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检索条件"任意字段=Proceedings of the Workshop on Physics-Based Modeling in Computer Vision"

共 521 条记录，以下是481-490 订阅

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CBCV: a CAD-based computer vision system

CBCV: a CAD-based computer vision system

引用

workshop on Directions in Automated CAD-based vision

作者： T.C. Henderson J. Evans L. Grayston A. Sanderson L. Stoller E. Weitz Department of Computer Science University of Utah Salt Lake UT USA

The CBCV system has been developed in order to provide the capability of automatically synthesizing executable vision modules for various functions like object recognition, pose determination, quality inspection, etc. A wide range of tools exist for both 2D and 3D vision, including not only software capabilities for various vision algorithms, but also a high-level frame-based system for describing knowledge about applications and the techniques for solving particular problems.< >

关键词： computer vision Design automation computer aided manufacturing Application software Algorithm design and analysis Solid modeling Machine vision Robotics and automation Robotic assembly computer science

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CAD based inspection: using a vision cell demonstrator

CAD based inspection: using a vision cell demonstrator

引用

workshop on Directions in Automated CAD-based vision

作者： G.A.W. West T. Fernando P.M. Dew School of Computing Science Curtin University of Technology Perth Australia University School of Computer Studies Leeds UK

The paper addresses issues in developing an automated visual inspection system. To achieve a truly flexible automated visual inspection system, the interface between the vision system and the CAD system is an important factor. Although both vision and CAD systems rely on models of objects, these two fields remain rather disjoint in data representation. An interface which bridges the gap between these two systems is discussed. The way in which this interface is used by the vision system to carry out the object recognition and the inspection on the part is also discussed. An example of CAD guided inspection is described for a simple 2.5D object.< >

关键词： Inspection Machine vision Solid modeling Geometry Engines Design automation Bridges Object recognition computer aided manufacturing Production facilities

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Computing stable poses of piecewise smooth objects

Computing stable poses of piecewise smooth objects

引用

workshop on Directions in Automated CAD-based vision

作者： D.J. Kriegman Center for Systems Science Department of Electrical Engineering Yale University New Heaven CT USA

When a three dimensional object is known to be lying on a planar surface, its pose is restricted from six to three degrees of freedom. computer vision algorithms can exploit the few stable poses of modelled objects to simplify scene interpretation and more accurately determine object location. The paper presents necessary and sufficient conditions for the pose of a piecewise smooth curved three dimensional object to be stable. For objects whose surfaces are represented by implicit algebraic equations, these conditions can be expressed as systems of polynomial equations that are readily solved by homotopy continuation. Examples from the implemented algorithm are presented.< >

关键词： Layout Equations Computational geometry Solid modeling Potential energy Cameras computer vision Sufficient conditions Polynomials Prototypes

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Model based recognition of specular objects using sensor models

Model based recognition of specular objects using sensor mod...

引用

workshop on Directions in Automated CAD-based vision

作者： K. Sato K. Ikeuchi T. Kanade Osaka Univ. Toyonaka Japan The Robotics Institute Carnegie Mellon University Pittsburgh PA USA

The authors present a model-based object recognition system for specular objects. Objects with specular surfaces present a problem for computer vision. Simulating object appearances by using the sensor model, and the object model allows us to predict specular features, and to analyze the detectability and reliability of each feature. The system generates a set of aspects of the object. By precompiling the aspects with the feature detectability and the feature reliability, the system prepares adaptable matching templates. At the runtime, an input image is first classified into a few candidate aspects. A deformable template matching finds the best match among them. This method is applicable to multiple objects simply by changing object and sensor models. Experimental results using two kinds of objects and sensors are presented: a TV image of a shiny object and a synthetic aperture radar (SAR) image of an airplane. The results show the flexibility of the proposed model based approach.< >

关键词： computer vision Predictive models Object recognition Computational modeling Analytical models Sensor phenomena and characterization Object detection Runtime Image sensors TV

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Context-constrained matching of hierarchical CAD-based models for outdoor scene interpretation

Context-constrained matching of hierarchical CAD-based model...

引用

workshop on Directions in Automated CAD-based vision

作者： K. Kadono M. Asafa Y. Shitai Mech. Engineering for Computer-Controlled Machinery Osaka University Osaka Japan Mech. Eng. for Comput. Controlled Machinery Osaka Univ. Japan

The authors propose a method for outdoor scene interpretation which recognizes many kinds of objects in the scene, and determines their geometric structures using context information of objects in the scene and flexible matching of hierarchical CAD-based models. The system can deal with outdoor scenes with artificial objects which may have various shapes and sizes, and natural objects for which there are no CAD-based models. The system uses the intermediate results of the scene interpretation as context information to prune the candidate object classes, their positions and orientations, and uses hierarchical CAD models so that higher models may be able to represent one object class such as a house, with several variations by allowing changes of dimensions. The input scene is segmented into a ground plane and objects on it using the multisensory information such as video and range images, and planar surface patches are extracted from the segmented regions. Flexible matching between the scene descriptions and the hierarchical CAD models is performed.< >

