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Filter Kernels – Edge Detection ⇨ Rewrite as a kernel ⇨ Repeat in Y direction ⇨ Repeat on diagonals [ 0 0 0 ] −1 2 −1 0 0 0 [ 0 −1 0 ] −1 4 −1 0 −1 0 [ −1 −1 −1 8 −1 −1 −1] 24-November-2010 © Copyright Ian D. Romanick 2009, 2010
Sobel Edge Detection ⇨ Uses two filter kernels One in the Y direction One in the X direction F y =[ F x =[ 1 2 1 0 0 0 −1 −2 −1] 1 0 2 0 −2 1 0 −1] 24-November-2010 © Copyright Ian D. Romanick 2009, 2010
Page 1 and 2: VGP352 - Week 8 ⇨ 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 15 and 16: Filter Kernels - Edge Detection ⇨
Page 17: Filter Kernels - Edge Detection ⇨
Page 21 and 22: Sobel Edge Detection Images from ht
Page 23 and 24: Filter Kernels ⇨ Implement this e
Page 25 and 26: Filter Kernels ⇨ Implement this e
Page 27 and 28: Separable Filter Kernels ⇨ 2D ker
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: Ripple Effect ⇨ Render multiple p
Page 37 and 38: Optimization ⇨ Multiple texture l
Page 39 and 40: References Tutorials for several po
Page 41 and 42: Depth-of-field ⇨ Why is DOF impor
Page 43 and 44: Depth-of-field ⇨ Basic optics:
Page 45 and 46: Depth-of-field ⇨ Basic optics:
Page 47 and 48: Depth-of-field ⇨ In most real-tim
Page 49 and 50: Depth-of-field ⇨ Straight-forward
Page 51 and 52: Depth-of-field ⇨ Problem with thi
Page 53 and 54: Depth-of-field ⇨ Simplified GPU i
Page 55 and 56: Depth-of-Field ⇨ “Gather” met
Page 57 and 58: Next week... ⇨ Quiz #4 ⇨ Beyond

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