Feature-Based Warping

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Presentation transcript:

Feature-Based Warping To warp image 1 into image 2, we must establish correspondence between like features Then, those features transform (and rest of image moves with them) In Beier-Neely, features are user-specified line segments (nose, face outline etc.) Warping is an image transformation (generally more complex than scale or shift, but same basic idea) Morphing takes two warped images and cross-dissolves

Warping with Line Segments We know how line warps, but what about whole img? Given p in dest image, where is p’ in source image?

Warping with one Line Pair What happens to the F? Translation!!

Warping with one Line Pair What happens to the F? Scale !! Similar ideas apply to rotation, other similarity transforms

Warping with Multiple Line Pairs

Details

Weighting effect of each line pair

Warping Pseudocode

Morphing Pseudocode

Morphing Example