Product sub vector quantization for feature indexing
Product sub vector quantization for feature indexing
This work addresses the problem of feature indexing to significantly accelerate the matching process which is commonly known as a cumbersome task in many computer vision applications. To this aim, we propose to perform product sub-vector quantization (PSVQ) to create finer representation of underlying data while still maintaining reasonable memory allocation.
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Tài liệu miễn phí Đồ họa - Thiết kế - Flash