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Feb 26, 2018 · Reliable and efficient Visual Place Recognition is a major building block of modern SLAM systems. Leveraging on our prior work, in this paper we present a Hamming Distance embedding Binary Search Tree (HBST) approach for binary Descriptor Matching and Image Retrieval.
HBST allows for descriptor search and insertion in logarithmic time by exploiting particular properties of binary descriptors. We support the idea behind our search structure with a thorough analysis on the exploited descriptor properties and their effects on completeness and complexity of search and insertion.
HBST participa do Encontro dos Coordenadores de Enfermagem/Qualidade da São Camilo – Superintendência Sul
HBST. A C++ implementation of Hidden Binary Search Tree described in in this paper by Saulo Queiroz. HBST maintains its height O (B) = O (log2n), where B is a size of each key in bits.
Feb 26, 2018 · Reliable and efficient Visual Place Recognition is a major building block of modern SLAM systems. Leveraging on our prior work, in this paper we present a Hamming Distance embedding Binary Search Tree (HBST) approach for binary Descriptor Matching and Image Retrieval.
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Feb 26, 2018 · HBST allows for descriptor Search and Insertion in logarithmic time by exploiting particular properties of binary Feature descriptors.
