Ponencia
Programmable 2D image filter for AER vision processing
Autor/es | Serrano Gotarredona, María Teresa
Andreou, Andreas G. Linares Barranco, Bernabé |
Departamento | Universidad de Sevilla. Departamento de Arquitectura y Tecnología de Computadores |
Fecha de publicación | 1999 |
Fecha de depósito | 2020-10-29 |
Publicado en |
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ISBN/ISSN | 0-7803-5471-0 |
Resumen | A VLSI architecture is proposed for the realization of real-time 2D image filtering in an address-event-representation (AER) vision system, The architecture is capable of implementing any convolutional kernel F(x, y) as ... A VLSI architecture is proposed for the realization of real-time 2D image filtering in an address-event-representation (AER) vision system, The architecture is capable of implementing any convolutional kernel F(x, y) as long as it is decomposable into x-axis and y-axis components, i.e, F(x, y)=H(x)V(y), for some rotated coordinate system {x, y}, and if this product can be approximated safely by a signed minimum operation. The proposed architecture is intended to be used in a complete vision system, known as the boundary-contour-system and feature-contour-system (BCS-FCS) vision model. |
Cita | Serrano Gotarredona, M.T., Andreou, A.G. y Linares Barranco, B. (1999). Programmable 2D image filter for AER vision processing. En ISCAS 1999: IEEE International Symposium on Circuits and Systems (IV/159-IV/162), Orlando, Florida, USA: IEEE Computer Society. |
Ficheros | Tamaño | Formato | Ver | Descripción |
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Programmable 2D image.pdf | 459.6Kb | [PDF] | Ver/ | |