A framework for 3D object identification and tracking

Chliveros G., Figueiredo R.P., Moreno P., Pateraki M., Bernardino A., Santos-Victor, J. and Trahanias P., 2014. A framework for 3D object identification and tracking. In Proc. of the 9th International Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP2014), 5-7 January, Lisbon, Portugal. [doi] [pdf] [bib]

Abstract:

In this paper we present a framework for the estimation of the pose of an object in 3D space: from the detection and subsequent recognition from a 3D point-cloud, to tracking in the 2D camera plane. The detection process proposes a way to remove redundant features, which leads to significant computational savings without affecting identification performance. The tracking process introduces a method that is less sensitive to outliers and is able to perform in soft real-time. We present preliminary results that illustrate the effectiveness of the approach both in terms of accuracy and computational speed.

This entry was posted in Publications. Bookmark the permalink. Comments are closed, but you can leave a trackback: Trackback URL.