Abstract
We develop expressions for measuring the distance between 2D point sets, which are invariant to either 2D affine transformations or 2D similarity transformations of the sets, and assuming a known correspondence between the point sets. Moreover, it makes it possible to compute the distance between images under different conditions, including cases where the images are treated asymmetrically. We demonstrate these results with real images.
Original language | American English |
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Title of host publication | Proceedings Of The 12th IAPR International Conference On Pattern Recognition |
Subtitle of host publication | Conference A: Computer Vision & Image Processing |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 723-725 |
Number of pages | 3 |
DOIs | |
State | Published - 1994 |
Event | 12th IAPR International Conference on Pattern Recognition , ICPR '94 - Jerusalem, Israel Duration: 9 Oct 1994 → 13 Oct 1994 Conference number: 12 |
Publication series
Name | Proceedings - International Conference on Pattern Recognition |
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Publisher | IEEE |
Volume | 1 |
Conference
Conference | 12th IAPR International Conference on Pattern Recognition , ICPR '94 |
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Abbreviated title | ICPR '94 |
Country/Territory | Israel |
City | Jerusalem |
Period | 9/10/94 → 13/10/94 |
Keywords
- 2D affine invariance
- 2D similarity invariance
- Pattern analysis