Aiming 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 ex- traction and description, a processing chain composed by feature matching and correspondence searching, ranking grouping and skimming is performed to select the most re- liable 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 behav- ior 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.
A robust pipeline for rapid feature-based pre-alignment of dense range scans
BONARRIGO, Francesco;SIGNORONI, Alberto;LEONARDI, Riccardo
2011-01-01
Abstract
Aiming 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 ex- traction and description, a processing chain composed by feature matching and correspondence searching, ranking grouping and skimming is performed to select the most re- liable 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 behav- ior 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.File | Dimensione | Formato | |
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