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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261-270 订阅

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Visual inspection on paper by machine vision

Visual inspection on paper by machine vision

引用

Conference on intelligent robots and computer vision XXI

作者： Kälviäinen, H Saarinen, P Salmela, P Sadovnikov, A Drobchenko, A Lappeenranta Univ Technol Dept Informat Technol Lab Informat Proc FIN-53851 Lappeenranta Finland

ISBN: (纸本)081945155X

There are several important standard laboratory experiments for determining the quality of produced paper in the paper making industry. To know the quality is essential since it defines the use of paper for various purposes. Moreover, customers are expecting a certain degree of quality. Many of paper printability tests are based on off-fine visual inspection. Currently these tests are done by printing test marks on a piece of paper and then observing the quality by a human evaluator. In this report visual inspection on paper by machine vision is discussed from a point of off-line industrial measurements. The work focuses on the following paper printability problems: missing dots (Heliotest), print dot density, unevenness of printing image, surface strength (IGT), ink setting, tinting, fiber counting, and digital printing. Compared to visual inspection by human evaluation, automated machine vision systems could offer several useful advantages: less deviations in measurements, better measurement accuracy, new printability parameters, shorter measurement times, less manpower to monotonic measurements, many quality parameters by one system, and automatic data transfer to mill level information systems. Current results with paper and board samples indicate that human evaluators could be replaced. However, further research is needed since the printability problems vary mill by mill, there is a large number of various paper and board samples, and the relationships between off-line and on-fine measurements must be considered.

关键词： paper printability paper making industry visual inspection machine vision image processing image analysis

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Illuminant-adaptive diffractive-optical RGB-color sensor: 3D grating-optical cross-correlator calculating colored shadows in human vision.

Illuminant-adaptive diffractive-optical RGB-color sensor: 3D...

引用

Conference on intelligent robots and computer vision XXI

作者： Lauinger, N DATRON Sensorsyst GmbH CORRSYS Wetzlar Germany

ISBN: (纸本)081945155X

Colored shadows are observed when two differently colored lights are combined in twilights. When both lights add to an equi-energy white 'balanced' spectrum, the hues of the shadows show regular opponent colors, being reciprocals of the colors of the lights. When a white and a colored light in a twilight add to an 'unbalanced' spectrum, the hues of the shadows result from the same laws of opponency and reciprocity, but the eyes see "what they have optically calculated" instead of seeing "what really (physically) there is". At adaptation to the colored light, unbalanced states in physics become physiologically re-balanced by diffractive-optical chromatic resonance, guaranteeing color constancy at variations of illuminants. Colored shadows can be interpreted as serial products of diffractive 3D :grating-optical von Laue interferences and of optical cross-correlations between local and global information in the human eye. The human eye's hardware, with diffractive-optical multi-layer gratings in aperture and image space, represents an illuminant-adaptive diffractive-optical RGB Color Sensor guaranteeing color space normalization towards RGB equilibrium states (RGB white norms) in reciprocal grating space.

关键词： RGB color model Eye Bismuth Silicon Sun Visible radiation Physics Colorimetry Diffraction Diffraction gratings

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Autonomous mental development in high dimensional state and action spaces

Autonomous mental development in high dimensional state and ...

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International Joint Conference on Neural Networks (IJCNN)

作者： A. Joshi Juyang Weng Department of Electrical and Computer Engineering Michigan State University East Lansing MI USA Department of Computer Science and Engineering Michigan State University East Lansing MI USA

Autonomous mental development (AMD) of robots opened a new paradigm for developing machine intelligence, using neural network type of techniques and it fundamentally changed the way an intelligent machine is developed from manual to autonomous. The work presented is a part of SAIL (self-organizing autonomous incremental learner) project which deals with autonomous development of entire humanoid robot with vision, audition, manipulation and locomotion. The major issue addressed is the challenge of high dimensional action space (5 to 10) in addition to the high dimensional context state space (hundreds to thousands and beyond), typically required by an AMD machine. This is the first work that studies a high dimensional (numeric) action space in conjunction with a high dimensional perception (context state) space, under the AMID mode. Two new learning algorithms, Direct Update on Direction Cosines (DUDC) and High-Dimensional Conjugate Gradient Search (HCGS), are developed, implemented and tested. The convergence properties of both the algorithms and their targeted applications are discussed. Autonomous learning of speech production under reinforcement learning is studied as an example.

关键词： Autonomous mental development intelligent robots Orbital robotics Machine intelligence Neural networks intelligent networks Learning systems Manuals Humanoid robots State-space methods

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Proceedings of SPIE: intelligent robots and computer vision XX - algorithms, techniques, and active vision

Proceedings of SPIE: Intelligent robots and computer vision ...

