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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Nishide, S. Takubo, T. Inoue, K. Arai, T. |
| Copyright Year | 2005 |
| Description | Author affiliation: Dept. of Syst. Innovation, Osaka Univ., Japan (Nishide, S.; Takubo, T.; Inoue, K.; Arai, T.) |
| Abstract | Robots working in complex environment require accurate perception of a wide field of view. Using cameras, hybrid motion stereo, which combines the computations by stereo vision and motion stereo, is capable of acquiring positional information of the whole field of view. However, the technique generates errors in computation by motion stereo when tracking feature points fails. This paper describes a method to reject the outliers to avoid erroneous recognition. The method uses computation results from several previous images, computing the spatial deviation and temporal deviation of points, and rejecting those considered to be deviated. The evaluation function is composed with a weighted average of the sequential results, each with a weight of the total number of points existing in the neighboring space, which represents the spatial deviation. Experimental results using the humanoid robot HRP-2 denote the effectiveness of the method. |
| Starting Page | 647 |
| Ending Page | 652 |
| File Size | 471705 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780389123 |
| DOI | 10.1109/IROS.2005.1545104 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-08-02 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Stereo vision Cameras Computer vision Robot vision systems Mobile robots Tracking Human robot interaction Orbital robotics Object recognition Computational efficiency Motion Stereo Mobile Robot Environmental Recognition Stereo Vision |
| Content Type | Text |
| Resource Type | Article |
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