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Scale Invariant Features Transform [http://vision.ucla.edu/~vedaldi/code/sift/sift.html SIFT] | Scale Invariant Features Transform [http://vision.ucla.edu/~vedaldi/code/sift/sift.html SIFT] | ||
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[https://gestion-empleado.ehu.es/sse_generico/espanol/generico_login.jsp?estado=0 Portal del empleado] | [https://gestion-empleado.ehu.es/sse_generico/espanol/generico_login.jsp?estado=0 Portal del empleado] | ||
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Revisión del 11:10 20 jun 2008
Ramón Moreno jiménez
Engineer in Computer Science
Publications
A remote mycological Assistance
Convex Coordinates Based on Lattice Independent Sets as Pattern Features
Convex coordinates from lattice independent sets for visual pattern recognition
Inteligencia ambiental, sistemas ubícuos y visión por computador en telefonía móvil. Estado del arte
Visión por computador y clasificación aplicadas a la micología
Evolutive Parametric Approach for Specular Correction in the Dichromatic Reflection Model Hybrid Artificial Intelligence Systems (HAIS'08).
Current Research
Dichromatic Reflection Separation from a Single Image
Our main aim is separate diffuse and specular reflection from a single image. This separation is based in the dichromatic reflection model.
Links
ToolsThe open source platform for numerical computation SCILAB Scilab Image Processing SIP Scale Invariant Features Transform SIFT |
Information sourcesJournal of Location Based Services
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Others
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Autores relevantes
Robby Tan [3]
Kuk-jin [4]
Katsushi IKEUCHI [5]
David Lowe[6]
Congresos inminentes
HAIS[7]
Revistas de interés
Pettern Recognition [8]
International Journal of Computer Vision [9]
Electronic Letters in Computer Vision and Image Analysis[10]
Images
Diario
- 11 abril 2008
comentar inicialmente formulacion bayesiana tarea: completar review añadiendo pendientes dicromaticas para complementar ikeuchi, revisar aplicaciones de modelado bayesiano (bordes, texture)
Estado burocrático de la tesis
- Directores
- Manuel Graña, Alicia d'Anjou
- DEA pendiente de realizar
