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Generalized Hermite polynomials for image reconstruction from zero crossing contours

引用

IEEE International Conference on image Processing

作者： Y.V. Venkatesh Computer Vision and Artificial Intelligence Laboratory Department of Electrical Engineering Indian Institute of Science Bangalore India

ISBN: (纸本)0818688211

Generalized Hermite polynomials in two variables are employed for the reconstruction of images from a knowledge of their zero crossing contours. The problem of reconstruction of signals as functions of two variables is not a mere extension of that of a single variable. This is a consequence of the fact that the spatial and spectral characteristics of two-variable functions are quite distinct from what one can expect from their separate projections on to the coordinate axes. One of the results of the paper is that we cannot guarantee uniqueness in reconstruction unless we impose certain constraints on, for instance, space-bandwidth products/ratios in the x/spl omega//sub x/, y/spl omega//sub y/ directions, of the unknown image. Further, a distinguishing feature of the proposed approach is that the standard assumption of bandlimitedness is not invoked. The proposed framework is believed to provide a more unified procedure for signal reconstruction (of uni- and multi-dimensional signals) from partial information than most of the results of the literature. For lack of space, only the main analytical and computational results are presented.

关键词： Polynomials image reconstruction Filtering theory image analysis Signal processing algorithms Geometry computer vision Artificial intelligence Laboratories Signal reconstruction

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Modeling of growth via active contour models

Modeling of growth via active contour models

引用

IEEE Southwest Symposium on image analysis and Interpretation

作者： K.C. Suriamoorthy A.C. Bovik Laboratory for Vision Systems Department of Electrical and Computer Engineering University of Texas Austin Austin TX USA

The authors analyze the growth of biological specimens with the help of Active Contour Models known as Snakes. Conventional shape-change models like optical flow, deformable templates, etc., primarily address rigid and non-rigid deformations which are not in the form of growth. Moreover the above models assume the shape-change between successive frames in an image sequence to be small which is not true in many real-world biomedical image sequences. The Active Contour Model presented here tracks the boundary of an object as it changes shape and can also predict how the object might change shape. The algorithm is an energy minimization technique which tracks the growth of a specimen by attracting a closed piecewise cubic curve to the boundary of the specimen in every image of a sequence. This method computes shape-change especially when it is in the form of growth-better than techniques like optical flow, deformable templates, etc. Unlike conventional shape-change algorithms, the authors' algorithm can be applied iteratively to compute drastic shape-changes also. The authors also propose a parallel framework to facilitate real-time implementation.

关键词： Active contours Biological system modeling Biomedical optical imaging image motion analysis Active shape model Iterative algorithms Deformable models image sequences Predictive models Minimization methods

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A vision system for real-time positioning, navigation, and video mosaicing of sea floor imagery in the application of ROVs/AUVs

A vision system for real-time positioning, navigation, and v...

引用

IEEE Workshop on Applications of computer vision (WACV)

作者： S. Negahdaripour X. Xu A. Khamene Underwater Vision and Imaging Laboratory Electrical and Computer Engineering Department University of Miami Coral Gables FL USA

A vision system has been developed based on the application of a 3D direct motion estimation algorithm to facilitate autonomous or operated-assisted missions of AUVS and ROVs near the ocean floor. The main capabilities of interest are vision-based vehicle positioning, navigation and trajectory following, as well as mosaicking of sea bed images. The system performance in enabling these functions has been demonstrated on a three-thruster surface vehicle that operates in a 6'/spl times/12'/spl times/6' water tank, with the bottom surface set up to simulate a sea floor environment. images from a down-look camera installed on the vehicle are digitized and processed on a Windows NT Dual Pentium-200 to estimate the vehicle's motion, which is transmitted via the serial link to the vehicle control system running on a 386 processor. This information is employed to maintain or move to a desired position, follow a specified trajectory, and to construct in (near) real-time a composite image of the scene surface.

