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检索条件"任意字段=Intelligent Robots and Computer Vision XI: Biological, Neural Net, and 3-D Methods"

共 113 条记录，以下是61-70 订阅

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SPECTRAL IMAGING BY OPTICAL COMPUTING 10

SPECTRAL IMAGING BY OPTICAL COMPUTING

引用

CONF ON intelligent robots ANd computer vision 10 : neural, biological, and 3-d methods

作者： HALLIKAINEN, J PARKKINEN, J JAASKELAINEN, T Univ. of Kuopio (Finland) Univ. of Joensuu (Finland)

ISBN: (纸本)0819407453

The science of imaging and its applications touch many aspects of physics because the response of materials to light and other forms of radiation yields insights into some of the most fundamental properties of the matter. In this paper we describe and investigate two acousto- optic (AO) implementations for color classification of digital images by optical calculation of vector inner products. The proposed AO implementations may have importance in developed of artificial eyes for machine vision and in quality inspection problems.

关键词： Image processing Imaging systems Acousto-optics Imaging spectroscopy CCd cameras Sensors Image filtering Machine vision Optical filters Tunable filters

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THE ALGORITHMIC ANALYSIS OF 3-d dEPTH INFORMATION FOR dYNAMIC VISUAL IMAGES 10

THE ALGORITHMIC ANALYSIS OF 3-D DEPTH INFORMATION FOR DYNAMI...

引用

CONF ON intelligent robots ANd computer vision 10 : neural, biological, and 3-d methods

作者： WANG, dZ SHENG, dF Test and Measurement Centre Nanjing Aeronautical Institute Nanjing 210016 China

ISBN: (纸本)0819407453

The world is motion. Human visual images are dynamic. From a couple of dynamic images, the outer orientation elements can be obtained. It is absolute orientation. On the basis of that and two images on image frame coordinate, the points of body world coordinate can be seeked out. That is space meet. So that the 3-d depth information are acquired. The current presentation will discrible a method which provied outer orientation elements,and two ways acquiring 3-d depth inf ormation. © 1992 SPIE. All rights reserved.

关键词： Optical engineering

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CLUSTERING methods FOR REMOVING OUTLIERS FROM vision-BASEd RANGE ESTIMATES 10

CLUSTERING METHODS FOR REMOVING OUTLIERS FROM VISION-BASED R...

引用

CONF ON intelligent robots ANd computer vision 10 : neural, biological, and 3-d methods

作者： HUSSIEN, B SUORSA, R NASA/Ames Research Ctr. (United States)

ISBN: (纸本)0819407453

The automation of rotorcraft low-altitude flight presents challenging problems in flight control and sensor systems. The currently explored approach uses one or more passive sensors, such as a television camera, to extract environmental obstacle information. Obstacle imagery can be processed using a variety of computer vision techniques to produce a time-varying map of range to obstacles in the sensor's field of view along the helicopter flight path. To maneuver in tight space, obstacle-avoidance methods would need very reliable range map information by which to guide the helicopter through the environment. In general, most low level computer vision techniques generate sparse range maps which include at least a small percentage of bad estimates (outliers). This paper examines two related techniques which can be used to eliminate outliers from a sparse range map. Each method clusters sparse range map information into different spatial classes relying on a segmented and labeled image to help in spatial classification within the image plane.

关键词： Image segmentation Fuzzy logic computer vision technology Machine vision Image processing Image processing algorithms and systems robots Robot vision Algorithms Annealing

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MOdEL-BASEd EdGE POSITION ANd ORIENTATION MEASUREMENT USING neural netWORKS 10

MODEL-BASED EDGE POSITION AND ORIENTATION MEASUREMENT USING ...

