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Content Provider | IEEE Xplore Digital Library |
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Author | Geiger, A. Ziegler, J. Stiller, C. |
Copyright Year | 2011 |
Description | Author affiliation: Department of Measurement and Control, Karlsruhe Institute of Technology, Germany (Geiger, A.; Ziegler, J.; Stiller, C.) |
Abstract | Accurate 3d perception from video sequences is a core subject in computer vision and robotics, since it forms the basis of subsequent scene analysis. In practice however, online requirements often severely limit the utilizable camera resolution and hence also reconstruction accuracy. Furthermore, real-time systems often rely on heavy parallelism which can prevent applications in mobile devices or driver assistance systems, especially in cases where FPGAs cannot be employed. This paper proposes a novel approach to build 3d maps from high-resolution stereo sequences in real-time. Inspired by recent progress in stereo matching, we propose a sparse feature matcher in conjunction with an efficient and robust visual odometry algorithm. Our reconstruction pipeline combines both techniques with efficient stereo matching and a multi-view linking scheme for generating consistent 3d point clouds. In our experiments we show that the proposed odometry method achieves state-of-the-art accuracy. Including feature matching, the visual odometry part of our algorithm runs at 25 frames per second, while - at the same time - we obtain new depth maps at 3-4 fps, sufficient for online 3d reconstructions. |
Starting Page | 963 |
Ending Page | 968 |
File Size | 1847764 |
Page Count | 6 |
File Format | |
ISBN | 9781457708909 |
ISSN | 19310587 |
e-ISBN | 9781457708916 |
DOI | 10.1109/IVS.2011.5940405 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2011-06-05 |
Publisher Place | Germany |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Three dimensional displays Visualization Real time systems Image reconstruction Stereo image processing Cameras Estimation |
Content Type | Text |
Resource Type | Article |
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