Disney Enterprises, Inc.

Eidgenossische Technische Hochschule Zurich

Katja Wolff

Christopher Richard Schroers

Henning Zimmer

Alexander Sorkine-Hornung

Olga Sorkine-Hornung

Changil Kim

Mario Botsch

Enhanced removing of noise and outliers from one or more point sets generated by image-based 3D reconstruction techniques is provided. In accordance with the disclosure, input images and corresponding depth maps can be used to remove pixels that are geometrically and/or photometrically inconsistent with the colored surface implied by the input images. This allows standard surface reconstruction methods (such as Poisson surface reconstruction) to perform less smoothing and thus achieve higher quality surfaces with more features. In some implementations, the enhanced point-cloud noise removal in accordance with the disclosure can include computing per-view depth maps, and detecting and removing noisy points and outliers from each per-view point cloud by checking if points are consistent with the surface implied by the other input views.

Point cloud noise and outlier removal for image-based 3D reconstruction

Growing community of inventors

Zurich, Switzerland

Katja Wolff