Inventors
Michael Chertok, Alexander Lorbert, Adi Pinhas
Publication date
2016/10/13
Patent office
US
Application number
15188729
Description
A method for representing an input image, the method including the steps of applying a trained neural network (NN) on the input image, selecting a plurality of feature maps, determining a location of each of the feature maps in an image space of the input image, defining a plurality of interest points of the input image, representing the input image as a graph according to the interest points and geometric relations between the interest points, and employing the graph for performing a visual task, the graph including a plurality of vertices and edges, and maintaining the data respective of the geometric relations, the feature maps being selected of an output of at least one selected layer of the trained NN according to values attributed to the feature maps by the trained NN, the interest points of the input image being defined based on the locations corresponding to the feature maps.
Total citations
2020202120222023202422542
Scholar articles
M Chertok, A Lorbert, A Pinhas - US Patent App. 15/188,729, 2016