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检索条件"任意字段=Intelligent Robots and Computer Vision XXVIII: Algorithms and Techniques"

共 691 条记录，以下是101-110 订阅

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PYRAMIDAL NEURO-vision ARCHITECTURE FOR vision MACHINES 12

PYRAMIDAL NEURO-VISION ARCHITECTURE FOR VISION MACHINES

引用

12th Conference on intelligent robots and computer vision: algorithms and techniques

作者： GUPTA, MM KNOPF, GK UNIV SASKATCHEWAN COLL ENGNINTELLIGENT SYST RES LABSASKATOON S7N 0W0SASKATCHEWANCANADA

ISBN: (纸本)0819413208

The vision system employed by an intelligent robot must be active; active in the sense that it must be capable of selectively acquiring the minimal amount of relevant information for a given task. An efficient active vision system architecture that is based loosely upon the parallel-hierarchical (pyramidal) structure of the biological visual pathway is presented in this paper. Although the computational architecture of the proposed pyramidal neuro-vision system is far less sophisticated than the architecture of the biological visual pathway, it does retain some essential features such as the converging multilayered structure of its biological counterpart. In terms of visual information processing, the neuro-vision system is constructed from a hierarchy of several interactive computational levels, whereupon each level contains one or more nonlinear parallel processors. Computationally efficient vision machines can be developed by utilizing both the parallel and serial information processing techniques within the pyramidal computing architecture. A computer simulation of a pyramidal vision system for active scene surveillance is presented.

关键词： Machine vision Visualization Robot vision Signal processing computer vision technology computer architecture Computing systems Data processing Information visualization Content addressable memory

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Integration of image/video understanding engine into 4D/RCS architecture for intelligent perception-based behavior of robots in real-world environments

Integration of image/video understanding engine into 4D/RCS ...

引用

Conference on intelligent robots and computer vision XXII - algorithms, techniques and Active vision

作者： Kuvich, G Smart Computer Vision Systems (United States)

ISBN: (纸本)081945561X

To be completely successful, robots need to have reliable perceptual systems that are similar to human vision. It is hard to use geometric operations for processing of natural images. Instead, the brain builds a relational network-symbolic structure of visual scene, using different clues to set up the relational order of surfaces and objects with respect to the observer and to each other. Feature, symbol, and predicate are equivalent in the biologically inspired Network-Symbolic systems. A linking mechanism binds these features/symbols into coherent structures, and image converts from a "raster" into a "vector" representation. View-based object recognition is a hard problem for traditional algorithms that directly match a primary view of an object to a model. In Network-Symbolic Models, the derived structure, not the primary view, is a subject for recognition. Such recognition is not affected by local changes and appearances of the object as seen from a set of similar views. Once built, the model of visual scene changes slower then local information in the visual buffer. It allows for disambiguating visual information and effective control of actions and navigation via incremental relational changes in visual buffer. Network-Symbolic models can be seamlessly integrated into the NIST 4D/RCS architecture and better interpret images/video for situation awareness, target recognition, navigation and actions.

关键词： image video understanding network symbolic systems active vision UGV 4D/RCS

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Autonomous robot vision software design using Matlab toolboxes

Autonomous robot vision software design using Matlab toolbox...

引用

Conference on intelligent robots and computer vision XXII - algorithms, techniques and Active vision

作者： Tedder, M Chung, CJ Lawrence Technol Univ Southfield MI 48075 USA

ISBN: (纸本)081945561X

The purpose of this paper is to introduce a cost-effective way to design robot vision and control software using Matlab for an autonomous robot designed to compete in the 2004 intelligent Ground Vehicle Competition (IGVC). The goal of the autonomous challenge event is for the robot to autonomously navigate an outdoor obstacle course bounded by solid and dashed lines on the ground. Visual input data is provided by a DV camcorder at 160 x 120 pixel resolution. The design of this system involved writing an image-processing algorithm using hue, satuaration, and brightness (HSB) color filtering and Matlab image processing functions to extract the centroid, area, and orientation of the connected regions from the scene. These feature vectors are then mapped to linguistic variables that describe the objects in the world environment model. The linguistic variables act as inputs to a fuzzy logic controller designed using the Matlab fuzzy logic toolbox, which provides the knowledge and intelligence component necessary to achieve the desired goal. Java provides the central interface to the robot motion control and image acquisition components. Field test results indicate that the Matlab based solution allows for rapid software design, development and modification of our robot system.

