Summary
We show that a map of empty space around objects near a mobile camera in an unknown environment can be obtained from a naive light field model of image data. We observe that, between the nearest objects, cells with different light in different directions correspond to empty space. We describe experiments with a robot in an environment with black objects and white objects seen against a black and white background. As there are no absolute silhouettes in this environment, ordinary silhouette methods cannot be used. We demonstrate that the robot is able, in real-time, to find and pass through a gap in a row of objects or stop if no gap is wide enough.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
A. Eppendahl and R. Maigre. Mobile camera parameter recovery in an unknown environment without point features. In Proceeding of 2005 IEEE Symposium on Computational Intelligence in Robotics and Automation (CIRA), 2005.
K.N. Kutulakos and S.M. Seitz. A theory of shape by space carving. In Proceedings of the 7th International Conference on Computer Vision, 1999.
M. Levoy and P. Hanrahan. Light-field rendering. In Computer Graphics. Annual Conference Series, 1996.
W. N. Martin and J. K. Aggarwal. Volumetric description of objects from multiple views. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI-5:150–158, 1994.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Eppendahl, A., Ojamaa, A. (2006). Seeing Empty Space in an Unknown Environment without Silhouettes. In: Murase, K., Sekiyama, K., Naniwa, T., Kubota, N., Sitte, J. (eds) Proceedings of the 3rd International Symposium on Autonomous Minirobots for Research and Edutainment (AMiRE 2005). Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-29344-2_4
Download citation
DOI: https://doi.org/10.1007/3-540-29344-2_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28496-3
Online ISBN: 978-3-540-29344-6
eBook Packages: EngineeringEngineering (R0)