Download | - View accepted manuscript: Robust Object Pose Estimation From Feature-Based Stereo (PDF, 832 KiB)
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Author | Search for: Roth, Gerhard; Search for: Laganiere, R.; Search for: Gilbert, S. |
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Format | Text, Article |
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Conference | IEEE Transactions on Instrumentation and Measurement, August 2006. |
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Subject | camera calibration; feature matching; feature tracking; pose estimation; shape-from-silhouette; stereovision; three-dimensional (3-D) reconstruction |
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Abstract | This paper addresses the problem of computing the three-dimensional (3-D) path of a moving rigid object using a calibrated stereoscopic vision setup. The proposed system begins by detecting feature points on the moving object. By tracking these points over time, it produces clouds of 3-D points that can be registered, thus giving information about the underlying camera motion. A novel correction scheme that compensates for the accumulated error in the computed positions by automatic detection of loop-back points in the movement of the object is also proposed. An application to object modeling is presented in which a handheld object is moved in front of a camera and is reconstructed using silhouette intersection. |
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Publication date | 2006 |
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In | |
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Language | English |
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NRC number | NRCC 48741 |
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NPARC number | 8913313 |
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Export citation | Export as RIS |
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Report a correction | Report a correction (opens in a new tab) |
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Record identifier | b52e2901-ab9c-465a-9c8c-e341cb68c605 |
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Record created | 2009-04-22 |
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Record modified | 2020-04-22 |
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