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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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Fruit shape classification using support vector machine

Fruit shape classification using support vector machine

引用

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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Bayesian stereo: 3D vision designed for sensor fusion

Bayesian stereo: 3D vision designed for sensor fusion

引用

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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Self-calibration algorithms for cameras and laser range finders

Self-calibration algorithms for cameras and laser range find...

引用

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

作者： Zhang, QL Pless, R Washington Univ Dept Comp Sci & Engn St Louis MO 63130 USA

ISBN: (纸本)081945561X

Autonomous systems that navigate through unknown and unstructured environments must solve the egomotion estimation problem. Fusing the information from many different sensors makes this motion estimation more stable, but requires that the relative position and orientation of these sensors be known. Self-calibration algorithms are the most useful for this calibration problem because the do not require any known feature in the environment and can be used during system operation. Here we give geometric constraints, the coherent motion constraints, that allow a framework for the development of self-calibration algorithms for a heterogeneous sensor system (such as cameras, laser range finders, and odometry). If, for all sensors, a conditional probability density function can be defined to relate sensor measurements to the sensor motion, then the coherent motion constraints allows a maximum likelihood formulation of the sensor calibration problem. We present complete algorithms here for the case of a camera and laser range finder, in the case of both discrete and differential motions.

关键词： Sensors Cameras Calibration Motion estimation Laser range finders Motion measurement Imaging systems Algorithm development robots Sensor calibration

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BEYOND PURE STATIC SHAPE IN FUNCTION-BASED OBJECT RECOGNITION 12

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

引用

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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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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Predictive vision from stereo video: Robust object detection for autonomous navigation using the Unscented Kalman Filter on streaming stereo images

Predictive vision from stereo video: Robust object detection...

引用

27th conference on intelligent robots and computer vision: algorithms and techniques

作者： Rosselot, Donald Aull, Mark Hall, Ernest L. Univ Cincinnati Sch Dynam Syst Ctr Robot Res Cincinnati OH 45221 USA

ISBN: (纸本)9780819479327

A predictive object detection algorithm was developed to investigate the practicality of using advanced filtering on stereo vision object detection algorithms such as the X-H Map. Obstacle detection with stereo vision is inherently noisy and non linear. This paper describes the X-H Map algorithm and details a method of improving the accuracy with the Unscented Kalman Filter (UKF). The significance of this work is that it details a method of stereo vision object detection and concludes that the UKF is a relevant method of filtering that improves the robustness of obstacle detection given noisy inputs. This method of integrating the UKF for use in stereo vision is suitable for any standard stereo vision algorithm that is based on pixel matching (stereo correspondence) from disparity maps.

关键词： Autonomous navigation Unscented Kalman Filter stereo vision XH-map algorithm Disparity Map

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Loop Closure Detection Using Local Zernike Moment Patterns

Loop Closure Detection Using Local Zernike Moment Patterns

引用

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

作者： Sariyanidi, Evangelos Sencan, Onur Temeltas, Hakan Istanbul Tech Univ Control & Automat Engn Dept TR-34469 Istanbul Turkey

ISBN: (纸本)9780819494351

This paper introduces a novel image description technique that aims at appearance based loop closure detection for mobile robotics applications. This technique relies on the local evaluation of the Zernike Moments. Binary patterns, which are referred to as Local Zernike Moment (LZM) patterns, are extracted from images, and these binary patterns are coded using histograms. Each image is represented with a set of histograms, and loop closure is achieved by simply comparing the most recent image with the images in the past trajectory. The technique has been tested on the New College dataset, and as far as we know, it outperforms the other methods in terms of computation efficiency and loop closure precision.

关键词： Loop closure mobile robotics image processing SLAM computer vision

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Video flow active control by means of adaptive shifted foveal geometries

Video flow active control by means of adaptive shifted fovea...

引用

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

作者： Urdiales, C Rodríguez, JA Bandera, A Sandoval, F Univ Malaga ETSI Telecommun Dept Elect Technol E-29071 Malaga Spain

ISBN: (纸本)0819438626

This paper presents a control mechanism for video transmission that relies on transmitting non-uniform resolution images depending on the delay of the communication channel. These images are built in an active way to keep the areas of interest of the image at the highest resolution available. In order to shift the area of high resolution over the image and to achieve a data structure easy to process by using conventional algorithms, a shifted fovea multiresolution geometry of adaptive size is used. Besides, if delays are nevertheless too high, the different areas of resolution of the image can be transmitted at different rates. A functional system has been developed for corridor surveillance with static cameras. Tests with real video images have proven that the method allows an almost constant rate of images per second as long as the channel is not collapsed.

关键词： active vision foveal images control flow motion detection

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Towards vision-Based Impedance Control for the Contact Inspection of Unknown Generically-Shaped Surfaces with a Fully-Actuated UAV

Towards Vision-Based Impedance Control for the Contact Inspe...

引用

IEEE/RSJ International conference on intelligent robots and Systems (IROS)

作者： Rashad, Ramy Bicego, Davide Jiao, Ran Sanchez-Escalonilla, Santiago Stramigioli, Stefano Univ Twente Robot & Mechatron Grp Enschede Netherlands Beihang Univ Sch Mech Engn & Automat Beijing Peoples R China ITMO Univ St Petersburg Russia

ISBN: (纸本)9781728162126

The integration of computer vision techniques for the accomplishment of autonomous interaction tasks represents a challenging research direction in the context of aerial robotics. In this paper, we consider the problem of contact-based inspection of a textured target of unknown geometry and pose. Exploiting state of the art techniques in computer graphics, tuned and improved for the task at hand, we designed a framework for the projection of a desired trajectory for the robot end-effector on a generically-shaped surface to be inspected. Combining these results with previous work on energy-based interaction control, we are laying the basis of what we call vision-based impedance control paradigm. To demonstrate the feasibility and the effectiveness of our methodology, we present the results of both realistic ROS/Gazebo simulations and preliminary experiments with a fully-actuated hexarotor interacting with heterogeneous curved surfaces whose geometric description is not available a priori, provided that enough visual features on the target are naturally or artificially available to allow the integration of localization and mapping algorithms.

关键词： vision-Based Impedance Control Aerial Physical Interaction Contact-Based Inspection Aerial Robotics

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An embedded vision system for an unmanned four-rotor helicopter

An embedded vision system for an unmanned four-rotor helicop...

引用

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

作者： Lillywhite, Kirt Lee, Dah-Jye Tippetts, Beau Fowers, Spencer Dennis, Aaron Nelson, Brent Archibald, James Brigham Young Univ Dept Elect & Comp Engn Robot Vis Lab Provo UT 84602 USA

ISBN: (纸本)0819464821

In this paper an embedded vision system and control module is introduced that is capable of controlling an unmanned four-rotor helicopter and processing live video for various law enforcement, security, military, and civilian applications. The vision system is implemented on a newly designed compact FPGA board (Helios). The Helios board contains a Xilinx Virtex-4 FPGA chip and memory making it capable of implementing real time vision algorithms. A Smooth Automated intelligent Leveling daughter board (SAIL), attached to the Helios board, collects attitude and heading information to be processed in order to control the unmanned helicopter. The SAIL board uses an electrolytic tilt sensor, compass, voltage level converters, and analog to digital converters to perform its operations. While level flight can be maintained, problems stemming from the characteristics of the tilt sensor limits maneuverability of the helicopter. The embedded vision system has proven to give very good results in its performance of a number of realtime robotic vision algorithms.

关键词： field programmable gate arrays (FPGA) robot vision unmanned helicopter attitude control

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