In recent years, various methodologies of reverse engineering have been proposed with the aim at creating CAD models from digitization of target objects using optical sensors. Traditionally, the acquisition of 3D geometrical data includes crucial tasks, such as planning scanning strategies and aligning different point clouds by many alternative methodologies which differ for user interaction levels and costs. This paper describes a technology to acquire free form surfaces by combining a 3D vision system and a fully automatic point clouds alignment procedure based on fiducial marker recognition. The aim is to create accurate and complete digital representations of physical objects, even those presenting a few morphological singularities, in a very short time and with minimal human intervention. The technology has been tested acquiring target objects with complex shape.
Automatic Alignment of Multiple Point Clouds by Image Processing and 3D Data Matching
PAOLI, ALESSANDRO;RAZIONALE, ARMANDO VIVIANO
2007-01-01
Abstract
In recent years, various methodologies of reverse engineering have been proposed with the aim at creating CAD models from digitization of target objects using optical sensors. Traditionally, the acquisition of 3D geometrical data includes crucial tasks, such as planning scanning strategies and aligning different point clouds by many alternative methodologies which differ for user interaction levels and costs. This paper describes a technology to acquire free form surfaces by combining a 3D vision system and a fully automatic point clouds alignment procedure based on fiducial marker recognition. The aim is to create accurate and complete digital representations of physical objects, even those presenting a few morphological singularities, in a very short time and with minimal human intervention. The technology has been tested acquiring target objects with complex shape.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
