Lernbasierte Abtastung zur Bildmattierung

Details

Veröffentlichungs-Nr.

EP3737083

Aktenzeichen

EP20173971

Anmeldetag

11. Mai 2020

Veröffentlichung

9. August 2023

Erteilung

9. August 2023

Rechtsraum

EP

IPC

H04N5/272H04N5/275G06T7/11G06T7/194

Abstract

Techniques are disclosed for image matting. In particular, embodiments decompose the matting problem of estimating foreground opacity into the targeted subproblems of estimating a background using a first trained neural network, estimating a foreground using a second neural network and the estimated background as one of the inputs into the second neural network, and estimating an alpha matte using a third neural network and the estimated background and foreground as two of the inputs into the third neural network. Such a decomposition is in contrast to traditional sampling-based matting approaches that estimated foreground and background color pairs together directly for each pixel. By decomposing the matting problem into subproblems that are easier for a neural network to learn compared to traditional data-driven techniques for image matting, embodiments disclosed herein can produce better opacity estimates than such data-driven techniques as well as sampling-based and affinity-based matting approaches.

Anmelder

Firma

Disney Enterprises, Inc.

Land

🇺🇸 USA

Fachgebiete