关键词： Machine vision Real time systems Navigation Remotely operated vehicles Sea surface Motion estimation Oceans Floors System performance Marine vehicles

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3-D motion and depth estimation from sea-floor images for mosaic-based station-keeping and navigation of ROVs/AUVs and high-resolution sea-floor mapping

3-D motion and depth estimation from sea-floor images for mo...

引用

Symposium on Autonomous Underwater Vehicle Technology (AUV)

作者： S. Negahdaripour X. Xu A. Khamene Z. Awan Underwater Vision and Imaging Laboratory Electrical and Computer Engineering Department University of Miami Coral Gables FL USA

A vision system has been developed in order to support the autonomous operation or operated-assisted missions of AUV and ROV near the ocean bottom. The sea-floor images, acquired by a down-look camera installed on the vehicle, are processed by the vision system in order to detect and estimate its motion in real time. This information is utilized to realize a number of capabilities, including automatic station keeping, navigation and trajectory following, and the construction of a composite (mosaic) image of the sea floor. We describe the system and provide sample results from various experiments for evaluating performance. We also provide examples from ongoing work, planned for implementation on the real-time vision system.

关键词： Motion estimation Machine vision Remotely operated vehicles Real time systems Oceans Cameras Motion detection Vehicle detection Navigation Sea floor

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Topological dimensionality determination and dimensionality reduction based on minimum spanning trees

Topological dimensionality determination and dimensionality ...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： R. Oten R.J.P. de Figueiredo Laboratory for Machine Intelligence Vision and Neural Computing Department of Electrical and Computer Engineering University of California Irvine USA

In the design of multidimensional systems for the analysis of complex data, an intelligent reduction of the data dimensionality is needed to enable its efficient and accurate processing without much loss of information. The underlying data transformation process can be implemented by nonlinearly mapping the high-dimensional data space onto a low-dimensional feature space where the mapping preserves the topological structure of the transformed data in the feature space as much as possible. This method is often referred to as Multidimensional Scaling (MDS). This paper describes a new MDS approach for feature extraction purposes. It consists of a fast hierachical Minimal-Spanning-Tree-based method which minimizes the Sammon's criteria with a genetic algorithm. Results presented show that this new approach is promising for several applications.

关键词： Multidimensional systems Machine intelligence Extraterrestrial measurements Laboratories computer vision Data engineering Design engineering Poles and towers Buildings Data analysis

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A Family Of Order Statistic Based Dissimilarity Measures And Their Application In image Processing

A Family Of Order Statistic Based Dissimilarity Measures And...

引用

International Conference on Optimization of electrical and Electronic Equipment, OPTIM

作者： C. Vertan V. Buzuloiu R.M. Rangayyan Image Processing and Analysis Laboratory (IPAL) Applied Electronics and Information Engineering DepartmentFaculty of Electronics and Telecommunications Politehnica University Bucharest Romania Department of Electrical and Computer Engineering University of Calgary Calgary AB Canada

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Training environment for inferior vena caval filter placement

Training environment for inferior vena caval filter placemen...

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6th Conferenc on Medicine Meets Virtual Reality, MMVR 1998

作者： Hahn, James K. Kaufman, Roger Winick, Adam B. Carleton, Thurston Park, Youngser Lindeman, Rob Oh, Kwang-Man Ai-Ghreimil, Nadia Walsh, Raymond J. Loew, Murray Gerber, Joanne Sankar, Siddarth Laboratory for Advanced Computer Applications in Medicine Institute for Computer Graphics George Washington University Washington DC 20052 United States Department of Electrical Engineering and Computer Science George Washington University Washington DC 20052 United States Department of Radiology George Washington University Washington DC 20052 United States Department of Civil and Mechanical Engineering George Washington University Washington DC 20052 United States Department of Anatomy and Cell Biology George Washington University Washington DC 20052 United States Institute for Medical Imaging and Image Analysis George Washington University Washington DC 20052 United States

ISBN: (纸本)9051993862

This paper describes a Virtual Environment system designed to aid in training interventional radiologists in inferior vena cava filter placement. It is being developed as part of a VE simulator for a number of surgical and interventional radiology procedures at the laboratory for Advanced computer Applications in Medicine at the George Washington University. In this procedure a filter is placed in the inferior vena cava to prevent blood clots from the lower portion of the body from reaching the lungs and causing a pulmonary embolus. The simulation is designed to provide both tutorial and testing modes for the filter placement procedure.

