A hand-drawn interactive 3D model retrieval method based on high-level semantic attribute understanding
A technology of semantic attributes and three-dimensional models, which can be used in still image data retrieval, metadata still image retrieval, character and pattern recognition, etc., and can solve problems such as low retrieval accuracy.
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[0021] The scheme of the present invention mainly comprises two modules: a semantic attribute extraction module and a semantic attribute similarity measurement module, and its entire technical route flow chart is as attached image 3 shown. Below in conjunction with accompanying drawing, the implementation details of these two modules in the present invention are described in detail:
[0022]1. Global-local semantic attribute extraction based on different categories of hand-drawn sketches
[0023] For the extraction of semantic attributes of hand-drawn sketches, the present invention uses a data-driven approach, collects a large-scale hand-drawn sketch data set as a training sample, and selects an appropriate feature descriptor to extract the corresponding global and local features of each sample. Using classification learning and other methods to predict the global and local semantic attributes corresponding to a certain category of hand-drawn sketches. In this process, the ...
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