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

The proceedings contains 60 papers from the Proceedings of SPIE: intelligent robots and computer vision XX: algorithms, techniques, and Active vision. Topics discussed include: feature reduction methods for hyperspectral data;Bayesian object matching based on MCMC sampling and Gabor filters;Omnivision-based autonomous mobile robotic platform and case study of rotating sonar sensor application in unmanned automated guided vehicle.

关键词： Robotics

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

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

引用

2001年

作者： David Paul Casasent Ernest L Hall

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Dynamic vision systems for intelligent robots

Dynamic vision systems for intelligent robots

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

作者： Nguyen, MC Bui, DT TUM Dept Comp Sci Munich Germany

ISBN: (纸本)081944300X

The logical structure of robot vision systems is introduced. It can be used as a basis for designing such systems. Both sensor data fusion and knowledge representation in a vision system may be broken down into four hierarchical levels where at each level knowledge representation in the form of partial models and data fusion complement each other. Multi-processor architectures supporting this type of structure are introduced as a particularly efficient basis for robot vision systems. Practical implementation is given.

关键词： dynamic vision systems intelligent robots robot vision

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Efficient discrimination of active lighting in machine vision

Efficient discrimination of active lighting in machine visio...

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

作者： Viitanen, J VTT Automation (Finland)

ISBN: (纸本)081944300X

A new optical arrangement is introduced for such applications of machine vision that need to discriminate structured laser lighting from stray ambient lighting. Instead of using transmissive filters that usually have high attenuation, a double reflective filter arrangement is presented. A combination of dielectric and metallic mirrors achieves steep stopband attenuation especially in the near infrared region where Si detectors are sensitive and common blackbody-like radiators have high spectral density. An additional advantage follows from the compact size of such a Maksutov-type mirror telescope. Compared to a corresponding refractive design, the length is reduced to less than half.

关键词： Light sources and illumination Machine vision Lithium Mirrors Optical filters Signal attenuation Active vision computer vision technology Robot vision robots

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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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Beyond adaptive critic-creative learning for intelligent mobile robots

Beyond adaptive critic-creative learning for intelligent mob...

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

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

ISBN: (纸本)081944300X

intelligent industrial and mobile robots may be considered proven technology in structured environments. Teach programming and supervised learning methods permit solutions to a variety of applications. However, we believe that to extend the operation of these machines to more unstructured environments requires a new teaming method. Both unsupervised learning and reinforcement learning are potential candidates for these new tasks. The adaptive critic method has been shown to provide useful approximations or even optimal control policies to non-linear systems. The purpose of this paper is to explore the use of new learning methods that goes beyond the adaptive critic method for unstructured environments. The adaptive critic is a form of reinforcement learning. A critic element provides only high level grading corrections to a cognition module that controls the action module. In the proposed system the critic's grades are modeled and forecasted, so that an anticipated set of sub-grades are available to the cognition model. The forecasting grades are interpolated and are available on the time scale needed by the action model. The success of the system is highly dependent on the accuracy of the forecasted grades and adaptability of the action module. Examples from the guidance of a mobile robot are provided to illustrate the method for simple line following and for the more complex navigation and control in an unstructured environment. The theory presented that is beyond the adaptive critic may be called creative theory. Creative theory is a form of learning that models the highest level of human learning- imagination. The application of the creative theory appears to not only be to mobile robots but also to many other forms of human endeavor such as educational learning and business forecasting. Reinforcement learning such as the adaptive critic may be applied to known problems to aid in the discovery of their solutions. The significance of creative theory is that it pe

关键词： reinforcement learning systems adaptive critic intelligent robots heuristic dynamic programming (HDP) dual heuristic programming (DHP) globalized DHP (GDHP)

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Matching shape descriptions of objects

Matching shape descriptions of objects

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

作者： Shrikhande, N Kulkarni, M Cent Michigan Univ Dept Comp Sci Mt Pleasant MI 48859 USA

ISBN: (纸本)081944300X

A model of an object is an image consisting of features of die object. The input is a gray scale image from which features are computed. In his doctoral thesis [7] J. L. Chen used a model based approach for object recognition. His method is based on Rosin's work [26] for extraction of parts. Both model and scene features are contour based properties. Properties of each part such as area, compactness, convexity etc. are computed and used to match the scene image to the model. This paper extends the algorithm in several directions. The contours are improved using two passes over the initial input image. The notion of internal part or base of an object is introduced and used to normalize the part areas. Insignificant parts are merged with neighboring parts to provide a better segmentation of the scene. Interpretation trees are used to match scene to object. The algorithm is tested on simple hand drawn images and also images of buildings obtained from architectural databases.

关键词： computer vision object recognition image processing

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