Model based training, detection and pose estimation of texture-less 3d objects in heavily cluttered scenes

ACCV (1), pp. 548-562, 2012.

Cited by: 538|Bibtex|Views112|DOI:https://doi.org/10.1007/978-3-642-37331-2_42
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Other Links: dl.acm.org|dblp.uni-trier.de|academic.microsoft.com

Abstract:

We propose a framework for automatic modeling, detection, and tracking of 3D objects with a Kinect. The detection part is mainly based on the recent template-based LINEMOD approach [1] for object detection. We show how to build the templates automatically from 3D models, and how to estimate the 6 degrees-of-freedom pose accurately and in ...More

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