Verfahren zur Einstellung eines Klassierers zur Erkennung dreidimensionaler Formen und Verfahren zur Erkennung dreidimensionaler Formen unter Verwendung des besagten Klassierers zur Formenerkennung

Details

Veröffentlichungs-Nr.

EP3035235

Aktenzeichen

EP14382532

Anmeldetag

17. Dezember 2014

Veröffentlichung

19. Juli 2023

Erteilung

19. Juli 2023

Rechtsraum

EP

IPC

G06V10/764G06V20/64G06V40/10G06F18/243

Abstract

Method for setting a tridimensional shape detection classifier for detecting tridimensional shapes from depth images in which each pixel represents a depth distance from a source to a scene, the classifier comprising a forest of at least a binary tree (T) for obtaining the class probability (p) of a given shape comprising nodes associated with a distance function (f) that taking at least a pixel position in a patch calculates a pixel distance. The method comprises per each leaf (L) node of the binary tree the configuration steps of creating candidate groups of parameters; obtaining positive patches (Ip) containing part of the shape to be detected; obtaining negative patches (In) not containing part of the shape to be detected; calculating in the leaf node the distance function of the obtained positive and negative patches comparing the result of the distance function with its pixel distance threshold and computing its statistics; and selecting for the leaf node the candidate group of parameters that best separate the positive and negative patches into two groups for calculating the class probability of the shape in that leaf node using the distance function. It is also disclosed a method for shape detection from a depth image using the shape detection classifier; a data processing apparatus comprising means for carrying out the methods; and a computer program adapted to perform the methods.

Anmelder

Firmen

Exipple Studio, Inc.
Exipple Studio, S.L.
Fezoo Labs, S.L.

Land

🇺🇸 USA

Fachgebiete