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Azriel Rosenfeld
Researcher at University of Maryland, College Park
Publications - 613
Citations - 50771
Azriel Rosenfeld is an academic researcher from University of Maryland, College Park. The author has contributed to research in topics: Image processing & Feature detection (computer vision). The author has an hindex of 94, co-authored 595 publications receiving 49426 citations. Previous affiliations of Azriel Rosenfeld include Meiji University.
Papers
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Some notes on finite-state picture languages
TL;DR: This note discusses some of these inequivalence results, and points out a relationship between local picture processing operations and a special class of finite-state languages, the strictly locally testable languages.
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Fast two-frame multiscale dense optical flow estimation using discrete wavelet filters
TL;DR: A multiscale algorithm with complexity O(N) using wavelet filters is proposed to estimate dense optical flow from two frames, and it is shown that if a compactly supported wavelet basis with one vanishing moment is carefully selected, hierarchical image, first-order derivative, and corner representations can be obtained from the wavelet decomposition.
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New views of linearity and connectedness in digital geometry
TL;DR: A less rigid concept of linearity based on least squares and the correlation coefficient is presented and a new type of connectedness is discussed; it is intermediate between the usual 4- and 8-connectedness.
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Symbolic pixel labeling for curvilinear feature detection
TL;DR: A method of detecting thin curvilinear features in an image based on a detailed analysis of the local gray level patterns at each pixel is described, which allows operations such as thinning and gap filling to be based on more accurate information.
Proceedings ArticleDOI
Registration of multiple overlapping range images: scenes without distinctive features
TL;DR: A scheme is developed to match range images in an environment where distinctive features are scarce, and has been used to map the floor of the ocean, where the range data are obtained by a multibeam echo-sounder system.