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Fast and Accurate Structure and Motion Estimation

  • Johan Hedborg
  • Per-Erik Forssén
  • Michael Felsberg
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5875)

Abstract

This paper describes a system for structure-and-motion estimation for real-time navigation and obstacle avoidance. We demonstrate a technique to increase the efficiency of the 5-point solution to the relative pose problem. This is achieved by a novel sampling scheme, where we add a distance constraint on the sampled points inside the RANSAC loop, before calculating the 5-point solution. Our setup uses the KLT tracker to establish point correspondences across time in live video. We also demonstrate how an early outlier rejection in the tracker improves performance in scenes with plenty of occlusions. This outlier rejection scheme is well suited to implementation on graphics hardware. We evaluate the proposed algorithms using real camera sequences with fine-tuned bundle adjusted data as ground truth. To strenghten our results we also evaluate using sequences generated by a state-of-the-art rendering software. On average we are able to reduce the number of RANSAC iterations by half and thereby double the speed.

Keywords

Ground Truth Motion Estimation Obstacle Avoidance Forward Motion Distance Constraint 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Johan Hedborg
    • 1
  • Per-Erik Forssén
    • 1
  • Michael Felsberg
    • 1
  1. 1.Department of Electrical EngineeringLinköping UniversitySweden

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