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检索条件"主题词=Algorithm development"

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MICROPROCESSOR OPEN VISION ENVIRONMENT (MOVE)

MICROPROCESSOR OPEN VISION ENVIRONMENT (MOVE)

引用

Conference on Computer Vision for Industry

作者： SKORDAS, T DEPAOLI, S ITMI (France) GEC (United Kingdom) INRIA (France) AIVRU (United Kingdom) LTIRF-INPG (France)

ISBN: (纸本)0819412384

MOVE is one of the ESPRIT III OMI feasibility studies projects is Vision/Robotics for industrial applications. The objective of MOVE is to study a modular environment specifically designed for the field of Computer Vision, which permits the integration of heterogeneous processors and of specific software. This environment is open -- it allows integration of existing and future processors, actuators and visual sensors -- and it facilitates communication with the external world. It is used directly in the design of a set of industrial vision applications which correspond to real requirements and therefore it facilitates product development and make it cost effective. There are many areas of industry and commerce where application of machine vision would make an important impact on productivity and product quality, but the progress has been slow because of the lack of a suitable high-performance low-cost hardware. This paper gives some elements on how MOVE intends to provide the needed solution.

关键词： Machine vision Telecommunications Software development algorithm development Computer vision technology Data communications Operating systems Standards development Digital signal processing Image processing

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CONTROLLING ERROR PROPAGATION FOR THE RECURSIVE LEAST-SQUARES PREDICTION FILTER 4

CONTROLLING ERROR PROPAGATION FOR THE RECURSIVE LEAST-SQUARE...

引用

4TH CONF ON ADVANCED SIGNAL PROCESSING algorithmS, ARCHITECTURES, AND IMPLEMENTATIONS

作者： BUNCH, JR LEBORNE, RC Univ. of California/San Diego (United States)

ISBN: (纸本)0819412767

The nonlinear nature of the family of fast RLSL algorithms has hindered the study of the numerical properties from a general framework. As more and more applications for these types of fast filters have been realized, the numeric properties have become an essential part of algorithm and hardware development. Most work in the past has been algorithm specific, drawing from a stochastic or a numerical analysis viewpoint. We discuss the numeric behavior of errors propagating between successive filter stages in time and discuss satisfactory conditions which guarantee a stable solution.

关键词： Error analysis Digital filtering Condition numbers algorithm development Nonlinear filtering Numerical analysis Fermium algorithms Information operations Stochastic processes

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MULTIPLE MODEL ESTIMATION FOR CONTROL OF A PHASED-ARRAY RADAR

MULTIPLE MODEL ESTIMATION FOR CONTROL OF A PHASED-ARRAY RADA...

引用

5TH CONF ON SIGNAL AND DATA PROCESSING OF SMALL TARGETS

作者： WATSON, GA BLAIR, WD Naval Surface Warfare Ctr. (United States)

ISBN: (纸本)0819411906

Since phased array radars have the ability to perform adaptive sampling by the radar beam, proper control of the radar has the potential for significantly improving many aspects associated with the tracking of multiple maneuvering targets. The technique proposed in this paper uses the Interacting Multiple Model (IMM) algorithm to track maneuvering targets and control the sampling time and energy levels. Since the output of the IMM algorithm better represents the accuracy of the state estimates during a maneuver than a single model filter, the IMM algorithm is used to compute and on-line measure of tracking performance to determine the scheduling time of the next track update sample period in order to maintain a given level of performance. The sample time is computed as the one positive root of a polynomial equation of the sample period. The model probabilities of the IMM algorithm are also used to schedule the energy level of a radar dwell. As a result, the update times for the filter are a function of track filter performance and the target trajectory. algorithms for computing the sample time and energy level using the output of the IMM algorithm are developed in this paper. Performance comparisons are given for the IMM algorithm using constant data rates, scheduled energy levels, and adaptive data rates.