关键词： computer vision algorithms autonomous mobile robots obstacle avoidance fuzzy logic neural networks

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TEXTURE CHARACTERIZATION - MORPHOLOGICAL APPROACH 12

TEXTURE CHARACTERIZATION - MORPHOLOGICAL APPROACH

引用

12th Conference on intelligent robots and computer vision: algorithms and techniques

作者： MAHADASA, V RAO, TCM RAO, BSP SAGAR, BSD ANDHRA UNIV DEPT GEOENGNWALTAIR 530003ANDHRA PRADESHINDIA

ISBN: (纸本)0819413208

Textural filters that are designed in the texture spectrum domain are used by slightly changing rules in the calculation of the texture unit number by ordering the elements of the texture unit with respect to the positions of maximum and minimum gray level values as their initial positions in the 3 X 3 subimage. Following that, maximum and minimum values, in addition to the average value of standardized nine elements, are also considered in the transformation processes. Condition morphological filter is applied on the texture filtered image of 200 X 300 pixel data. The results are showing promising potential for geological feature recognition.

关键词： Image filtering Optical filters Image processing Lithium computer vision technology Machine vision Robot vision robots Linear filtering Digital imaging

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VERTICES AND CORNERS - A MAXIMUM-LIKELIHOOD APPROACH 12

VERTICES AND CORNERS - A MAXIMUM-LIKELIHOOD APPROACH

引用

12th Conference on intelligent robots and computer vision: algorithms and techniques

作者： MALIK, R SO, S STEVENS INST TECHNOL DEPT ELECTR ENGN & COMP SCIHOBOKENNJ 07030

ISBN: (纸本)0819413208

Scenes of polyhedral objects may be accurately represented in 2-D using line sketches. An aim of low level image processing is to generate useful binary images from grey scale images. The binary images generated by enhancement/threshold edge detectors are usually unrefined outlines of the underlying 3-D scene. Such images must be further processed to isolate and identify region boundaries; which, in the case of polyhedra, consist of line segments. The intersection or connection points of these line segments are known as vertices or corners. The work reported in this paper employs a decision theoretic approach to detect vertices in grey scale images.

关键词： Image segmentation computer vision technology Machine vision Robot vision robots Image processing Binary data Silicon 3D image enhancement Sensors

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SEGMENTING TEXT IMAGES WITH MASSIVELY PARALLEL MACHINES

SEGMENTING TEXT IMAGES WITH MASSIVELY PARALLEL MACHINES

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CONF ON intelligent robots AND computer vision 10 : algorithms AND techniques

作者： WILKINSON, RA National Institute of Standards and Technology (United States)

ISBN: (纸本)0819407445

Image segmentation, the partitioning of an image into meaningful parts, is a major concern of any computer vision system. The meaningful parts of a text image are lines of text, words, and characters. In this paper, the segmentation of pages of text into lines of text and lines of text into characters on a parallel machine are examined. Using a parallel machine for text image segmentation allows the use of techniques that are impractical on a serial machine due to the computation time needed. It is possible to use a parallel machine to segment text images of lines using spatial histograms with an accuracy of 97.9% at a speed of 30 milliseconds or less per character. Statistically adaptive rules based on dynamic adaptive sampling are used for line segmentation and also for improved accuracy of character segmentation. The segmentation of lines from a page can also be accomplished using a set of statistically adaptive rules which allow sloped lines of text to be segmented. The use of these statistical rules on a parallel machine increases processing time by no more than 1 millisecond per character. Using statistical rules in combination with knowledge about the printed style increases the segmentation accuracy to 99.2% correct for machine-printed text and 89.6% for hand-printed text.

关键词： Image segmentation Image processing Binary data Robot vision robots computer vision technology Machine vision Computing systems Image processing algorithms and systems Optical character recognition

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MORPHOLOGICAL GRANULOMETRIC SHAPE-RECOGNITION IN NOISE 12

MORPHOLOGICAL GRANULOMETRIC SHAPE-RECOGNITION IN NOISE

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12th Conference on intelligent robots and computer vision: algorithms and techniques

作者： CHENG, YC DOUGHERTY, ER NO TELECOM NETWORK APPLICAT SYSTROCHESTERNY 14609

ISBN: (纸本)0819413208

Shape classification via linear granulometric moments is examined for patterns suffering varying degrees of edge noise. It is seen that recognition is quite poor even for modest amounts of noise and remains poor even when the patterns are first filtered by a close-open filter. Recognition accuracy is greatly improved, for both unfiltered and filtered images, by employing exterior granulometries. These are constructed by applying the various linear structuring-element sequences to the corresponding linear convex hulls of the noisy patterns. The resulting granulometric distributions are then not corrupted by noise-induced probability mass at the left of the pattern spectrum, thereby greatly diminishing the detrimental effects on the pattern spectrum moments.

