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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： X. Zhang P. Burlina Q. Zheng R. Chellappa Computer Vision Laboratory and Department of Electrical Engineering University of Maryland College Park USA

image-to-site model registration is critical to model supported exploitation of aerial and satellite imagery. This paper presents a fully-automatic registration method. This method uses a multi-resolution image-to-image registration process assuming both affine and projective transformations to determine and refine the locations of 3D control points in the new image. Camera resection is subsequently accomplished. Registration results obtained on real imagery show good performance.

关键词： Cameras computer vision Context modeling Laboratories image resolution Educational institutions Satellites Multiresolution analysis Focusing Robustness

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Equivariance and invariance-an approach based on Lie groups

Equivariance and invariance-an approach based on Lie groups

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IEEE International Conference on image Processing

作者： K. Nordberg G. Granlund Computer Vision Laboratory Department of Electrical Engineering Linköping University Linkoping Sweden

The paper discusses the concepts of invariance and equivariance in the context of continuous operator groups, or Lie groups, acting on both the image and a descriptor of some image feature. The theory is illustrated by an example of how a 3D image neighbourhood that contains a linear structure can be mapped to a tensor that represents the orientation of the structure. A second order tensor is defined which represents both local orientation and local phase in a continuous way, the phase is given by the relation between the symmetric and anti-symmetric part of this tensor. By computing a tensor inner product of the tensor, a phase invariant orientations representation is obtained.

关键词： Tensile stress computer vision Laboratories Vectors Ear

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Inductive learning in hand pose recognition

Inductive learning in hand pose recognition

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International Conference on Automatic Face and Gesture Recognition

作者： F.K.H. Quek M. Zhao Vision Interfaces and Systems Laboratory (VISLab) Electrical Engineering and Computer Science Department University of Illinois Chicago Chicago IL USA

Hand pose recognition for gestural systems must be able to handle variations in user hand anatomy, perspective effects, and the idiosyncrasies of individual gesture presentation. We present an inductive learning system that is able to derive a rulebase of disjunctive normal form formulae in which each DNF describes a hand pose, and each conjunct within the DNF constitutes a single rule. The system applies a suite of feature detectors during learning and is able to determine a salient subset of features for a given set of hand poses. Only the reduced feature set needs to be computed at recognition time. The rule-based induction system is capable of both exact and flexible matching. The latter produces a list of hand poses ordered by goodness of match when presented with a new hand pose image. We present the results of our experiments in which we trained our system with 931 instances of 20 different hand poses. Our system produced compact rule sets and had a recognition rate of 94%.

关键词： Anatomy image recognition Hidden Markov models Vocabulary Machine vision Laboratories Learning systems computer vision Detectors Humans

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A system for vehicle classification from range imagery

A system for vehicle classification from range imagery

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Southeastern Symposium on System Theory

作者： Shiquan Peng C.A. Harlow Department of Electrical and Computer Engineering and Remote Sensing and Image Processing Laboratory Louisiana State University Baton Rouge LA USA

ISBN: (纸本)0818673524

In this project we consider automated vehicle location and classification systems. Current systems which utilize loop detectors or video cameras have deficiencies. Video based systems are sensitive to environmental conditions and do not perform well in vehicle classification. The new generation of range or distance sensors that are being developed offer the promise of sensors which are not sensitive to lighting conditions and provide information which should give better vehicle detection and classification percentages than current systems. The focus of this project is to develop an automated vehicle location and classification system based upon imagery obtained from range sensors. image analysis operators and classification methods are developed for vehicle classification. Preliminary results indicate that accurate vehicle classification can be obtained.

关键词： Vehicle detection Radar detection Sensor systems Costs Infrared detectors Laser radar image processing Road transportation Machine vision Surveillance

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A Polarization Contrast Retina Using Patterned Iodine-doped PVA Film

A Polarization Contrast Retina Using Patterned Iodine-doped ...

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European Conference on Solid-State Circuits (ESSCIRC)

作者： Zaven Kalayjian Andreas G Andreou Larry Wolff Norman Sheppard Sensory Communication Laboratory Department of Electrical and Coputer Engineering Johns Hopkins University Baltimore MD USA Computer Vision Laboratory Department of Computer Science Johns Hopkins University Baltimore MD USA Department of Biomedical Engineering Johns Hopkins University Baltimore MD USA

Many insect species and some animals can sense light polarization in their environment, but humans are blind to this property of light. In this paper, we present a one-dimensional polarization imager as an example of a polarization retina, and we describe recent advances in developing a high resolution, integrated, two dimensional polarization retina. We discuss how iodine-doped poly(vinyl alcohol) linear polarizers can be processed using standard microfabrication lithographic techniques to delineate features with resolution comparable to pixel sizes of standard imagers.

