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检索条件"任意字段=Intelligent Robots and Computer Vision XII: Algorithms and Techniques 1993"

共 90 条记录，以下是41-50 订阅

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SPATIOTEMPORAL TOPOLOGY AND TEMPORAL SEQUENCE IDENTIFICATION WITH AN ADAPTIVE TIME-DELAY NEURAL-NETWORK 12

SPATIOTEMPORAL TOPOLOGY AND TEMPORAL SEQUENCE IDENTIFICATION...

引用

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

作者： LIN, DT LIGOMENIDES, PA DAYHOFF, JE UNIV MARYLAND DEPT ELECT ENGNCYBERNET RES LABCOLL PKMD 20742

ISBN: (纸本)0819413208

Inspired from the time delays that occur in neurobiological signal transmission, we describe an adaptive time delay neural network (ATNN) which is a powerful dynamic learning technique for spatiotemporal pattern transformation and temporal sequence identification. The dynamic properties of this network are formulated through the adaptation of time-delays and synapse weights, which are adjusted on-line based on gradient descent rules according to the evolution of observed inputs and outputs. We have applied the ATNN to examples that possess spatiotemporal complexity, with temporal sequences that are completed by the network. The ATNN is able to be applied to pattern completion. Simulation results show that the ATNN learns the topology of a circular and figure eight trajectories within 500 on-line training iterations, and reproduces the trajectory dynamically with very high accuracy. The ATNN was also trained to model the Fourier series expansion of the sum of different odd harmonics. The resulting network provides more flexibility and efficiency than the TDNN and allows the network to seek optimal values for time-delays as well as optimal synapse weights.

关键词： Neural networks Robot vision robots computer vision technology Image segmentation Machine vision Signal processing Adaptive optics Analytical research Network architectures

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Review of automated visual inspection 1983 to 1993 Part II: Approaches to intelligent systems 12

Review of automated visual inspection 1983 to 1993 Part II: ...

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intelligent robots and computer vision xii: algorithms and techniques 1993

作者： Bayro-Corrochano, Eduardo Intelligent Systems Research Laboratory School of Electrical Electronics and Systems Engineering University of Wales College of Cardiff P.O. Box 904 CardiffCF13YH United Kingdom

This review represents an extensive and systematicsurvey ofthe tatc ofthe art ofautomated viua1 inspection. This review is divided in two parts: Pazi I involves convethonal methods and Part LI consids approachez to intelligent;ysteins. This complementazy pnpez considers advanced computer vision algorithms for inspection, expezt systems fuzzy 1ogic neural networks and divexse indusfrial applications using intelligent approaches. Finally, son problems and frenb in current rese&th al-c indicated. and possible areas for future investigation &e suggeste4 on the basis of the surveyed literature. © 1993 SPIE.

关键词： Inspection

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SENSOR FUSION OF 2-D AND 3-D DATA FOR THE PROCESSING OF IMAGES OF DENTAL IMPRINTS 12

SENSOR FUSION OF 2-D AND 3-D DATA FOR THE PROCESSING OF IMAG...

引用

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

作者： METHOT, F MOKHTARI, M LAURENDEAU, D POUSSART, D UNIV LAVAL DEPT ELECT ENGNCOMP VIS & DIGITAL SYST LABQUEBEC CITY G1K 7P4QUEBECCANADA

ISBN: (纸本)0819413208

This paper presents a computer vision system for the acquisition and processing of 3-D images of wax dental imprints. The ultimate goal of the system is to measure a set of 10 orthodontic parameters that will be fed to an expert system for automatic diagnosis of occlusion problems. An approach for the acquisition of range images of both sides of the imprint is presented. Range is obtained from a shape-from-absorption technique applied to a pair of grey-level images obtained at two different wavelengths. The accuracy of the range values is improved using sensor fusion between the initial range image and a reflectance image from the pair of grey-level images. The improved range image is segmented in order to find the interstices between teeth and, following further processing, the type of each tooth on the profile. Once each tooth has been identified, its accurate location on the imprint is found using a region- growing approach and its shape is reconstructed with third degree polynomial functions. The reconstructed shape will be later used by the system to find specific features that are needed to estimate the orthodontic parameters.

