A System for Reconstructing Integrated Texture Maps for Large Structures

Chen Xu
Yale University

Athinodoros Georghiades
Yale University

Holly Rushmeier
Yale University

Julie Dorsey
Yale University

A System for Reconstructing Integrated Texture Maps for Large Structures image

Abstract

We consider the problem of creating integrated texture maps of large structures scanned with a time-of-flight laser scanner and imaged with a digital camera. The key issue in creating integrated textures is correcting for the spatially varying illumination across the structure. In most cases, the illumination cannot be controlled, and dense spatial estimates of illumination are not possible. We present a system for processing multiple color images into an integrated texture that makes use of the laser scanner return intensity and the captured geometry, together with color balancing and mapping of illumination-corrected images onto the target geometry after filtering into two spatial frequency bands.

Paper