| CPC G06V 40/172 (2022.01) [G06V 10/82 (2022.01)] | 25 Claims |

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1. A method for generating an image recognition signal that can be used by a learning network for image recognition, the method comprising:
receiving image data representing the image of an object;
detecting N landmarks on the image using a deep regression algorithm, wherein N is an integer;
constructing a weighted, fully connected, graph kn from the landmarks by assigning initial weights for the landmarks randomly;
determining an optimized tree structure based on the initial weights;
generating a sequence by traversing the tree structure;
forming a series of embeddings based on the sequence, the embeddings representing the object image; and
inputting the embeddings into a neural network to thereby generate an image recognition signal based on the embeddings.
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