Pasting on Deformable Surfaces with Visible Ink Using Dense SIFT Flow

نویسنده

  • Andrew Liu
چکیده

Pasting onto a deformable surfaces requires either a non-parametric warp or a high d.o.f global warp approximation. Previous works utilized techniques such as moving least squares or hierarchical big data to define a non-parametric mapping from an image to a known template. In this paper, I use Dense SIFT Flow to generate a dense pixel mapping which is used to warp regions from a mesh template to an input image containing a deformed mesh template. One of the latest works used infrared ink and a 1000 FPS camera to capture and isolate videos. I decided to recreate similar results using slower hardware and colored mesh grid.

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تاریخ انتشار 2016