On color texture normalization for active appearance models
| Autor: | Mircea Ionita, Peter Corcoran, Vasile Buzuloiu |
|---|---|
| Rok vydání: | 2009 |
| Předmět: |
Color histogram
Image quality Color normalization Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Color balance Color HSL and HSV Color space Grayscale Models Biological Pattern Recognition Automated Image texture Image Processing Computer-Assisted Humans Computer vision Chromaticity ComputingMethodologies_COMPUTERGRAPHICS Principal Component Analysis business.industry Color image Computer Graphics and Computer-Aided Design Color quantization Active appearance model RGB color space Computer Science::Computer Vision and Pattern Recognition RGB color model Artificial intelligence business Software Algorithms |
| Zdroj: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 18(6) |
| ISSN: | 1057-7149 |
| Popis: | The extension of the standard grayscale active appearance model (AAM) techniques to color images is investigated. Prior work in this field has mainly focused on RGB color models which did not demonstrate noticeable benefits over grayscale models from the point of view of convergence accuracy. We improve on previous work by normalizing the color texture vector separately for intensity and chromaticity components. Where an appropriate color space is chosen, we demonstrate improvements in convergence accuracy as well as image synthesization quality for AAMs. Optimal results are achieved when a color space in which the image channels are strongly decorrelated is chosen. Our best results are achieved using the I1I2I3 color space, originally proposed by Ohta. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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