关键词： Retina Optical polarization Circuits Filters Photodiodes Humans image resolution computer vision Cameras Analog computers

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Thresholding methods considering the quantization error of an image

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SYSTEMS AND computerS IN JAPAN 1996年第9期27卷 63-71页

作者： Sekita, I Kurita, T Otsu, N Abdelmalek, NN Electrotechnical Laboratory Tsukuba Japan 305 Ottawa Ontario Canada Nabih Nessim Abdelmalek:received his B.S. degree in Electrical Engineering in 1951 and his B.S. degree in Mathematics in 1954 both from Cairo University Egypt and his Ph.D. degree in Theoretical Nuclear Physics in 1958 from Manchester University U.K. After 7 years in the Department of Mathematics on the Faculty of Engineering Cairo University he moved to Canada and became a member of the scientific staff at Bell Northern Research in Ottawa. After a period of 2 years he joined the National Research Council of Canada in Ottawa. His current interest is the application of numerical analysis techniques to the problem of image processing particularly image enhancement and restoration data compression pattern classification parameter estimation and 3D robot vision.

Thresholding techniques are fundamental for region segmentation of a gray level image. It is often realistic to assume that gray pixel levels are subject to a mixture of normal distributions. This paper points out problems caused by the underestimation of variances from a frequency distribution and solves the problems by transforming a frequency distribution into a piecewise-continuous distribution based on the maximum entropy criterion. This transformation improves conventional thresholding techniques. Experimental results showed the effectiveness of the transformation.

关键词： threshold quantization mixture of normal distributions frequency distribution histogram

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Visibility analysis on a massively data-parallel computer

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Concurrency and Computation: Practice and Experience 1996年第6期8卷

作者： Daniel Germain Denis Laurendeau Guy Vézina Computer Vision and Systems Laboratory Electrical Engineering Department Université Laval Ste-Foy Québec Canada G1K 7P4 Command and Control and Information Sytems Division Defence Research Establishment Valcartier PO Box 8800 Courcelette Québec Canada G0A 1R0

Visibility analysis algorithms use digital elevation models (DEMs), which represent terrain topography, to determine visibility at each point on the terrain from a given location in space. This analysis can be computationally very demanding, particularly when manipulating high resolution DEMs accurately at interactive response rates. Massively data-parallel computers offer high computing capabilities and are very well-suited to handling and processing large regular spatial data structures. In the paper, the authors present a new scanline-based data-parallel algorithm for visibility analysis. Results from an implementation onto a MasPar massively data-parallel SIMD computer are also presented.

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AUTOMATIC TARGET SCORING SYSTEM USING MACHINE vision

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MACHINE vision AND APPLICATIONS 1995年第1期8卷 20-30页

作者： MOBASSERI, BG Computer Vision Laboratory Department of Electrical and Computer Engineering Villanova University Villanova USA

This paper reports on the development of a machine vision system for assessing targeting accuracy of ballistic, projectile-firing, weapon systems. The machine vision system developed here can monitor the target continuously, report precise quantitative targeting information, and simultaneously provide a color-coded display of impacts. The only other automated target scoring system on the market today is based on the analysis of acoustic signatures of projectiles using a heavily instrumented target. The proposed vision-based technique, in contrast, is inherently passive, requiring little or no modification of the existing set up.

关键词： TARGET SCORING MACHINE vision BALLISTIC PROJECTILES CIRCLE DETECTION IMPACT DETECTION MOTION COMPENSATION OVERLAPPING IMPACTS

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Texture segmentation using hierarchical wavelet decomposition

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PATTERN RECOGNITION 1995年第12期28卷 1819-1824页

作者： Salari, E Ling, Z Computer Vision and Image Processing Laboratory Department of Electrical Engineering University of Toledo Toledo OH 43606 U.S.A.

This paper presents a texture segmentation algorithm based on a hierarchical wavelet decomposition. Using Daubechies' four-tap filter, an original image is decomposed into three detail images and one approximate image. The decomposition can be recursively applied to the approximate image to generate a lower resolution of the pyramid. The segmentation starts at the lowest resolution using the K-means clustering scheme and textural features obtained from various sub-bands. The result of segmentation is propagated through the pyramid to a higher resolution with continuously improving the segmentation. The lower resolution levels help to build the contour of the segmented texture, while higher levels refine the process, and correct possible errors.

关键词： Texture segmentation Wavelet transform Clustering algorithm Multiresolution segmentation

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RESIDUAL UNCERTAINTY IN 3-DIMENSIONAL RECONSTRUCTION USING 2-PLANES CALIBRATION AND STEREO METHODS

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PATTERN RECOGNITION 1995年第7期28卷 1073-1082页

作者： THAYER, S TRIVEDI, M Electrical and Computer Engineering Department Computer Vision and Robotics Research Laboratory The University of Tennessee Knoxville TN 37996-2100 U.S.A.

A necessary goal in the calibration of any instrument is an indication of how well the particular device performs. In the specific case where a camera system is used in the process of three-dimensional reconstruction or stereopsis, geometric measures of the accuracy, precision, and repeatability of 3-D point measurements give a quantitative evaluation of the success of that algorithm. This paper presents an experimental performance analysis of a traditional calibration algorithm as applied to the problem of three-dimensional vision. The study begins with an analysis of the algorithm in a single camera or monocular system. Monocular analysis concludes with a derivation of error boundaries under different. geometric constraints. Showing how this residual error propagates from the component monocular systems into a three-dimensional reconstruction, a binocular analysis derives the desired performance monitors. The paper concludes with a geometric interpretation of the results.

关键词： STEREOPSIS ACCURACY PRECISION REPEATABILITY MONOCULAR BINOCULAR 2-PLANES CALIBRATION

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