关键词： Binary data Image processing computer vision technology Machine vision Robot vision robots Image classification Pattern recognition Image filtering Imaging systems

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Active vision system for planning and programming of industrial robots in one-of-a-kind manufacturing

Active vision system for planning and programming of industr...

引用

Conference on intelligent robots and computer vision XIV - algorithms, techniques, Active vision, and Materials Handling

作者： Berger, U Schmidt, A UNIV BREMEN BIBAD-28335 BREMENGERMANY

ISBN: (纸本)0819419524

The aspects of automation technology in industrial one-of-a-kind manufacturing are discussed. An approach to improve the quality and cost relation is developed and an overview of an 3D- vision supported automation system is given. This system is based on an active vision sensor for 3D-geometry feedback. Its measurement principle, the coded light approach, is explained. The experimental environment for the technical validation of the automation approach is demonstrated, where robot based processes (assembly, arc welding and flame cutting) are graphically simulated and off-line programmed. A typical process sequence for automated one- of-a-kind manufacturing is described. The results of this research development are applied to a project on the automated disassembling of car parts for recycling using industrial robots.

关键词： one-of-a-kind manufacturing industrial robot active vision structured light approach 3D-measurement geometry feedback process simulation off-line programming assembly arc welding flame cutting disassembling car recycling

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Hierarchical Loop Detection for Mobile Outdoor robots

Hierarchical Loop Detection for Mobile Outdoor Robots

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Conference on intelligent robots and computer vision XXIX - algorithms and techniques

作者： Lang, Dagmar Winkens, Christian Haeselich, Marcel Paulus, Dietrich Univ Koblenz Landau AGAS Robot Act Vis Grp D-56070 Koblenz Germany

ISBN: (纸本)9780819489487

Loop closing is a fundamental part of 3D simultaneous localization and mapping (SLAM) that can greatly enhance the quality of long-term mapping. It is essential for the creation of globally consistent maps. Conceptually, loop closing is divided into detection and optimization. Recent approaches depend on a single sensor to recognize previously visited places in the loop detection stage. In this study, we combine data of multiple sensors such as GPS, vision, and laser range data to enhance detection results in repetitively changing environments that are not sufficiently explained by a single sensor. We present a fast and robust hierarchical loop detection algorithm for outdoor robots to achieve a reliable environment representation even if one or more sensors fail.

关键词： ring closing Detection algorithms Loops Robot Sensors Outdoors simultaneous localization and mapping Hierarchical Range of a function

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intelligent robot trends and predictions for the .Net future

Intelligent robot trends and predictions for the .Net future

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Conference on intelligent robots and computer vision XX: algorithms, techniques, and Active vision

作者： Hall, EL Univ Cincinnati Ctr Robot Res Cincinnati OH 45221 USA

ISBN: (纸本)081944300X

An intelligent robot is a remarkably useful combination of a manipulator, sensors and controls. The use of these machines in factory automation can improve productivity, increase product quality and improve competitiveness. This paper presents a discussion of recent and future technical and economic trends. During the past twenty years the use of industrial robots that are equipped not only with precise motion control systems but also with sensors such as cameras, laser scanners, or tactile sensors that permit adaptation to a changing environment has increased dramatically. intelligent robot products have been developed in many cases for factory automation and for some hospital and home applications. To reach an even higher degree of applications, the addition of learning may be required. Recently, learning theories such as the adaptive critic have been proposed. In this type of learning, a critic provides a grade to the controller of an action module such as a robot. The adaptive critic is a good model for human learning. In general, the critic may be considered to be the human with the teach pendant, plant manager, line supervisor, quality inspector or the consumer. If the ultimate critic is the consumer, then the quality inspector must model the consumer's decision-making process and use this model in the design and manufacturing operations. Can the "adaptive critic" be used to advance intelligent robots? intelligent robots have historically taken decades to be developed and reduced to practice. Methods for speeding this development include technology such as rapid prototyping and product development and government, industry and university cooperation.

关键词： intelligent robots mechatronics industrial robots artificial intelligence adaptive critic

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