关键词： Context modeling Layout Solid modeling Shape Machine vision Roads Image segmentation Object recognition Machinery Text recognition

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Robust estimation of a multi-layered motion representation

Robust estimation of a multi-layered motion representation

引用

workshop on Visual Motion

作者： T. Darrell A. Pentland Vision and Modeling Group The Media Lab Massachusetts Institute of Technology Cambridge MA USA

In order to recover an accurate representation of a scene containing multiple moving objects, one must use estimation methods that can recover both model parameters and segmentation at the same time. Traditional approaches to this problem rely on an edge-based discontinuity model, and have problems with transparent phenomena. The authors introduce a layered model of scene segmentation based on explicitly representing the support of a homogeneous region. The model employs parallel robust estimation techniques, and uses a minimal-covering optimization to estimate the number of objects in the scene. Using a simple direct motion model of translating objects, they successfully segment real image sequences containing multiple motions.< >

关键词： Robustness Motion estimation Layout Smoothing methods Image segmentation Humans Image sequences computer vision Machine vision Coherence

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Non-rigid motion and structure from contour

Non-rigid motion and structure from contour

引用

workshop on Visual Motion

作者： A. Pentland B. Horowitz S. Sclaroff Vision and Modeling Group Media Laboratory MIT Cambridge MA USA

The elastic properties of real materials constrain the types of non-rigid motion that can occur. The authors show that by modeling and simulating the physics of non-rigid motion they can obtain good estimates of both object shape and velocity from contour data. The underlying model is based on the finite element method, and decouples the degrees of freedom by breaking down object motion into rigid and non-rigid vibration modes. Shape estimates are integrated over time by use of an extended Kalman filter, resulting in a stable estimate of both 3D shape and 3D velocity. Examples using X-ray imagery (of the heat) are presented.< >

关键词： Shape Finite element methods Motion analysis Fourier transforms physics X-ray imaging Marine animals Leg Muscles Neck

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Implementation of geometric hashing on the Connection Machine

Implementation of geometric hashing on the Connection Machin...

引用

workshop on Directions in Automated CAD-based vision

作者： I. Rigoutsos R. Hummel Courant Institute of Mathematical Sciences New York University New York NY USA Courant Institute of Mathematical Sciences & The Center for Neural Science New York University New York NY USA

The authors report on a scalable implementation of geometric hashing on the Connection Machine. Using this implementation, it is possible to recognize models consisting of patterns of points embedded in scenes, independent of translation, rotation, and scale changes. With 1024 models and a scene of 200 points, the implementation yields an execution time of 70 milliseconds for recognition of the one embedded model given a two-point basis set (consisting of a pair of points in the model) on a 64 K-processor CM-2 parallel computer. The algorithm is scalable, yielding an expected execution time that is O(log/sup 2/ M+log S log M) on a Mn/sup 3/-processor hypercube-connected SIMD machine such as the Connection Machine; M is the number of models, n is the number of points per model, S is the number of scene points, and it is assumed that execution proceeds until the first model is discovered.< >

关键词： Layout Solid modeling Data structures Pattern recognition Machine vision Computational efficiency Parallel processing Telephony Network servers Digital images

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World model representation based on planar patch from range and video images

World model representation based on planar patch from range ...

引用

proceedings IROS '91:IEEE/RSJ International workshop on Intelligent Robots and Systems '91

作者： Y. Taniguchi M. Asada Y. Shirai Mechanical Engineering of Computer-Controlled Machinery Osaka University Suita Osaka Japan

Presents an approach to build a world model representation based on planar surfaces from range and video images. The method consists of three sub-processes: (1) to extract the primal surface patches from range and video images; (2) to define the directional uncertainty for the extracted surface patch; and (3) to match the model surfaces of the object expected in the scene with the extracted surface patches using the defined directional uncertainty, model constraints, and a certainty measure of matching, which is defined by directional uncertainty. The preliminary results applied to road scenes are shown.< >

关键词： Layout Image segmentation Solid modeling Roads Object recognition Machinery computer vision Marine vehicles Sensor phenomena and characterization Shape

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Neural network approach to path planning for two dimensional robot motion

Neural network approach to path planning for two dimensional...

引用

proceedings IROS '91:IEEE/RSJ International workshop on Intelligent Robots and Systems '91

作者： C. Kozakiewicz M. Ejiri Mechanical Engineering Research Laboratory Hitachi and Limited Tsuchiura Ibaraki Japan

A method for robot obstacle avoidance and path planning is proposed. The algorithm is based on a camera image feedback loop utilizing a neural network for image processing. The method can successfully generate collision-free paths in a 2D robot workspace containing randomly-placed polygonal obstacles. The control algorithm is simple and robust and has low computational requirements. Controller simulation implemented on a personal computer can generate collision-free robot paths in real time, requiring approximately 1 sec. per robot move.< >

关键词： Neural networks Path planning Robot vision systems Cameras Feedback loop Image processing Robust control Computational modeling computer simulation Microcomputers

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