A robust pipeline for rapid feature-based pre-alignment of dense range scans


== Abstract ==

ming at reaching an interactive and simplified usage of high-resolution 3D acquisition systems, this paper presents a fast and automated technique for pre-alignment of dense range images. Starting from a multi-scale feature point extraction and description, a processing chain composed by feature matching and correspondence searching, ranking grouping and skimming is performed to select the most reliable correspondences over which the correct alignment is estimated. Pre-alignment is obtained in few seconds per million point images on a off-the-shelf PC architecture. The experimental setup aimed to demonstrate the system behavior with respect to a set of concurrent requirements and the obtained performance are significant in the perspective of a fast, robust and unconstrained 3D object reconstruction.


== Original document ==

The different versions of the original document can be found in:

* [http://hdl.handle.net/11379/98118 http://hdl.handle.net/11379/98118]

* [http://xplorestaging.ieee.org/ielx5/6118259/6126217/06126505.pdf?arnumber=6126505 http://xplorestaging.ieee.org/ielx5/6118259/6126217/06126505.pdf?arnumber=6126505],
: [http://dx.doi.org/10.1109/iccv.2011.6126505 http://dx.doi.org/10.1109/iccv.2011.6126505]

* [https://dblp.uni-trier.de/db/conf/iccv/iccv2011.html#BonarrigoSL11 https://dblp.uni-trier.de/db/conf/iccv/iccv2011.html#BonarrigoSL11],
: [http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000006126505 http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000006126505],
: [https://doi.org/10.1109/ICCV.2011.6126505 https://doi.org/10.1109/ICCV.2011.6126505],
: [https://academic.microsoft.com/#/detail/2118310317 https://academic.microsoft.com/#/detail/2118310317]