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

共 664 条记录，以下是81-90 订阅

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PATTERN SPECTRUM MORPHOLOGY FOR TEXTURE-DISCRIMINATION AND OBJECT RECOGNITION

PATTERN SPECTRUM MORPHOLOGY FOR TEXTURE-DISCRIMINATION AND O...

引用

CONF ON intelligent robots AND computer vision 9 : algorithms AND techniques

作者： LEE, BG TOM, VT Atlantic Aerospace Electronics Corp. (United States)

ISBN: (纸本)0819404489

The pattern spectrum describes the shape and size of structures in an n-dimensional signal. Measurement of the pattern spectrum is based on morphological operations which use a variety of structuring elements to filter a signal at multiple spatial scales. This paper reports on the use of pattern spectra in the grayscale domain for classifying different textures and in the binary domain for object recognition. The advantage of morphological image processing is that it is based on highly parallel primitive operations which are amenable to large-scale implementation in real-time signal processing hardware.

关键词： Image filtering Binary data computer vision technology Machine vision Optical filters Robot vision robots Electronic filtering Image classification Buildings

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MISCIBILITY MATRICES EXPLAIN THE BEHAVIOR OF GRAYSCALE TEXTURES GENERATED BY GIBBS RANDOM-FIELDS

MISCIBILITY MATRICES EXPLAIN THE BEHAVIOR OF GRAYSCALE TEXTU...

引用

CONF ON intelligent robots AND computer vision 9 : algorithms AND techniques

作者： ELFADEL, IM PICARD, RW Massachusetts Institute of Technology (United States)

ISBN: (纸本)0819404489

This paper describes an original approach to the analysis and prediction of graylevel textures generated as equilibrium states of Gibbs/Markov random fields. This approach is physically motivated by the analogy that exists between the graylevel textures and the miscibility patterns of multiphase flows. The physics of the situation is captured using miscibility matrices that are related to the co-occurrence matrices classically used for texture discrimination. Simulations are provided to motivate and illustrate our approach.

关键词： Matrices Magnetorheological finishing robots computer vision technology Machine vision Robot vision Optimization (mathematics) Binary data Physics computer programming

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Processing real-time stereo video for an autonomous robot using disparity maps and sensor fusion

Processing real-time stereo video for an autonomous robot us...

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

作者： Rosselot, D Hall, EL Univ Cincinnati Ctr Robot Res Dept Mech Ind & Nucl Engn Cincinnati OH 45221 USA

ISBN: (纸本)081945561X

The Bearcat "Cub" Robot is an interactive, intelligent, Autonomous Guided Vehicle (AGV) designed to serve in unstructured environments. Recent advances in computer stereo vision algorithms that produce quality disparity and the availability of low cost high speed camera systems have simplified many of tasks associated with robot navigation and obstacle avoidance using stereo vision. Leveraging these benefits, this paper describes a novel method for autonomous navigation and obstacle avoidance currently being implemented on the UC Bearcat Robot. The core of this approach is the synthesis of multiple sources of real-time data including stereo image disparity maps, tilt sensor data, and LADAR data with standard contour, edge, color, and line detection methods to provide robust and intelligent obstacle avoidance. An algorithm is presented with Matlab code to process the disparity maps to rapidly produce obstacle size and location information in a simple format, and features cancellation of noise and correction for pitch and roll. The vision and control computers are clustered with the Parallel Virtual Machine (PVM) software. The significance of this work is in presenting the methods needed for real time navigation and obstacle avoidance for intelligent autonomous robots.

关键词： autonomous robot stereo vision disparity map sensor fusion parallel computing

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intelligent CONTROL OF ROBOTIC PAINT STRIPPING USING COLOR-vision FEEDBACK 12

INTELLIGENT CONTROL OF ROBOTIC PAINT STRIPPING USING COLOR-V...

引用

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

作者： HARVEY, DN ROGERS, TW MTS SYST CORP EDEN PRAIRIEMN 55344

ISBN: (纸本)0819413208

A robotic work cell for stripping paint from both large and small aircraft is currently under development at Pratt & Whitney - Waterjet Systems (formerly USBI Co., Advanced Programs). The primary objectives for this system are to reduce the time required to strip an aircraft, improve the quality and consistency of the stripping operation, and reduce the need for environmentally objectionable stripping processes such as chemical methods. One of the keys to the overall success of this automated paint stripping system is the integration of a sensor that will provide for adaptive process control. This sensor must be able to indicate when a layer of paint has been completely stripped from the aircraft, and measure the approximate size of any remaining unstripped patches. The sensor should also be able to indicate when surface roughening is occurring on the material beneath the paint.

关键词： Sensors Machine vision Process control Video RGB color model Cameras Robotics robots Color vision computer vision technology

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Model-based human face recognition in intelligent vision

Model-based human face recognition in intelligent vision

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Conference on intelligent robots and computer vision XV: algorithms, techniques, Active vision, and Materials Handling

作者： Cai, DF Liang, HY Wang, XW Chen, JF Institute of Electronics (China)

ISBN: (纸本)0819423068

The face recognition, one of the most important ability of intelligent vision, are discussed in this paper. A new idea of model-based processing are presented. The algorithms of face modeling, global matching and fine matching, and feature points extraction etc. are given Finally, a rapid and robust scheme for human face recognition are resulted.