引用

CONF ON intelligent robots ANd computer vision 10 : neural, biological, and 3-d methods

作者： NARUSE, H TATEdA, M IdE, A NTT Telecommunication Field Systems (Japan)

ISBN: (纸本)0819407453

This paper proposes a new model fit type edge feature measurement method. In this new method, an accurate edge model, which explains well the practical edge gray level patterns in an actually observed image, is made by considering the point spread function in the image recording process as well as the edge features, that is, edge position and orientation. This method consists of two preparation steps and a measurement step. Step 1: Gray level patterns with various edge features values are generated on an edge pixel and its surrounding pixels based on this model. Step 2: The gray levels are fed, as teaching signals, into error back propagation type neural networks with a 3-layer structure. The mapping parameters used to determine the edge features are obtained from the gray level patterns. Step 3: The edge features are calculated by feeding the gray levels in an observed image into the networks after learning. Experimental results proved that this method can determine edge position and orientation with a high accuracy of 0.07 pixels and 0.8 degree(s), respectively.

关键词： neural networks Point spread functions robots computer vision technology Image processing Machine vision Robot vision Visual process modeling Image acquisition Model-based design

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TOWARd A PYRAMIdAL neural netWORK SYSTEM FOR STEREO FUSION 10

TOWARD A PYRAMIDAL NEURAL NETWORK SYSTEM FOR STEREO FUSION

引用

CONF ON intelligent robots ANd computer vision 10 : neural, biological, and 3-d methods

作者： LEPAGE, R POUSSART, d Univ. Laval (Canada)

ISBN: (纸本)0819407453

A goal of computer vision is the construction of scene descriptions based on information extracted from one or more 2-d images. Stereo is one of the strategies used to recover 3-d information from two images. Intensity edges in the images correspond mostly to characteristic features in the 3-d scene and the stereo module attempt to match corresponding features in the two images. Edge detection makes explicit important information about the two-dimensional image but is scale-dependent: edges are visible only over a range of scales. One needs multiple scale analysis of the input image in order to have a complete description of the edges. We propose a compact pyramidal architecture for image representation at multiple spatial scales. A simple Processing Element (PE) is allocated at each pixel location at each level of the pyramid. A dense network of weighted links between each PE and PEs underneath is programmed to generate the levels of the pyramid. Lateral weighted links within a level compute edge localization and intensity gradient. Feedback between successive levels is used to reinforce and refine the position of true edges. A fusion channel matches the two edge channels to output a disparity map of the observed scene.

关键词： Neurons neural networks Image resolution 3d image processing Edge detection computer vision technology Image fusion Image filtering Machine vision robots

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BUILdING A SURFACE MOdEL OF AN OBJECT USING MULTIPLE RANGE VIEWS 10

BUILDING A SURFACE MODEL OF AN OBJECT USING MULTIPLE RANGE V...

引用

CONF ON intelligent robots ANd computer vision 10 : neural, biological, and 3-d methods

作者： SOUCY, M LAURENdEAU, d Univ. Laval (Canada)

ISBN: (纸本)0819407453

This paper presents a two-step technique to build a non-redundant surface model of an object using information provided by N registered range views. In the first processing step, the redundancy between views (e.g., 3-d information belonging to more than one view) is detected. Range views are considered as sets of 3-d points. The redundancy between the views is modeled by the Venn diagram of the N sets. Using the Venn diagram, the second processing step yields a non-redundant surface model of the object. A mesh of 3-d triangles defined in an object-centered reference frame describes the surface information present in the N range views. The proposed view integration technique is independent of the number of 3-d views and does not impose orthogonallity between them.

