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

共 372 条记录，以下是91-100 订阅

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VERTICES AND CORNERS - NORMALIZED AVERAGE DETECTION 12

VERTICES AND CORNERS - NORMALIZED AVERAGE DETECTION

引用

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

作者： MALIK, R REN, H STEVENS INST TECHNOL DEPT ELECT ENGN & COMP SCIHOBOKENNJ 07030

ISBN: (纸本)0819413208

Most of the information regarding the shape of polyhedral objects is preserved in the edges and the vertices of these objects. Gray level images of scenes containing such objects are often processed to extract edge and vertex information to produce equivalent line sketches. An accurate line sketch of a scene serves as an effective input to high level vision systems concerned with scene understanding or object recognition. The performance of these systems is therefore greatly dependent on the accuracy of the line sketch. The work reported in this paper addresses the issues associated with generating accurate line sketches from gray level images. The methods described here have been implemented and tested with real and synthetic images and are compared to other vertex or corner detection techniques. The performance of the vertex detector is assessed using simulation runs on images with varied signal-to-noise ratios. The computational performance of this algorithm is evaluated and assessed by operating directly on the gray-scale image.

关键词： computer vision technology Machine vision Robot vision robots Image segmentation Edge detection Corner detection Signal to noise ratio Image processing Feature extraction

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A new algorithm for fruit shape classification based on level set

A new algorithm for fruit shape classification based on leve...

引用

conference on intelligent robots and computer vision XXIV - algorithms, techniques, and Active vision

作者： Gui, Jiangsheng Ying, Yibin Rao, Xiuqin Zhejiang Univ Dept Biosyst Engn & Food Sci 268 Kaixuan St Hangzhou 310029 Peoples R China

ISBN: (纸本)0819464821

In this research, a new algorithm for fruit shape classification was proposed. The level set representations according to signed distance transforms were used, which are a simple, robust, rich and efficient way to represent shapes. Based on these representations, the rigid transform was adopted to align shapes within the same class, and the simplest possible criterion, the sum of square differences was considered. After align procedure, the average shape representations can easily be derived and shape classification was performed by the nearest neighbor method. Promising results were obtained on experiments showing the efficiency and accurate of our algorithm.

关键词： machine vision shape classification fruit sorting level set

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Fruit shape classification using support vector machine

Fruit shape classification using support vector machine

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conference on intelligent robots and computer vision XXV - algorithms, techniques, and Active vision

作者： Gui, Jiangsheng Rao, Xiuqin Ying, Yibin Zhejiang Sci Tech Univ Dept Elect & Informat Hangzhou 310018 Peoples R China Zhejiang Univ Dept Biosyst Engn & Food Sci Hangzhou 310029 Peoples R China

ISBN: (纸本)9780819469243

A new method along with shape descriptor using support vector machine for classify fruit shape is developed, the image is first subjected to a normalization process using its regular moments to obtain scale and translation invariance, the rotation invariant Zernike features are then extracted from the scale and translation normalized images and the numbers of features are decided by primary component analysis (PCA), at last. these features are input to support vector machine (SVM) classifier and are compared to different classifiers. This method using support vector machine as classifier performs better than traditional approaches that is verified by some experiments.

关键词： machine vision shape classification fruit sorting SVM

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Reactive navigation for autonomous guided vehicle using the neuro-fuzzy techniques

Reactive navigation for autonomous guided vehicle using the ...

