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Analytic fusion of visual cues in model-based camera tracking

Published: 14 December 2009 Publication History

Abstract

Model-based camera tracking is a technology that estimates a camera pose by tracking visual cues, i.e. points and edges on a known 3D scene model, in camera images. In model-based camera tracking, it has been a main challenge how to use the visual cues effectively for better performance. In this paper, we carefully analyze the dependency of the visual cues on tracking conditions (or environments) and propose a formula for integrating the visual cues cooperatively into a single framework based on the analysis. Then, we demonstrate that the analytic integration outperforms separate use of either cue and expedient integration of visual cues in arbitrary environments through experiments with synthetic camera images for which ground truth camera poses are given.

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Cited By

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  • (2011)Automatic Adjustment of the Distance Ratio Threshold in Nearest Neighbor Distance Ratio Matching for Robust Camera TrackingIEICE Transactions on Information and Systems10.1587/transinf.E94.D.938E94-D:4(938-940)Online publication date: 2011
  • (2010)Jitter suppression in model-based camera tracking2010 16th International Conference on Virtual Systems and Multimedia10.1109/VSMM.2010.5665984(204-211)Online publication date: Oct-2010

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Published In

cover image ACM Conferences
VRCAI '09: Proceedings of the 8th International Conference on Virtual Reality Continuum and its Applications in Industry
December 2009
374 pages
ISBN:9781605589121
DOI:10.1145/1670252
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 December 2009

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Author Tags

  1. analytic fusion
  2. augmented reality
  3. model-based camera tracking

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VRCAI '09
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Overall Acceptance Rate 51 of 107 submissions, 48%

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Cited By

View all
  • (2011)Automatic Adjustment of the Distance Ratio Threshold in Nearest Neighbor Distance Ratio Matching for Robust Camera TrackingIEICE Transactions on Information and Systems10.1587/transinf.E94.D.938E94-D:4(938-940)Online publication date: 2011
  • (2010)Jitter suppression in model-based camera tracking2010 16th International Conference on Virtual Systems and Multimedia10.1109/VSMM.2010.5665984(204-211)Online publication date: Oct-2010

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