Object identification by using orthonormal circus functions from the trace transform
In this paper we present an efficient way to both compute and extract salient information from trace transform signatures to perform object identification tasks. We also present a feature selection analysis of the classical trace-transform functionals, which reveals that most of them retrieve redund...
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| creator | Frias-Velazquez, A. Ortiz, C. Pizurica, A. Philips, W. Cerda, G. |
| description | In this paper we present an efficient way to both compute and extract salient information from trace transform signatures to perform object identification tasks. We also present a feature selection analysis of the classical trace-transform functionals, which reveals that most of them retrieve redundant information causing misleading similarity measurements. In order to overcome this problem, we propose a set of functionals based on Laguerre polynomials that return orthonormal signatures between these functionals. In this way, each signature provides salient and non-correlated information that contributes to the description of an image object. The proposed functionals were tested considering a vehicle identification problem, outperforming the classical trace transform functionals in terms of computational complexity and identification rate. |
| doi_str_mv | 10.1109/ICIP.2012.6467319 |
| format | Conference Proceeding |
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| identifier | ISSN: 1522-4880 |
| ispartof | 2012 19th IEEE International Conference on Image Processing, 2012, p.2153-2156 |
| issn | 1522-4880 2381-8549 |
| language | eng |
| recordid | cdi_ieee_primary_6467319 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Cameras Correlation Feature extraction Feature selection Kernel Laguerre polynomials Object identification Orthonormal signatures Polynomials Trace transform Transforms Vehicles |
| title | Object identification by using orthonormal circus functions from the trace transform |
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