引用

conference on intelligent robots and computer vision XVIII - algorithms, techniques, and Active vision

作者： Cao, J Liao, XQ Hall, E Univ Cincinnati Ctr Robot Res Cincinnati OH 45221 USA

ISBN: (纸本)0819434302

A Neuro-fuzzy control method for navigation of an Autonomous Guided Vehicle (AGV) robot is described. Robot navigation is defined as the guiding of a mobile robot to a desired destination or along a desired path in an environment characterized by a terrain and a set of distinct objects, such as obstacles and landmarks. The autonomous navigate ability and road following precision are mainly influenced by its control strategy and real-time control performance. Neural network and fuzzy logic control techniques can improve real-time control performance for mobile robot due to its I;igh robustness and error-tolerance ability. For a mobile robot to navigate automatically and rapidly, an important factor is to identify and classify mobile robots' currently perceptual environment. In this paper, a new approach of the current perceptual environment feature identification and classification which are based on the analysis of the classifying neural network and the Neuro-fuzzy algorithm is presented. The significance of this work lies in the development of a new method for mobile robot navigation.

关键词： mobile robot navigation neuro-fuzzy neural network fuzzy logic

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The 19TH Annual intelligent Ground Vehicle Competition: Student Built Autonomous Ground Vehicles

The 19TH Annual Intelligent Ground Vehicle Competition: Stud...

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

作者： Theisen, Bernard L. USA TARDEC Warren MI 48397 USA

ISBN: (纸本)9780819489487

The intelligent Ground Vehicle Competition (IGVC) is one of four, unmanned systems, student competitions that were founded by the Association for Unmanned Vehicle Systems International (AUVSI). The IGVC is a multidisciplinary exercise in product realization that challenges college engineering student teams to integrate advanced control theory, machine vision, vehicular electronics and mobile platform fundamentals to design and build an unmanned system. Teams from around the world focus on developing a suite of dual-use technologies to equip ground vehicles of the future with intelligent driving capabilities. Over the past 19 years, the competition has challenged undergraduate, graduate and Ph.D. students with real world applications in intelligent transportation systems, the military and manufacturing automation. To date, teams from almost 80 universities and colleges have participated. This paper describes some of the applications of the technologies required by this competition and discusses the educational benefits. The primary goal of the IGVC is to advance engineering education in intelligent vehicles and related technologies. The employment and professional networking opportunities created for students and industrial sponsors through a series of technical events over the four-day competition are highlighted. Finally, an assessment of the competition based on participation is presented.

关键词： intelligent robots autonomous systems ground vehicles vehicle control engineering education IGVC

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Bayesian stereo: 3D vision designed for sensor fusion

Bayesian stereo: 3D vision designed for sensor fusion

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

作者： Larson, J Pless, R Washington Univ St Louis MO 63130 USA

ISBN: (纸本)081945561X

Classical stereo algorithms attempt to reconstruct 3D models of a scene by matching points between two images. Finding points that match is an important part of this process, and point matches are most commonly chosen as the minimum of an error function based on color or local texture. Here we motivate a probabilistic approach to this point matching problem, and provide an experimental design for the empirical measurement of the color matching error for corresponding points. We use this prior in a Bayesian scene reconstruction example, and show that we get better 3D reconstruction by not committing to a specific pixel match early in the visual processing. This allows a calibrated stereo camera to be considered as a probabilistic volume sensor --- which allows it to be more easily integrated with scene structure measurements from other kinds of sensors.

关键词： stereo Bayesian probabilistic sensor fusion

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The 20TH Annual intelligent Ground Vehicle Competition: Building a Generation of Robotists

The 20TH Annual Intelligent Ground Vehicle Competition: Buil...

引用

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

作者： Theisen, Bernard L. Kosinski, Andrew US Army TARDEC Warren MI 48397 USA

ISBN: (纸本)9780819494351

The intelligent Ground Vehicle Competition (IGVC) is one of four, unmanned systems, student competitions that were founded by the Association for Unmanned Vehicle Systems International (AUVSI). The IGVC is a multidisciplinary exercise in product realization that challenges college engineering student teams to integrate advanced control theory, machine vision, vehicular electronics and mobile platform fundamentals to design and build an unmanned system. Teams from around the world focus on developing a suite of dual-use technologies to equip ground vehicles of the future with intelligent driving capabilities. Over the past 20 years, the competition has challenged undergraduate, graduate and Ph.D. students with real world applications in intelligent transportation systems, the military and manufacturing automation. To date, teams from over 80 universities and colleges have participated. This paper describes some of the applications of the technologies required by this competition and discusses the educational benefits. The primary goal of the IGVC is to advance engineering education in intelligent vehicles and related technologies. The employment and professional networking opportunities created for students and industrial sponsors through a series of technical events over the four-day competition are highlighted. Finally, an assessment of the competition based on participation is presented.

