tracking techniques. Each track represents an independent mono-tracking system. The use of the proposed heterogeneous multi-tracking system has improved significantly the tracking results from 81.34% to 94%.

关键词： swimmer tracking multi-tracking optical correlation Joint Transform Correlator histogram LBP HOG

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Performance Evaluation of Optimal Filters for Target Detection Using SAR Imagery

Performance Evaluation of Optimal Filters for Target Detecti...

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conference on optical pattern recognition xxv

作者： Alam, Mohammad S. Khoury, Jed Banerjee, Partha P. Durant, William M. Martin, Daniel M. Nehmetallah, Georges T. Univ S Alabama Dept Elect & Comp Engn 150 Jaguar DrSHEC 4122 Mobile AL 36608 USA Air Force Res Lab Sensors Directorate Wright Patterson AFB OH 45433 USA Univ Dayton Ctr Elect Opt Dayton OH 45469 USA

ISBN: (纸本)9781628410310

Various matched filter based architectures have been proposed over the last two decades to optimize the target detection and recognition performance. While these techniques provide excellent performance with respect to one or more parameters, a unified and synergistic approach to evaluate the performance of these techniques under the same constraints is yet to be done. Consequently, in this paper, we used a set of generalized performance metrics for comparing the performance of the recently reported matched filter based techniques using various types of infrared and SAR datasets. Test results obtained using the aforementioned datasets and performance metrics provide excellent information with respect to the suitability of existing filter based techniques for various target detection and tracking practical applications.

关键词： pattern recognition matched filter Fourier transform fringe-adjusted JTC and SAR imagery

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