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Content Provider | IEEE Xplore Digital Library |
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Author | Gluckman, J. |
Copyright Year | 2006 |
Description | Author affiliation: Polytechnic University, Brooklyn, New York (Gluckman, J.) |
Abstract | Multi-scale representations are motivated by the scale invariant properties of natural images. While many low level statistical measures, such as the local mean and variance of intensity, behave in a scale invariant manner, there are many higher order deviations from scale invariance where zero-crossings merge and disappear. Such scale variant behavior is important information to represent because it is not easily predicted from lower resolution data. A scale variant image pyramid is a representation that separates this information from the more redundant and predictable scale invariant information. |
Starting Page | 1069 |
Ending Page | 1075 |
File Size | 2512141 |
Page Count | 7 |
File Format | |
ISBN | 0769525970 |
ISSN | 10636919 |
DOI | 10.1109/CVPR.2006.265 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2006-06-17 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Laplace equations Fractals Higher order statistics Merging Extraterrestrial phenomena Image representation Region 6 Data mining Detectors Histograms |
Content Type | Text |
Resource Type | Article |
Subject | Computer Vision and Pattern Recognition Software |
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