WorldCat Identities

Karl, William Clement

Overview
Works: 23 works in 44 publications in 1 language and 68 library holdings
Publication Timeline
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Publications about  William Clement Karl Publications about William Clement Karl
Publications by  William Clement Karl Publications by William Clement Karl
Most widely held works by William Clement Karl
Reconstructing objects from projections by William Clement Karl ( Book )
4 editions published in 1991 in English and held by 6 WorldCat member libraries worldwide
Extensions to symmetric matrices with arbitrary interval matrix bounds of the form X[sub-bar] [<or =] X [<or =] X[bar] are provided. The resulting matrix estimates provide a complete solution to the original ellipsoid and curvature reconstruction problems. The inclusion of a dynamic relationship is straightforward, and is demonstrated for the case of ellipsoids. The techniques developed are applicable to other linear symmetrix matrix problems. Consistency and smoothness of reconstructions based on discrete support hyperplane measurements are also investigated. Such support measurements arise from 1-dimensional projections of objects
Optical flow computation via multiscale regularization by M. R Luettgen ( Book )
2 editions published in 1992 in English and held by 4 WorldCat member libraries worldwide
The apparent motion of brightness patterns in an image is referred to as the optical flow. In computational vision, optical flow is an important input into higher level vision algorithms performing tasks such as segmentation, tracking, object detection, robot guidance and recovery of shape information. In addition, methods for computing optical flow are an essential part of motion compensated coding schemes. In this paper, we present a new approach to the problem of computing optical flow. Standard formulations of this problem require the computationally intensive solution of an elliptic partial differential equation which arises from the often used "smoothness constraint" regularization term. We utilize the interpretation of the smoothness constraint as a "fractal prior" to motivate regularization based on a recently introduced class of multiscale stochastic models. These models are associated with efficient multiscale smoothing algorithms, and experiments on several image sequences demonstrate the substantial computational savings that can be achieved through their use
Local tests for consistency of support hyperplane data ( Book )
2 editions published in 1993 in English and held by 4 WorldCat member libraries worldwide
Reconstructing ellipsoids from projections by William Clement Karl ( Book )
2 editions published in 1992 in English and held by 4 WorldCat member libraries worldwide
Statistical approaches to the tomographic reconstruction of finitely parameterized geometric objects by P Milanfar ( Book )
2 editions published in 1992 in English and held by 3 WorldCat member libraries worldwide
A sufficient condition for the stability of interval matrix polynomials by William Clement Karl ( Book )
2 editions published in 1991 in English and held by 3 WorldCat member libraries worldwide
Sequential filtering multi-frame visual reconstruction by T. M Chin ( Book )
2 editions published in 1991 in English and held by 3 WorldCat member libraries worldwide
Control of vibrational systems by William Clement Karl ( Book )
2 editions published in 1992 in English and held by 3 WorldCat member libraries worldwide
A fast multiscale tomographic reconstruction method from complete but possibly noisy projection data by Michael V Bhatia ( Book )
2 editions published in 1993 in English and held by 3 WorldCat member libraries worldwide
Reconstructing parametrized objects from projections : a statistical view by Peyman Milanfar ( Book )
2 editions published in 1993 in English and held by 3 WorldCat member libraries worldwide
Wavelet packet based transient signal classification by Rachel E Learned ( Book )
2 editions published in 1992 in English and held by 3 WorldCat member libraries worldwide
Non-stationary signals are not well suited for detection and classification by traditional Fourier methods. An alternate means of analysis needs to be employed so that valuable time-frequency information is not lost. The wavelet packet transform is one such time-frequency analysis tool. This paper summarizes which examine the feasibility of applying the wavelet packet transform to automatic transient signal classification through the development of a classification algorithm for biologically generated underwater acoustic signals in ocean noise. The formulation of a wavelet packet based feature set specific to the classification of snapping shrimp and whale clicks is given
Moment-based variational approach to tomographic reconstruction by Peyman Milanfar ( Book )
2 editions published in 1993 in English and held by 3 WorldCat member libraries worldwide
Multiresolution statistical analysis and assimilation of large ocean data sets by Paul Werner Fieguth ( Book )
2 editions published in 1995 in English and held by 3 WorldCat member libraries worldwide
Estimation of dynamically evolving ellipsoids with applications to medical imaging by S Jaggi ( Book )
2 editions published in 1994 in English and held by 3 WorldCat member libraries worldwide
Curvatures of surfaces and their shadows by William Clement Karl ( Book )
2 editions published in 1989 in English and held by 3 WorldCat member libraries worldwide
Using natural wavelet bases and multiscale stochastic models for tomographic reconstruction by Michael V Bhatia ( Book )
2 editions published in 1993 in English and held by 3 WorldCat member libraries worldwide
We use a multiscale natural pixel type representation of an object, originally developed for incomplete data problems, to construct nearly orthonormal basis functions. The coefficients of expansion of an object in these basis functions are obtained as the 1-D wavelet transform of the (strip integral) projections of the object. This enables us to formulate a multiscale tomographic reconstruction technique wherein the object is reconstructed at multiple scales or resolutions. A complete reconstruction is obtained by combining the reconstructions at different scales. The nearly orthonormal behavior of the basis functions results in a system matrix, relating the input (the object coefficients) and the output (the projection data), which is extremely sparse. The system matrix, in addition to being sparse, is well-conditioned and has a symmetric block-Toeplitz structure if the angular projections are uniformly spaced between 0 degrees and 180 degrees. Fast inversion algorithms exist for these matrices. The multiscale reconstruction technique can find applications in object feature recognition directly from projection data, tackling ill-posed imaging problems where the projection data are incomplete and/or noisy, and construction of multiscale stochastic models for which fast estimation algorithms exist. In this paper, we include examples illustrating the above applications of our multiscale reconstruction technique
A distributed and iterative method for square root filtering in space-time estimation by Toshio M Chin ( Book )
2 editions published in 1994 in English and held by 3 WorldCat member libraries worldwide
We describe a distribute, and iterative approach to perform the unitary transformations in the square root information filter imple nentation of the Kalman filter, providing an alternative to the common QR factorization-based approaches. The new approach is useful in approximate computation of filtered estimates for temporally-evolving random fields defined by local interactions and observations. Using several examples motivated by computer vision applications, we demonstrate that near-optimal estimates can be computed for problems of practical importance using only a small number of iterations, which can be performed in a finely parallel manner over the spatial domain of the random field
Efficient multiscale regularization with applications to the computation of optical flow by Mark R Luettgen ( Book )
2 editions published in 1993 in English and held by 3 WorldCat member libraries worldwide
A new approach to regularization methods for image processing is introduced and developed using as a vehicle the problem of computing dense optical flow fields in an image sequence. Standard formulations of this problem require the computationally intensive solution of an elliptic partial differential equation which arises from the often used "smoothness constraint" type regularization. We utilize the interpretation of the smoothness constraint as a "fractal prior" to motivate regularization based on a recently introduced class of multiscale stochastic models. The solution of the new problem formulation is computed with an efficient multiscale algorithm
Recovering the moments of a function from its radon-transform projections : necessary and sufficient conditions by Peyman Milanfar ( Book )
2 editions published in 1992 in English and held by 3 WorldCat member libraries worldwide
Sequential optical flow estimation using temporal coherence by T. M Chin ( Book )
1 edition published in 1992 in English and held by 2 WorldCat member libraries worldwide
 
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Audience level: 0.88 (from 0.73 for Sequential ... to 0.96 for Multiresol ...)
Alternative Names
Karl, W. C. (William Clement)
Karl, W. Clem (William Clem)
Languages
English (41)