关键词： Detection and tracking algorithms Radar Error analysis Statistical modeling Switching Electronic filtering Motion models Phased arrays algorithm development Target detection

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ART WITH OPTIMAL 2D SAMPLING FUNCTION

ART WITH OPTIMAL 2D SAMPLING FUNCTION

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CONF ON BIOMEDICAL IMAGE PROCESSING AND BIOMEDICAL VISUALIZATION

作者： FARSAII, B SUNY/Buffalo (United States)

ISBN: (纸本)0819411388

A new model is proposed to reconstruct an image from its ray sum using Algebraic Reconstruction Techniques (ART). Assuming that the original image is band limited, an iterative algorithm is developed that evaluates the updated image and reduces the sampling error during each iteration. Depending on a weight factor, estimation of the updated images in each iteration is the contribution of correction to each sample of the ray sum. The weight factor is the fractional area intercepted by the ray sum and the sampling function. To model a 2D image, an optimal sampling function is used where the sampling function is a cylindrical pulse instead of the customary flat-top sample version of a 2D square pulse. Given energy concentration of the pulse, a class of such pulses are generated. A pulse with maximum concentration of energy is used for sampling of the 2D image. By determining the eigenfunctions of a homogeneous Fredholm equation of the second kind with a symmetric kernel such a pulse is generated. Moreover, it is shown that eigenfunctions of the above integral equation are those classes of pulses where the corresponding eigenvalue is the measure of the concentration of an eigenfunction. The desired pulse is an eigenfunction with the maximum eigenvalue.

关键词： Reconstruction algorithms algorithm development Image processing Image analysis Statistical modeling Differential equations Factor analysis Statistical analysis Computer engineering Medical imaging

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POLAR CLIMATE STUDIES FROM SPACE - OVERVIEW AND CURRENT ISSUES

POLAR CLIMATE STUDIES FROM SPACE - OVERVIEW AND CURRENT ISSU...

引用

Conference on Atmospheric Radiation

作者： LUBIN, D UNIV CALIF SAN DIEGO CALIF SPACE INSTLA JOLLACA 92093

ISBN: (纸本)0819413089

The polar regions are expected to be particularly sensitive to anthropogenic global change. Due to the difficulties in modeling high latitude climate and the logistical challenges with polar field work, satellite remote sensing will have an increasingly important role to play in polar climate research. For studies of atmospheric radiation and meteorology, accurate cloud detection and classification is crucial. Modern methods for polar cloud classification utilize both multispectral threshold and automated pattern recognition techniques. For monitoring sea ice concentration, passive microwave sensors offer an all-weather advantage over visible or infrared scanners, although over clear-sky scenes the latter can provide a much finer spatial resolution. The various algorithms for satellite retrieval and remote sensing in the polar regions are constantly being refined and improved.

关键词： Clouds Satellites Climatology Spatial resolution Environmental sensing Microwave radiation Sensors algorithm development Remote sensing Solar radiation

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ADAPTIVE PROCESSING IN RADAR POLARIMETRY

ADAPTIVE PROCESSING IN RADAR POLARIMETRY

引用

CONF ON RADAR POLARIMETRY

作者： WANG, Y OUMANSOUR, K POTTIER, E SAILLARD, J IRESTE/Univ. of Nantes (France)

ISBN: (纸本)0819409219

In this paper, an adaptive polarimetric system is proposed, which allows for the minimization of the contribution of a stationary clutter by adapting the polarization state of the receiving antenna to the polarimetric signature of the environment by using the minimum power criterion. From the knowledge of the polarimetric signature of the environment and by applying the least mean square criterion, we can detect the presence of targets and estimate their polarimetric parameters. An algorithm of CFAR (Constant False Alarm Rate) is developed to detect the presence of a radar target and of its disappearance.

关键词： Polarimetry Radar Target detection Polarization Sensors Detection and tracking algorithms Antennas algorithm development Environmental sensing Matrices

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SIGNAL EXTRAPOLATION IN NOISY DATA WITH WAVELET REPRESENTATION 4

SIGNAL EXTRAPOLATION IN NOISY DATA WITH WAVELET REPRESENTATI...

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4TH CONF ON ADVANCED SIGNAL PROCESSING algorithmS, ARCHITECTURES, AND IMPLEMENTATIONS

作者： LIN, LC KUO, CCJ Univ. of Southern California (United States)

ISBN: (纸本)0819412767

A new approach for signal extrapolation based on wavelet representation known as scale-time limited extrapolation and a denoising process is investigated in this research. We first examine a new signal modeling technique using wavelets and the corresponding scale-time limited signal extrapolation algorithm. Then, the sensitivity of the algorithm to noise is discussed, and a denoising algorithm based on the time-localization property of the wavelet transform is proposed. By integrating the denoising process and the iterative scale-time limited extrapolation algorithm, we obtain a very robust signal extrapolation algorithm for noisy data. A simulation result of signal extrapolation from noisy observed data is presented to illustrate the performance of the proposed robust signal extrapolation algorithm.

