Robust multi-hypothesis 3D object pose tracking
ICVS, pp. 234-243, 2013.
This paper tackles the problem of 3D object pose tracking from monocular cameras. Data association is performed via a variant of the Iterative Closest Point algorithm, thus making it robust to noise and other artifacts. We re-initialise the hypothesis space based on the resulting re-projection error between hypothesised models and observe...More
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