关键词： Image segmentation 3d modeling Robot vision Integrated modeling Visual process modeling computer vision technology Machine vision 3d vision Optical spheres Sensors

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A MOdEL FOR SPATIAL ANd CHROMATIC vision 10

A MODEL FOR SPATIAL AND CHROMATIC VISION

引用

CONF ON intelligent robots ANd computer vision 10 : neural, biological, and 3-d methods

作者： PARKKINEN, J CUPTA, MM KNOPF, G HALLIKAINEN, J JAASKELAINEN, T Dept. of Computer Science and Applied Mathematics University of Kuopio Finland Dept. of Applied Physics University of Kuopio Finland University of Saskatshewan College of Engineering ISRL Saskatoon SK Canada University of Joensuu Dept. of Physics Joensuu Finland

ISBN: (纸本)0819407453

An artificial vision system with spatio-chromatic channels is proposed. A dynamic neural network is used for the spatial and chromatic information of a scene. The spatio-chromatic information is transmitted into two channels for processing. This segregation allows accurate spatial and chromatic analysis of the visual input. For both channels, models based on the biology of the visual system are used. Spatial channel responses simulate e.g. enhanced edges and subjective contours. Chromatic channel output is shown to correspond to the color characteristics found in the spectral color tests and in the literature of the physiology of color vision. The ultimate gool of the project is to find biologically motivated model for an intelligent image sensor. In this report we describe potential candidates for both, spatial and chromatic information. © 1992 SPIE. All rights reserved.

关键词： Color vision

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A NON-RECONSTRUCTION APPROACH FOR ROAd FOLLOWING 10

A NON-RECONSTRUCTION APPROACH FOR ROAD FOLLOWING

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CONF ON intelligent robots ANd computer vision 10 : neural, biological, and 3-d methods

作者： RAVIV, d HERMAN, M Robotics Center and Electrical Engineering Department Florida Atlantic University Boca Raton 33431 FL United States Sensory Intelligence Group Robot Systems Division National Institute of Standards and Technology Gaithersburg 20899 MD United States

ISBN: (纸本)0819407453

This paper presents a new approach for vision-based autonomous road following. By building on a recently developed optical-flow-based theory, we suggest that motion commands can be generated directly from a visual feature, or cue, consisting of the projection into the image of the tangent point on the edge of the road, along with the optical flow of this point. Using this visual cue, there is no need to reconstruct the 3-d scene, and the related computations are relatively simple. We suggest some vision-based partial control algorithms for both circular and non-circular roads. © 1992 SPIE. All rights reserved.

关键词： Optical flows

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Line matching in stereo vision 10

Line matching in stereo vision

引用

intelligent robots and computer vision X: neural, biological, and 3-d methods 1991

作者： Coldwell, Charles E. Fitzer, Jack University of Texas at Arlington Department of Electrical Engineering ArlingtonTX76019 United States

The problem of reconstructing real-world positions of three-dimensional objects from stereo views has proved very difficult, because the problem is inherently underdetermined. By reducing the problem to a one-line problem, and using precision image acquisition hardware, range information may be obtained with relatively simple correlation calculations. © 1992 SPIE. All rights reserved.

关键词： Stereo vision

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SCENE dESCRIPTION - INTERACTIVE COMPUTATION OF STABILITY WITH FRICTION 10

SCENE DESCRIPTION - INTERACTIVE COMPUTATION OF STABILITY WIT...

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CONF ON intelligent robots ANd computer vision 10 : neural, biological, and 3-d methods

作者： dECURTINS, J MULGAONKAR, P SRI International (United States)

ISBN: (纸本)0819407453

This paper describes a technique for hypothesizing the shape of hidden portions of unknown objects within a pile of such objects, using a dense range image of the pile. The technique employs symmetry, stability, viewpoint independence, and object impenetrability to hypothesize the unknown shape and dimension of each visible object. The process constructs alternative hypotheses, which differ in the way the visible portions of objects are extended into the occluded regions within the scene. To ensure that each interpretation is consistent with the observed range data, the known geometry of the range sensor is used in forming the hypotheses. The final result is one or more hypothesized object configurations, each of which is consistent with both the sensed range data and the physical constraints between objects in contact. For each resulting hypothesis, a free-body analysis is performed to determine if the hypothesized configuration is stable. The hypothesis with the highest stability rating is chosen as the most likely correct interpretation.

关键词： Sensors computer vision technology Image sensors Machine vision Robot vision robots Cameras Image segmentation 3d modeling Light sources

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