关键词： Image fusion Teeth Reflectivity 3D image processing Image processing 3D acquisition computer vision technology Machine vision Optical spheres Sensor fusion

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DETECTING SURFACE BOUNDARIES ON SIMPLE OBJECTS IN AN AUTONOMOUS 3D MACHINE vision SYSTEM 12

DETECTING SURFACE BOUNDARIES ON SIMPLE OBJECTS IN AN AUTONOM...

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12TH CONF ON intelligent robots AND computer vision : ACTIVE vision AND 3D METHODS

作者： MCGARRITY, C DALGLISH, RL RESTREPO, J Univ. of Kent (United Kingdom) Univ. of New South Wales (Australia)

ISBN: (纸本)0819413216

This paper describes some of the first analytic work performed on data collected by an autonomous 3D machine vision system. The system, which is described in detail elsewhere and briefly described here, uses fast, dedicated hardware to generate a visible surface mapping directly into a memory array that can be accessed from a host computer. The techniques described here have shown some success in the separation of individual surfaces in multi- surface objects and a range of results are presented.

关键词： Image segmentation 3D vision Machine vision computer vision technology Robot vision robots Cameras Computing systems Imaging systems CCD cameras

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INFORMED EDGE LINKING USING A DIRECTIONAL POTENTIAL FUNCTION 12

INFORMED EDGE LINKING USING A DIRECTIONAL POTENTIAL FUNCTION

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

作者： RIORDAN, V ZHU, QM UNIV NEBRASKA DIGITAL IMAGING & COMP VIS LABOMAHANE 68182

ISBN: (纸本)0819413208

Low level edge detection operators usually do not generate contiguous edges, leaving objects in images with discontinuous borders. This, coupled with inherent signal noises, makes it difficult to identify objects in images. Here we describe a new algorithm that connects disjoint edge pixels to form continual object boundaries. We model the edge images as potential fields deployed with energies at the edge pixel positions all over the images. Pixels at the edge disjoint positions are charged by the combining forces of these edge pixels in proportion to the relative distances and directions of these pixels. An intrinsic part of the process is the identification of terminal edge pixels (TEP), accompanying with a classification of edge pixels in terms of the pixel connection patterns, to provide critical information for possible connectivity of edge segments. The algorithm applies a potential evaluation function to measure the likelihood of edge linking in certain directions for given TEPs. To reduce the computational overhead and improve the efficiency of the algorithm, an informed search method is used to locate significant edge pixels that present the most strong linking forces to a given TEP. The potential value for the TEP is calculated with respect to the edge directions dominated by the linking forces. When the potential value exceeds a given threshold in a direction, an extension is made at the TEP position in that direction. The process iterates until desired results are attained, using a global edge pattern evaluation scheme.

关键词： Image processing Robot vision Edge detection computer vision technology Machine vision Image analysis Image classification Image segmentation Interference (communication) Object recognition

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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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A FAST, CHEAP, AND EASY SYSTEM FOR OUTSIDE vision ON MARS 12

A FAST, CHEAP, AND EASY SYSTEM FOR OUTSIDE VISION ON MARS

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

作者： GAVIN, AS YAMAMOTO, M MIT DEPT ELECT ENGN & COMP SCIARTIFICIAL INTELLIGENCE LABCAMBRIDGEMA 02139

ISBN: (纸本)0819413208

In the design and construction of mobile robots vision has always been one of the most potentially useful sensory systems. In practice however, it has also become the most difficult to successfully implement. At the MIT Mobile Robotics (Mobot) Lab we have designed a small, light, cheap, and low power Mobot vision System that can be used to guide a mobile robot in a constrained environment. The target environment is the surface of Mars, although we believe the system should be applicable to other conditions as well. It is our belief that the constraints of the Maitian environment will allow the implementation of a system that provides vision based guidance to a small mobile rover. The purpose of this vision system is to process realtime visual input and provide as output information about the relative location of safe and unsafe areas for the robot to go. It might additionally provide some tracking of a small number of interesting feature, for example the lander. The system is designed t.o be self contained. It has its own camera and on board processing unit. It draws a small amount of power and exchanges a very small amount of information with the host robot. The project has two parts, first the construction of a hardware platform, and second the implementation of a successful vision algorithm. For the first part of the project, which is nearly complete, we have built a small self contained vision system. It employs a cheap but fast general purpose microcontroller (a 68332) connected to a Charge Coupled Device (CCD). The CCD provides the CPU with a continuous series of medium resolution gray-scale images (64 by 48 pixels with 256 gray levels at 10-15 frames a second). In order to accommodate our goals of low power, light weight, and small size we are bypassing the traditional NTSC video and using a purely digital solution. As the frames are captured any desired algorithm can then be implemented on the microcontroller to extract the desired information from the image

