Inventors
Michael Chertok, Alexander Lorbert, Adi Pinhas
Publication date
2016/7/19
Patent office
US
Patent number
9396415
Application number
14676404
Description
A method for representing an input image includes the steps of applying a trained neural network on the input image, selecting a plurality of feature maps, determining a location of each of the plurality of feature maps in an image space of the input image, defining a plurality of interest points of the input image, and employing the plurality of interest points for representing the input image for performing a visual task. The plurality of feature maps are selected of an output of at least one selected layer of the trained neural network according to values attributed to the plurality of feature maps by the trained neural network. The plurality of interest points of the input image are defined based on the locations corresponding to the plurality of feature maps.
Total citations
20162017201820192020202120222023202433519202011153
Scholar articles
M Chertok, A Lorbert, A Pinhas - US Patent 9,396,415, 2016