关键词： face recognition intelligent vision model-based modeling feature points extraction

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ON THE COMPLEXITY OF COMPUTING REACHABLE WORKSPACES FOR REDUNDANT MANIPULATORS

ON THE COMPLEXITY OF COMPUTING REACHABLE WORKSPACES FOR REDU...

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CONF ON intelligent robots AND computer vision 9 : algorithms AND techniques

作者： ALAMELDIN, T PALIS, M RAJASEKARAN, S BADLER, N Univ of Pennsylvania Philadelphia United States

ISBN: (纸本)0819404489

The complexity of computing 3D workspaces for joint limited redundant manipulators is examined. Different types of reachable workspace volume and reachable workspace boundary problems are defined. Each type of volume problem is at least as hard as its corresponding type of boundary problem, and each problem type is at least NP hard. New efficient and adaptive workspace point computation techniques are proposed (e.g. based on nonlinear programming) after complexity analyses of the corresponding decision problems.

关键词： robots, Industrial

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intelligent robot trends and predictions for the first year of the new millennium

Intelligent robot trends and predictions for the first year ...

引用

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

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

ISBN: (纸本)0819438626

An intelligent robot is a remarkably useful combination of a manipulator, sensors and controls. The current use of these machines in outer space, medicine, hazardous materials, defense applications and industry is being pursued with vigor. In factory automation, industrial robots can improve productivity, increase product quality and improve competitiveness. The computer and the robot have both been developed during recent times. The intelligent robot combines both technologies and requires a thorough understanding and knowledge of mechatronics. Today's robotic machines are faster, cheaper, more repeatable, more reliable and safer than ever. The knowledge base of inverse kinematic and dynamic solutions and intelligent controls is increasing. More attention is being given by industry to robots, vision and motion controls. New areas of usage are emerging for service robots, remote manipulators and automated guided vehicles. Economically, the robotics industry now has more than a billion-dollar market in the U.S. and is growing. Feasibility studies show decreasing costs for robots and unaudited healthy rates of return for a variety of robotic applications. However, the road from inspiration to successful application can be long and difficult, often taking decades to achieve a new product. A greater emphasis on mechatronics is needed in our universities. Certainly, more cooperation between government, industry and universities is needed to speed the development of intelligent robots that will benefit industry and society. The fearful robot stories may help us prevent future disaster. The inspirational robot ideas may inspire the scientists of tomorrow. However, the intelligent robot ideas, which can be reduced to practice, will change the world.

关键词： intelligenr robots mechatronics industrial robots artificial intelligence

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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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Hand-eye coordination with an active camera head

Hand-eye coordination with an active camera head

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

作者： Bishay, M Peters, A Wilkes, DM Kawamura, K Rockwell Semiconductor Systems (United States) Vanderbilt Univ. (United States)

ISBN: (纸本)0819426407

Hand-eye coordination is the coupling between vision and manipulation. Visual servoing is the term applied to hand-eye coordination in robots. In recent years, research has demonstrated that active vision - active central of camera position and camera parameters - facilitates a robot's interaction with the world. One aspect of active vision is centering an object in an image. This is known as gaze stabilization or fixation. This paper presents a new algorithm that applies target fixation to image-based visual servoing. This algorithm, called Fixation Point Servoing (FPS), uses target fixation to eliminate the need for Jacobian computation. Additionally, FPS requires only the rotation relationship between the camera head and the gripper frames and does not require accurate tracking of the gripper. FPS was tested on a robotics system called ISAC and experimental results are shown. FPS was also compared to a classical Jacobian-based technique using simulations of both algorithms.

关键词： robotics visual servoing active vision fixation pan-tilt heads

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KNOWLEDGE-BASED SYSTEM FOR ANALYSIS OF AERIAL IMAGES

KNOWLEDGE-BASED SYSTEM FOR ANALYSIS OF AERIAL IMAGES

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CONF ON intelligent robots AND computer vision 9 : algorithms AND techniques

作者： SHARIAT, H Lockheed Palo Alto Research Lab. (United States)

ISBN: (纸本)0819404489

In this paper we describe a system for monitoring activities in aerial images. The system uses many knowledge sources and databases to guide the interpretation process. It has an innovative control scheme for managing the execution of the tasks utilizing of its knowledge sources and updating of its many databases. As a result the system not only is aware of the existence and usefulness of all knowledge present in its vanous databases it also knows how to use that knowledge and the processing modules in cooperation to achieve a common goal of detecting events of interests from a set of aerial photographs. Also to overcome the difficulties of the object recognition task a model-based technique is used to detect predict verify and recognize the objects of interests in the scene.

关键词： Image segmentation Databases Image understanding computer vision technology Image analysis Machine vision Image processing Robot vision robots Visual process modeling

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