关键词： Charge coupled devices

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UNCONSTRAINED SHAPE FROM SHADING 12

UNCONSTRAINED SHAPE FROM SHADING

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12TH CONF ON intelligent robots AND computer vision : ACTIVE vision AND 3D METHODS

作者： LEE, KM KUO, CCJ Univ. of Southern California (United States)

ISBN: (纸本)0819413216

Most conventional SFS (shape from shading) algorithms have been developed under three basic assumptions about surface properties and imaging geometry to simplify the problem. They are the Lambertian surface property, the orthographic projection, and the distant single light source. However, since these assumptions are not appropriate for many real applications, apparent distortions of reconstructed surfaces occur with conventional SFS algorithms. To obtain a more practically useful and accurate SFS algorithm, it is necessary to relax these restrictive assumptions and adopt more general conditions or models about the imaging process. In this research, we propose a new direct shape recovery algorithm from one or multiple shaded images generated by a general reflectance model which includes diffuse and specular effects, perspective projection, and a nearby point light source. The basic idea of our approach is to use a finite triangular surface model and express the image irradiance in terms of surface nodal depth variables through a linearized reflectance map under the perspective projection model. The object shape is recovered by determining all nodal depth variable through a cost minimization process.

关键词： Reflectivity Light sources computer vision technology Machine vision Image processing Robot vision robots Algorithm development Image acquisition Reconstruction algorithms

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THE TECHNOLOGY OF IMAGE-PROCESSING FOR AIR VEHICLE AND ITS PROPERTY RESEARCH 12

THE TECHNOLOGY OF IMAGE-PROCESSING FOR AIR VEHICLE AND ITS P...

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12TH CONF ON intelligent robots AND computer vision : ACTIVE vision AND 3D METHODS

作者： XIONG, YG WANG, DZ Test and Measurement Centre Nanjing Aeronautical Institute Nanjing 210016 China

ISBN: (纸本)0819413216

In this paper.' a technique of image processing for air vehieie and sethod of property of researching air vehicle using thts technique is presented at first time. In this method, the original data are obstained using several photographs of air vehicle and the three dimensional coordinates of air vehicle configuration are solved. After interpolating and surface smoothing the grid drawing of air vehicle is made. The 3D image of air Vehicle configuration is reconstructed using image processing techniques for this grid drawing. According to this 3D images the wing area of air vehicle and other parameters are calculated, so the air dynamic property and flying property are researched. It is expressed through actual application for an aircraft that the air vehicle configuration can be obtained precisely using the method presented in this papers so avery difficult problem is solved in this field. The air dynamic property and flying property can be studied efficiently. This method has very important significant for air vehicle information collecting and studying and decision making. The techniques of image processing for air vehicle and the method of its property researching presented in this paper is very usefult for aeronautics and astronautics, applying Image processing intelligent system and computer vision system. © 1993 SPIE.

关键词： intelligent systems

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ROBUST DEPTH EXTRACTION FOR MOBILE robots 12

ROBUST DEPTH EXTRACTION FOR MOBILE ROBOTS

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12TH CONF ON intelligent robots AND computer vision : ACTIVE vision AND 3D METHODS

作者： NAGLE, MG SRINIVASAN, MV SOBEY, PJ Australian National Univ. (Australia)

ISBN: (纸本)0819413216

Stereoscopic techniques for recovering depth in scenes are computationally intensive and difficult to specify sufficiently well to ensure that optimal solutions are obtained in any given situation. Apparent motion cues are a far richer and more easily exploitable source of information on depth, but computing depth from motion in spatio-temporal image sequences has many pit-falls associated with it. We show that many of these can be avoided by simultaneous capture of two or more views of the scene, projected onto a single CCD sensor, using angled mirrors. The resulting fixed-camera ranging device is immune to camera vibration and motion as well as to changes in ambient illumination that occur during image capture. A 1-D, generalized gradient scheme is used to compute the apparent image motion induced by objects in the scene and hence the range to the corresponding objects. Furthermore, the fixed camera configuration enables the shape and size of the viewing filter to be preselected to optimize performance and maximize range resolution.

关键词： Cameras robots Optical filters Spatial filters Image filtering Motion measurement computer vision technology Machine vision Robot vision CCD image sensors

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