Verfahren zum Erkennen eines Objekts in einem Bild unter Verwendung von Charakteristischen Vektoren eines Neuronalen Encoding-Netzes

Details

Veröffentlichungs-Nr.

EP3754548

Aktenzeichen

EP19180588

Anmeldetag

17. Juni 2019

Veröffentlichung

4. März 2026

Erteilung

4. März 2026

Rechtsraum

EP

IPC

G06V10/82G06F18/00

Abstract

The present disclosure relates to a method for recognizing an object in an input image. The method comprises: providing an image encoder (120, 502, 601) configured to encode an image to provide a visual feature vector representing the image in an image space, the image encoder comprising a trained convolutional neural network (121), wherein the image space is defined by a fully connected layer of the convolutional neural network. Visual center of mass vectors (122, 123, 124, 504.1-M, 533.1-M) representing object classes in the image space may be provided. The image encoder (120, 502, 601) may encode the input image (505) to provide an input visual feature vector (506) representing the input image (505). The object may be recognized by selecting one of the visual center of mass vectors (504.1-M, 533.1-M) using a proximity criterion relative to the input visual feature vector (506).

Anmelder

Firma

SAP SE

Land

🇩🇪 Deutschland

Fachgebiete