Efficient Bundle Adjustment with Virtual Key Frames: A Hierarchical Approach to Multi-Frame Structure from Motion - Robotics Institute Carnegie Mellon University

Efficient Bundle Adjustment with Virtual Key Frames: A Hierarchical Approach to Multi-Frame Structure from Motion

Heung-Yeung Shum, Qifa Ke, and Z. Zhang
Conference Paper, Proceedings of (CVPR) Computer Vision and Pattern Recognition, Vol. 2, pp. 538 - 543, June, 1999

Abstract

In this paper we present an efficient hierarchical approach to structure from motion for long image sequences. There are two key elements to our approach: accurate 3D reconstruction for each segment and efficient bundle adjustment for the whole sequence. The image sequence is first divided into a number of segments so that feature points can be reliably tracked across each segment. Each segment has a long baseline to ensure accurate 3D reconstruction. To efficiently bundle adjust 3D structures from ail segments, we reduce the number of frames in each segment by introducing "virtual keyframes". The virtual frames encode the 3D structure of each segment along with its uncertainty but they form a small subset of the original frames. Our method achieves significant speedup over conventional bundle adjustment methods.

BibTeX

@conference{Shum-1999-14942,
author = {Heung-Yeung Shum and Qifa Ke and Z. Zhang},
title = {Efficient Bundle Adjustment with Virtual Key Frames: A Hierarchical Approach to Multi-Frame Structure from Motion},
booktitle = {Proceedings of (CVPR) Computer Vision and Pattern Recognition},
year = {1999},
month = {June},
volume = {2},
pages = {538 - 543},
}