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://dx.doi.org/10.1109/iccv.2011.6126505
http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000006126505,
https://doi.org/10.1109/ICCV.2011.6126505,
https://academic.microsoft.com/#/detail/2118310317
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Published on 01/01/2011

Volume 2011, 2011
DOI: 10.1109/iccv.2011.6126505
Licence: CC BY-NC-SA license

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