BIFNOM: Binary-Coded Features on Normal Maps.
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ABSTRACT:
SUBMITTER: Miyashita L
PROVIDER: S-EPMC8156490 | biostudies-literature | 2021 May
REPOSITORIES: biostudies-literature
Publications
BIFNOM: Binary-Coded Features on Normal Maps.
Miyashita Leo L Nakamura Akihiro A Odagawa Takuto T Ishikawa Masatoshi M
Sensors (Basel, Switzerland) 20210516 10
We propose a novel method for detecting features on normal maps and describing binary features, called BIFNOM, which is three-dimensionally rotation invariant and detects and matches interest points at high speed regardless of whether a target is textured or textureless and rigid or non-rigid. Conventional methods of detecting features on normal maps can also be applied to textureless targets, in contrast with features on luminance images; however, they cannot deal with three-dimensional rotatio ...[more]
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