Creating Raster Omnimax Images from Multiple Perspective Views Using The Elliptical Weighted Average Filter - Robotics Institute Carnegie Mellon University

Creating Raster Omnimax Images from Multiple Perspective Views Using The Elliptical Weighted Average Filter

Ned Greene and Paul Heckbert
Conference Paper, Proceedings of IEEE Computer Graphics and Applications, Vol. 6, No. 6, pp. 21 - 27, June, 1986

Abstract

Creation of Omnimax animation by computer opens up fantastic new visual possibilities. Unfortunately, the fish-eye distortion of Omnimax film images complicates synthesis by computer, since most image-synthesis programs can create only perspective views. As an alternative to modifying existing image-synthesis programs to produce Omnimax projections directly, we present a method for creating them from multiple perspective views. Four perspective views of the environment are created, each a projection onto a face of a cube centered at the camera, and then a mapping program creates an Omnimax projection from them. To minimize aliasing during resampling, the mapping program uses the elliptical weighted average filter, a space-variant filter we developed for this application that computes a weighted average over an arbitrarily oriented elliptical area. This filter can also be used for texture mapping 3D surfaces.

BibTeX

@conference{Greene-1986-15288,
author = {Ned Greene and Paul Heckbert},
title = {Creating Raster Omnimax Images from Multiple Perspective Views Using The Elliptical Weighted Average Filter},
booktitle = {Proceedings of IEEE Computer Graphics and Applications},
year = {1986},
month = {June},
volume = {6},
pages = {21 - 27},
}