Geometry Images

Xianfeng Gu  Steven J. Gortler Hugues Hoppe

Abstract

Surface geometry is often modeled with irregular triangle meshes.The process of remeshing refers to approximating such geometry using a mesh with (semi)-regular connectivity, which has advan-tages for many graphics applications. However, current techniques for remeshing arbitrary surfaces create onlysemi-regular meshes.The original mesh is typically decomposed into a set of disk-like charts, onto which the geometry is parametrized and sampled. In this paper, we propose to remesh an arbitrary surface onto acom-pletely regular structure we call a geometry image. It captures geometry as a simple 2D array of quantized points. Surface signals like normals and colors are stored in similar 2D arrays using the same implicit surface parametrization — texture coordinates are absent. To create a geometry image, we cut an arbitrary mesh along a network of edge paths, and parametrize the resulting single chart onto a square. Geometry images can be encoded using traditional image compression algorithms, such as wavelet-based coders.

 

ref:http://hhoppe.com/gim.pdf

http://users.csc.calpoly.edu/~zwood/teaching/csc570/final07/dalum_gzipkin/