Labeled bunch graphs for image analysis
AssigneeEyematic Interfaces, Inc.
InventorsLaurenz Wiskott, Christoph von der Malsburg
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Abstract
A process for image analysis which includes selecting a number M of images, forming a model graph from each of the number of images, such that each model has a number N of nodes, assembling the model graphs into a gallery, and mapping the gallery of model graphs into an associated bunch graph by using average distance vectors Δij for the model graphs as edge vectors in the associated bunch graph. A number M of jets is associated with each node of the associated bunch graph, and at least one jet is labeled with an attribute characteristic of one of the number of images. An elastic graph matching procedure is performed wherein the graph similarity function is replaced by a bunch-similarity function.
Claims6
A process for image analysis, comprising:
- selecting a number M of images;
- forming a model graph from each of the M images, such that each model graph has a number N of nodes and a plurality of distance vectors, each distance vector denoting a distance between two adjacent nodes of the model graph;
- assembling the model graphs into a gallery;
- and
- mapping the gallery of model graphs into an associated bunch graph having N nodes and a plurality of edge vectors, each edge vector denoting an average distance between two adjacent nodes of the bunch graph, the average distance being the average of the corresponding distance vectors of the M images.
Dependencies are inferred from the claim text.