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Zabulis et al., 2018 - Google Patents

Correspondence-free pose estimation for 3D objects from noisy depth data

Zabulis et al., 2018

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Document ID
5094006936832123795
Author
Zabulis X
Lourakis M
Koutlemanis P
Publication year
Publication venue
The Visual Computer

External Links

Snippet

Estimating the pose of objects from depth data is a problem of considerable practical importance for many vision applications. This paper presents an approach for accurate and efficient 3D pose estimation from noisy 2.5 D depth images obtained from a consumer depth …
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