FAST COMPUTATION OF RFD-LIKE DESCRIPTORS IN FOUR ORIENTATIONS

The computation of local feature descriptors for image matching in computer vision can be computationally expensive for real-time on-device applications. Accordingly, disclosed embodiments speed up such computations by precomputing values for gradient maps, and storing them in lookup tables indexed...

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Bibliographic Details
Main Authors TRUSOV, Anton Vsevolodovich, LIMONOVA, Elena Evgenyevna, ARLAZAROV, Vladimir Viktorovich
Format Patent
LanguageEnglish
Published 01.08.2024
Subjects
CALCULATING
COMPUTING
COUNTING
PHYSICS
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Summary:The computation of local feature descriptors for image matching in computer vision can be computationally expensive for real-time on-device applications. Accordingly, disclosed embodiments speed up such computations by precomputing values for gradient maps, and storing them in lookup tables indexed by partial derivatives. In addition, certain embodiments introduce global smoothing, and optionally, global gradient maps. In an embodiment that eliminates all floating-point operations, arctangents can be precomputed for a fixed number of angles, and quantization can be performed when computing the local feature descriptors.
Bibliography:Application Number: US202418409675