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Image Texture Prediction Using Colour Photometric Stereo

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Topics in Artificial Intelligence (CCIA 2002)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2504))

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Abstract

The purpose of this work is to analyse what happens to the surface information when the image resolution is modified. We deduce how the surface texture appears if seen from different distances. Using Colour Photometric Stereo a method for predicting how surface texture looks like when changing the distance of the camera is presented. We use this technique on the recognition of textures seen from different distances. Real sets of images have been used in order to evaluate the performance of the recognition system.

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© 2002 Springer-Verlag Berlin Heidelberg

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Lladó, X., Martí, J., Petrou, M. (2002). Image Texture Prediction Using Colour Photometric Stereo. In: Escrig, M.T., Toledo, F., Golobardes, E. (eds) Topics in Artificial Intelligence. CCIA 2002. Lecture Notes in Computer Science(), vol 2504. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36079-4_31

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  • DOI: https://doi.org/10.1007/3-540-36079-4_31

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00011-2

  • Online ISBN: 978-3-540-36079-7

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