Abstract
This paper addresses the problem of matching distinct b ut related objects across images, for applications such as vie w-based model capture, virtual presence, and morphing special effects. A new approach to match estimation is presented for estimating cor - respondances between distinct objects. This approach minimizes the effects of lighting variations and non-rigid deformations. A sparse set of features are used for alignment, followed by image- plane warping, or morphing, based on these constraints.

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