关键词： intelligent robots autonomous systems ground vehicles vehicle control engineering education IGVC

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BEYOND PURE STATIC SHAPE IN FUNCTION-BASED OBJECT RECOGNITION 12

BEYOND PURE STATIC SHAPE IN FUNCTION-BASED OBJECT RECOGNITIO...

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

作者： BOWYER, KW STARK, L UNIV S FLORIDA TAMPAFL 33620

ISBN: (纸本)0819413208

There has recently been growing interest in exploiting the concept of reasoning about function for object recognition. In a function-based approach to object recognition, recognition of an object means labeling it as belonging to some category of objects according to the function that it could serve. The few function-based recognition systems which have so far been described in the literature have all assumed that the input to the problem is a pure static shape description. By `pure' shape we mean that the only object property that the systems have reasoned about is their abstract shape. By `static' shape we mean that the systems have reasoned about an object from only a single (assumed rigid) abstract shape instance. This paper discusses some of the issues which must be addressed in extending the function-based approach to handle non-shape properties (such as material properties) and dynamic shape descriptions.

关键词： computer vision technology Machine vision Object recognition 3D modeling Visual process modeling Robot vision robots Aluminum Computing systems Shape analysis

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A comparison of two and three dimensional imaging

A comparison of two and three dimensional imaging

引用

conference on intelligent robots and computer vision XXIV - algorithms, techniques, and Active vision

作者： Hall, Ernest Rosselot, Donald Aull, Mark Balapa, Manohar Univ Cincinnati Ctr Robot Res Cincinnati OH 45221 USA

ISBN: (纸本)0819464821

Three dimensional visual recognition and measurement are important in many machine vision applications. In some cases, a stationary camera base is used and a three-dimensional model will permit the measurement of depth information from a scene. One important special case is stereo vision for human visualization or measurements. In cases in which the camera base is also in motion, a seven dimensional model may be used. Such is the case for navigation of an autonomous mobile robot. The purpose of this paper is to provide a computational view and introduction of three methods to three-dimensional vision. Models are presented for each situation and example computations and images are presented. The significance of this work is that it shows that various methods based on three-dimensional vision may be used for solving two and three dimensional vision problems. We hope this work will be slightly iconoclastic but also inspirational by encouraging further research in optical engineering.

关键词： three dimensional vision stereo imaging human visualization perspective projective model

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DESIGN AND IMPLEMENTATION OF A FUZZY-LOGIC YAW CONTROLLER 12

DESIGN AND IMPLEMENTATION OF A FUZZY-LOGIC YAW CONTROLLER

引用

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

作者： WU, KC SWIFT, AHP CRAVER, WL CHANG, YC UNIV TEXAS DEPT MECH & IND ENGNEL PASOTX 79968

ISBN: (纸本)0819413208

This paper describes a fuzzy logic controller (FLC) designed and implemented to control the yaw angle of a 10 kW fixed speed teetered-rotor wind turbine presently being commissioned at the University of Texas at El Paso. The technical challenge of this project is that the wind turbine represents a highly stochastic nonlinear system. The problems associated with the wind turbine yaw control are of a similar nature as those experienced with position control of high inertia equipment like tracking antenna, gun turrets, and overhead cranes. Furthermore, the wind turbine yaw controller must be extremely cost-effective and highly reliable in order to be economically viable compared to the fossil fueled power generators.

关键词： Fuzzy logic Wind turbine technology Control systems Fuzzy systems robots computer vision technology Electroluminescence Machine vision Robot vision Complex systems

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