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1. DE102018009345 - VERFAHREN UND VORRICHTUNG ZUM TRAINIEREN EINES NEURONALEN NETZWERKS ZUM SPEZIFIZIEREN VON LANDMARKEN AUF 2D- UND 3D-BILDERN

Office Germany
Application Number 102018009345
Application Date 29.11.2018
Publication Number 102018009345
Publication Date 18.06.2020
Publication Kind A1
IPC
G06T 1/40
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
1General purpose image data processing
20Processor architectures; Processor configuration, e.g. pipelining
40Neural networks
G06T 7/73
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
7Image analysis
70Determining position or orientation of objects or cameras
73using feature-based methods
G06K 9/46
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
36Image preprocessing, i.e. processing the image information without deciding about the identity of the image
46Extraction of features or characteristics of the image
CPC
G06K 9/2054
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
20Image acquisition
2054Selective acquisition/locating/processing of specific regions, e.g. highlighted text, fiducial marks, predetermined fields, document type identification
G06K 9/4628
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
36Image preprocessing, i.e. processing the image information without deciding about the identity of the image
46Extraction of features or characteristics of the image
4604Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes, intersections
4609by matching or filtering
4619Biologically-inspired filters, e.g. receptive fields
4623with interaction between the responses of different filters
4628Integrating the filters into a hierarchical structure
G06K 9/6271
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
62Methods or arrangements for recognition using electronic means
6267Classification techniques
6268relating to the classification paradigm, e.g. parametric or non-parametric approaches
627based on distances between the pattern to be recognised and training or reference patterns
6271based on distances to prototypes
G06T 2207/20081
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
2207Indexing scheme for image analysis or image enhancement
20Special algorithmic details
20081Training; Learning
G06T 2207/20084
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
2207Indexing scheme for image analysis or image enhancement
20Special algorithmic details
20084Artificial neural networks [ANN]
G06N 3/08
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computer systems based on biological models
02using neural network models
08Learning methods
Applicants CellmatiQ GmbH
Inventors Blaha Jaroslav
Waldraff Tassilo
Agents Schoppe, Zimmermann, Stöckeler, Zinkler, Schenk & Partner mbB Patentanwälte
Title
(DE) VERFAHREN UND VORRICHTUNG ZUM TRAINIEREN EINES NEURONALEN NETZWERKS ZUM SPEZIFIZIEREN VON LANDMARKEN AUF 2D- UND 3D-BILDERN
Abstract
(DE)

Die vorliegende Erfindung bezieht sich im Allgemeinen auf ein Verfahren, eine Vorrichtung und ein Computerprogramm-Produkt zum Training neuronaler Netze, dazu eingerichtet, um Spezifikationen von Landmarken zu erzeugen, die sich auf zwei- oder drei-dimensionale Bilddaten beziehen. Die Spezifikation von Landmarken wird durch drei Vektoren mit Präsenz-, Positions- und Präzisionswerten definiert, die Landmarken-Spezifikationsvektoren bilden. Das neuronale Netzwerk extrahiert einen Merkmalsvektor aus den Eingangs-Bilddaten unter Verwendung von Schichten eines neuronalen Faltungs-Netzwerks, dekodiert den Merkmalsvektor und gibt Landmarken-Spezifikationsvektoren aus. Die vorliegende Erfindung bezieht sich ferner auf ein System von Vorrichtungen zum Spezifizieren von Landmarken auf Bildern, die von neuronalen Netzwerken erzeugt werden, die auf den Vorrichtungen laufen. embedded image

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