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检索条件"任意字段=Conference on Intelligent Robots and Computer Vision XXXII - Algorithms and Techniques"

共 372 条记录，以下是51-60 订阅

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MORPHOLOGICAL GRANULOMETRIC SHAPE-RECOGNITION IN NOISE 12

MORPHOLOGICAL GRANULOMETRIC SHAPE-RECOGNITION IN NOISE

引用

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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Hierarchical Loop Detection for Mobile Outdoor robots

Hierarchical Loop Detection for Mobile Outdoor Robots

引用

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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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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Intuitive control of robotic manipulators

Intuitive control of robotic manipulators

引用

conference on intelligent robots and computer vision XXVIII: algorithms and techniques

作者： Rusbarsky, David Gray, Jeremy Peters, Douglas RE2 Inc 4925 Harrison St Pittsburgh PA 15201 USA US Army TARDEC Warren MI 48397 USA

ISBN: (纸本)9780819484154

As part of the Modular intelligent Manipulation system with Intuitive Control program, industry is working with the U. S. Army to explore technologies that will allow a user to intuitively control multiple degree of freedom robotic arms and maintain better awareness of the operating environment through haptic feedback. In addition to reporting resistance, haptic feedback can help make operators feel like they are actually there with the robot, opening doors, unscrewing blast caps, cutting wires, or removing batteries. Coupled with intuitive controls and advanced video feedback, the goal of this project is to provide users with the sensation that the robot is an extension of their body, all from a safe distance.

关键词： Robotic Manipulation Haptic Feedback Human System Integration computer vision GUI

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intelligent robots and computer vision XI: algorithms, techniques, and Active vision

Intelligent Robots and Computer Vision XI: Algorithms, Techn...

引用

intelligent robots and computer vision XI: algorithms, techniques, and Active vision

ISBN: (纸本)0819410268

The conference materials contain 71 papers. The main topics covered include pattern recognition in computer vision;locating edges, lines curves, and surfaces in robotic vision;segmentation, motion, and color techniques;morphological processing for intelligent robotics;sensory robotics and control: vision, collision avoidance, path planning;visual servoing in automated manufacturing;and active vision.

关键词： intelligent robots

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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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Improving Shape Context Using Geodesic Information And Reflection Invariance

Improving Shape Context Using Geodesic Information And Refle...

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conference on intelligent robots and computer vision XXX - algorithms and techniques

作者： Premachandran, Vittal Kakarala, Ramakrishna Nanyang Technol Univ Sch Comp Engn Singapore 639798 Singapore

ISBN: (纸本)9780819494351

In this paper, we identify some of the existing problems in shape context matching. We first identify the need for reflection invariance in shape context matching algorithms and propose a method to achieve the same. With the use of these reflection invariance techniques, we bring all the objects, in a database, to their canonical form, which halves the time required to match two shapes using their contexts. We then show how we can build better shape descriptors by the use of geodesic information from the shapes and hence improve upon the well-known Inner Distance Shape Context (IDSC). The IDSC is used by many pre- and post-processing algorithms as the baseline shape-matching algorithm. Our improvements to IDSC will remain compatible for use with those algorithms. Finally, we introduce new comparison metrics that can be used for the comparison of two or more algorithms. We have tested our proposals on the MPEG-7 database and show that our methods significantly outperform the IDSC.

关键词： object recognition shape matching shape descriptor computer vision

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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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AN IMPROVING VISIBILITY METHOD FOR UNDERWATER robots 12

AN IMPROVING VISIBILITY METHOD FOR UNDERWATER ROBOTS

引用

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

作者： LIU, SQ XIA, YX FENGPING, JB WAWG, TL GONG, ZB ACAD SINICA ANHUI INST OPT & FINE MECHHEFEI 230031PEOPLES R CHINA

ISBN: (纸本)0819413208

Fov improving underwater visibility for robots. a method using special intervallic series of light pulses, and two acts of emitting and receiving are performed by two special designed optical shutters and the control signals are synchronized delayed is presented. Calculations show that the received backscattering light can be reduced and so the visible distance increased . This method has several advantages which can make it practical for underwater robots and other actual use. Its feasibility has been demonstrated in the experiments. while only in principle as the limitation of the experimental conditions at present. © 1993 SPIE.

关键词： Underwater visibility

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