Other

Universita′ Degli Studi Di Udine

3Dflow Srl

Andrea Fusiello

Luca Magri

Simone Fantoni

Roberto Toldo

Yash Singh

Stefano Zorzi

Eleonora Maset

Fabio Crosilla

A method based on Structure from Motion for processing a plurality of sparse images acquired by one or more acquisition devices to generate a sparse 3D points cloud and of a plurality of internal and external parameters of the acquisition devices includes the steps of collecting the images; extracting keypoints therefrom and generating keypoint descriptors; organizing the images in a proximity graph; pairwise image matching and generating keypoints connecting tracks according maximum proximity between keypoints; performing an autocalibration between image clusters to extract internal and external parameters of the acquisition devices, wherein calibration groups are defined that contain a plurality of image clusters and wherein a clustering algorithm iteratively merges the clusters in a model expressed in a common local reference system starting from clusters belonging to the same calibration group; and performing a Euclidean reconstruction of the object as a sparse 3D point cloud based on the extracted parameters.

Method for 3D modelling based on structure from motion processing of sparse 2D images

Growing community of inventors

Udine, Italy

Andrea Fusiello