Photorealistic Scene Reconstruction by Voxel Coloring - Robotics Institute Carnegie Mellon University

Photorealistic Scene Reconstruction by Voxel Coloring

Steven Seitz and Charles Dyer
Journal Article, International Journal of Computer Vision, Vol. 35, No. 2, pp. 151 - 173, November, 1999

Abstract

A novel scene reconstruction technique is presented, different from previous approaches in its ability to cope with large changes in visibility and its modeling of intrinsic scene color and texture information. The method avoids image correspondence problems by working in a discretized scene space whose voxels are traversed in a fixed visibility ordering. This strategy takes full account of occlusions and allows the input cameras to be far apart and widely distributed about the environment. The algorithm identifies a special set of invariant voxels which together form a spatial and photometric reconstruction of the scene, fully consistent with the input images. The approach is evaluated with images from both inward-facing and outward-facing cameras.

BibTeX

@article{Seitz-1999-15059,
author = {Steven Seitz and Charles Dyer},
title = {Photorealistic Scene Reconstruction by Voxel Coloring},
journal = {International Journal of Computer Vision},
year = {1999},
month = {November},
volume = {35},
number = {2},
pages = {151 - 173},
}