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Separable Filter Kernels ⇨ Some 2D kernels can be re-written as the product of 2 1D kernels These kernels are called separable Applying each 1D kernel requires n texture reads per pixel, doing both requires 2n 2n ≪ n 2 20-May-2009 © Copyright Ian D. Romanick 2009
Separable Filter Kernels ⇨ 2D kernel is calculated as the outer-product of the individual 1D kernels A 0 B 0 ⋯ A 0 B n A B=[ T ⋮ ⋮ A n B 0 ⋯ A n B n] 20-May-2009 © Copyright Ian D. Romanick 2009
Page 1 and 2: VGP352 - Week 7 ⇨ Agenda: Text
Page 3 and 4: Texture Rectangle ⇨ Added feature
Page 5 and 6: Post-processing Effects ⇨ Overvie
Page 7 and 8: Post-processing Effects ⇨ Draw tw
Page 9 and 10: Post-processing Effects ⇨ Offset
Page 11 and 12: Filter Kernels ⇨ Uniform blur ove
Page 13 and 14: Filter Kernels - Edge Detection ⇨
Page 19 and 20: Sobel Edge Detection ⇨ Uses two f
Page 21 and 22: Sobel Edge Detection Images from ht
Page 23 and 24: Filter Kernels ⇨ Implement this e
Page 25: Filter Kernels ⇨ Implement this e
Page 29 and 30: Separable Filter Kernels ⇨ The 2D
Page 31 and 32: Separable Filter Kernels ⇨ Implem
Page 33 and 34: References http://www.archive.org/d
Page 35 and 36: Depth-of-field ⇨ Basic optics:
Page 37 and 38: Depth-of-field ⇨ In most real-tim
Page 39 and 40: Depth-of-field ⇨ In most real-tim
Page 41 and 42: Depth-of-field ⇨ Problem with thi
Page 43 and 44: Depth-of-field ⇨ Simplified GPU i
Page 45 and 46: Depth-of-field ⇨ Simplified GPU i
Page 47 and 48: Next week... ⇨ Beyond bumpmaps:

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