Reconstruction of tridimensional objects with two different textures using Gaussian model
Autor: | Jorge Ibarra Galitzia, Luis David Lara-Rodríguez, Elizabeth López-Meléndez, Eduardo Tepichin-Rodriguez, Estela López-Olazagasti |
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Rok vydání: | 2012 |
Předmět: |
Watershed
Texture (cosmology) Computer science business.industry Gaussian 3D reconstruction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Inverse-square law Image processing symbols.namesake Computer Science::Graphics Computer Science::Computer Vision and Pattern Recognition symbols Computer vision Segmentation Artificial intelligence Representation (mathematics) business Gaussian network model ComputingMethodologies_COMPUTERGRAPHICS |
Zdroj: | SPIE Proceedings. |
ISSN: | 0277-786X |
Popis: | We present in this work the use of two Gaussian models that describe reflectance of two different textures for the reconstruction of tridimensional objects made of these textures. The textures of the objects are segmented using a combination of image processing techniques. These segmentations are correlated with the Gaussian model for corresponding texture, for the reconstruction of the tridimensional object. We show our preliminary experimental result and we discuss the advantages and disadvantages of the Gaussian models, which are compared with the traditional representation of the inverse square law of light. |
Databáze: | OpenAIRE |
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