关键词： Wavelets Denoising Interference (communication) Signal processing Signal to noise ratio algorithm development Evolutionary algorithms Image processing Reconstruction algorithms Wavelet transforms

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ROBOTIC 3-D DUAL-DRIVE FORCE-VELOCITY CONTROL FOR TACTILE SENSING AND OBJECT RECOGNITION 6

ROBOTIC 3-D DUAL-DRIVE FORCE-VELOCITY CONTROL FOR TACTILE SE...

引用

CONF ON SENSOR FUSION 6

作者： KORZENIOWSKI, KA WOLOVICH, WA U.S. Naval Academy (United States) Brown Univ. (United States)

ISBN: (纸本)0819413240

This work describes the development and testing of a 3-D dual-drive surface tracking controller that enables a robot to track along any specified path on the surface of an object. The dual-drive controller computes the normal and tangent vectors relative to movement along the path. The result is controlled movement in 3-D on the surface of an object. It is assumed that the path is generated by an external Recognizer in such a way that the data points collected by tactile sensing along the path will maximize the probability of correctly identifying the object. This tactile data collection method is referred to as `object-dependent' sensing because the location of the sensing paths is driven by comparisons made by the Recognizer to a model data base. The application for such a data collection system is object recognition tasks in environmental exploration and manipulation.

关键词： Sensor fusion Detection and tracking algorithms Object recognition algorithm development Data modeling 3D surface sensing Matrices Sensors Control systems Robotics

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AUTOMATIC MICROPROPAGATION OF PLANTS - THE VISION-SYSTEM - GRAPH REWRITING AS PATTERN-RECOGNITION

AUTOMATIC MICROPROPAGATION OF PLANTS - THE VISION-SYSTEM - G...

引用

CONF ON APPLICATIONS OF ARTIFICIAL INTELLIGENCE 1993 : MACHINE VISION AND ROBOTICS ( PREPRINTS )

作者： SCHWANKE, J MEGNET, R JENSCH, P Carl von Ossietzky Univ. Oldenburg (Germany)

ISBN: (纸本)0819412007

The automation of plant-micropropagation is necessary to produce high amounts of biomass. Plants have to be dissected on particular cutting-points. A vision-system is needed for the recognition of the cutting-points on the plants. With this background, this contribution is directed to the underlying formalism to determine cutting-points on abstract-plant models. We show the usefulness of pattern recognition by graph-rewriting along with some examples in this context.

关键词： Artificial intelligence Evolutionary algorithms Pattern recognition Antimony algorithm development Computing systems Image processing Biology Computer science Pollution

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EXTRACTION OF EDGE-BASED AND REGION-BASED FEATURES FOR OBJECT RECOGNITION 12

EXTRACTION OF EDGE-BASED AND REGION-BASED FEATURES FOR OBJEC...

引用

12th Conference on Intelligent Robots and Computer Vision: algorithms and Techniques

作者： COUTTS, B RAVI, S HU, GZ SHRIKHANDE, N CENT MICHIGAN UNIV DEPT COMP SCIMT PLEASANTMI 48858

ISBN: (纸本)0819413208

One of the central problems of computer vision is object recognition. A catalogue of model objects is described as a set of features such as edges and surfaces. The same features are extracted from the scene and matched against the models for object recognition. Edges and surfaces extracted from the scenes are often noisy and imperfect. In this paper algorithms are described for improving low level edge and surface features. Existing edge extraction algorithms are applied to the intensity image to obtain edge features. Initial edges are traced by following directions of the current contour. These are improved by using corresponding depth and intensity information for decision making at branch points. Surface fitting routines are applied to the range image to obtain planar surface patches. An algorithm of region growing is developed that starts with a coarse segmentation and uses quadric surface fitting to iteratively merge adjacent regions into quadric surfaces based on approximate orthogonal distance regression. Surface information obtained is returned to the edge extraction routine to detect and remove fake edges. This process repeats until no more merging or edge improvement can take place. Both synthetic (with Gaussian noise) and real images containing multiple object scenes have been tested using the merging criteria. Results appeared quite encouraging.

关键词： Edge detection Object recognition Image segmentation algorithm development Feature extraction Detection and tracking algorithms Image processing algorithms and systems Computer vision technology Machine vision Visual process modeling

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