Local Harmonic Analysis and Stereo Tokens
In this paper, we discuss the problem of selecting features (tokens) that may be matched when recovering depth from stereoscopic pairs of images. A class of biologically plausible tokens, based on two-dimensional Gabor filters, is presented. It is shown that, with these tokens, one can get high qual...
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| Tipo de recurso: | informe técnico |
| Estado: | Versión publicada |
| Fecha de publicación: | 1988 |
| País: | México |
| Institución: | Centro de Investigación en Matemáticas |
| Repositorio: | Repositorio Institucional CIMAT |
| Idioma: | inglés |
| OAI Identifier: | oai:cimat.repositorioinstitucional.mx:1008/765 |
| Acceso en línea: | http://cimat.repositorioinstitucional.mx/jspui/handle/1008/765 |
| Access Level: | acceso abierto |
| Palabra clave: | info:eu-repo/classification/MSC/Análisis Armonico info:eu-repo/classification/cti/1 info:eu-repo/classification/cti/12 info:eu-repo/classification/cti/1203 info:eu-repo/classification/cti/120302 |
| Sumario: | In this paper, we discuss the problem of selecting features (tokens) that may be matched when recovering depth from stereoscopic pairs of images. A class of biologically plausible tokens, based on two-dimensional Gabor filters, is presented. It is shown that, with these tokens, one can get high quality, dense disparity maps for images of real scenes, using a very simp!~ matching strategy. A feedback method for selecting an optimal set of filters is also presented. |
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