A multi-scale approach for estimating gradient from volumetric data.
Gradient is mostly used to approximate a quantity called normal vector, which is widely used in techniques such as raycasting or shading to calculate the shade of a pixel. Central Different Equation (CDE), Forward Difference Equation (FDE) and Backward Difference Equation (BDE) [1] are examples of c...
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| Main Author: | |
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| Format: | Monograph |
| Language: | English |
| Published: |
Universiti Sains Malaysia
2015
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| Online Access: | http://eprints.usm.my/31417/1/222e%20A%20multi-scale%20approach%20for%20estimating%20gradient%20from%20volumetric%20data..pdf http://eprints.usm.my/31417/ |
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| Summary: | Gradient is mostly used to approximate a quantity called normal vector, which is widely used in techniques such as raycasting or shading to calculate the shade of a pixel. Central Different Equation (CDE), Forward Difference Equation (FDE) and Backward Difference Equation (BDE) [1] are examples of common finite-difference gradient filters to estimate gradient from discrete data. |
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