关键词： Virtual reality

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An interference rejection approach to noise adjusted principal components transform

An interference rejection approach to noise adjusted princip...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Chein-I Chang Qian Du Remote Sensing Signal and Image processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland Baltimore County Baltimore MD USA

ISBN: (纸本)0780344030

A signal-to-noise ratio based PCA approach, called maximum noise fraction (MNF) transformation or noise adjusted principal components (NAPC) transform PCA was previously developed to arrange principal components in decreasing order of image quality rather than data variance as done for PCA. One of major disadvantages of this approach is that the noise covariance matrix must be estimated accurately from the data a priori. Another is that the factor of interference is not taken into account in MNF or NAPC where the effect of interference tends to be more serious than noise in hyperspectral images. In this paper, these two problems are addressed by considering the interference as a separate unwanted signal source from which an interference rejection approach to noise adjusted principal components transform (IRNAPC) can be developed in a similar manner that the NAPC was derived. It is shown that if interference is taken care of properly, IRNAPC significantly improves NAPC. Additionally, interference annihilation also improves the estimation of the noise covariance matrix.

关键词： Signal to noise ratio Covariance matrix Principal component analysis Hyperspectral imaging Multispectral imaging Object detection Interference suppression Remote sensing Signal processing image processing

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Robust feature tracking in underwater video sequences

Robust feature tracking in underwater video sequences

引用

OCEANS

作者： T. Tommasini A. Fusiello V. Roberto E. Trucco Machine Vision Laboratory Dipartimento di Matematica e Informatica Università di Udine IT Italy Computer Vision Group and Ocean Systems Laboratory Department of Computing and Electrical Engineering Heriot-Watt University UK

The paper proposes a robust feature tracker based on an efficient outlier rejection scheme, suitable for feature tracking in subsea video sequences. We extend the Shi-Tomasi-Kanade scheme (C. Tomasi and T. Kanade, 1991; J. Shi and C. Tomasi, 1994) by introducing a technique for rejecting spurious features. We employ a simple and efficient outlier rejection rule, called X84, and prove that its theoretical assumptions are satisfied in the feature tracking scenario. Experiments with synthetic and real subsea sequence confirm that our algorithm locates and discards unreliable features accurately and consistently, and tracks good features reliably over many frames. We also illustrate quantitatively the benefits introduced by the algorithm with the example of fundamental matrix estimation.

关键词： Robustness Underwater tracking Video sequences computer vision image sequences Laboratories Stereo vision Optical filters Machine vision Oceans

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Adaptive reconstruction using multiple views

Adaptive reconstruction using multiple views

引用

IEEE Southwest Symposium on image analysis and Interpretation

作者： M. Ulvklo H. Knutsson G. Granlund Div. of Sensor Technol. Defense Res. Establ. Linkoping Sweden Computer Vision Laboratory Department of Electrical Engineering Linkoping University Linkoping Sweden

This paper introduces a novel algorithm for extracting the optical flow obtained from a translating camera in a static scene. Occlusion between objects is incorporated as a natural component in a scene reconstruction strategy by first evaluating and reconstructing the foreground and then excluding its influence on the partly occluded objects behind.

关键词： image motion analysis Cameras Layout image reconstruction Optical sensors Spatiotemporal phenomena Sensor systems Infrared sensors Signal resolution Iterative algorithms

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