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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Knutsson, H. Westin, C.-F. |
| Copyright Year | 1993 |
| Description | Author affiliation: Dept. of Electr. Eng., Kinkoping Univ., Sweden (Knutsson, H.; Westin, C.-F.) |
| Abstract | It is shown how false operator responses due to missing or uncertain data can be significantly reduced or eliminated. It is shown how operators having a higher degree of selectivity and higher tolerance against noise can be constructed using simple combinations of appropriately chosen convolutions. The theory is based on linear operations and is general in that it allows for both data and operators to be scalars, vectors or tensors of higher order. Three new methods are represented: normalized convolution, differential convolution and normalized differential convolution. All three methods are examples of the power of the signal/certainty-philosophy, i.e., the separation of both data and operator into a signal part and a certainty part. Missing data are handled simply by setting the certainty to zero. In the case of uncertain data, an estimate of the certainty must accompany the data. Localization or windowing of operators is done using an applicability function, the operator equivalent to certainty, not by changing the actual operator coefficients. Spatially or temporally limited operators are handled by setting the applicability function to zero outside the window.< |
| Starting Page | 515 |
| Ending Page | 523 |
| File Size | 786468 |
| Page Count | 9 |
| File Format | |
| ISBN | 081863880X |
| ISSN | 10636919 |
| DOI | 10.1109/CVPR.1993.341081 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1993-06-15 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Convolution Tensile stress Interpolation Filtering Computer vision Laboratories Vectors Information analysis Signal analysis Performance analysis |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition Software |
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