Fast and robust binary descriptor using intensity rank binning
Sign Up to like & getrecommendations! Published in 2017 at "Electronics Letters"
DOI: 10.1049/el.2016.0863
Abstract: Binary descriptors have been shown to be computationally efficient while their recognition rate is poorer than that of floating-point descriptors. A method of improving both the recognition rate and the speed of computation for thresholded… read more here.
Keywords: descriptor; recognition rate; intensity rank; binary descriptors ... See more keywords
Fast, Compact, and Discriminative: Evaluation of Binary Descriptors for Mobile Applications
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2016.2615521
Abstract: Local feature descriptors underpin many diverse applications, supporting object recognition, image registration, database search, 3D reconstruction, and more. The recent phenomenal growth in mobile devices and mobile computing in general has created demand for descriptors… read more here.
Keywords: compact discriminative; fast compact; evaluation binary; evaluation ... See more keywords
Learning Deep Binary Descriptors via Bitwise Interaction Mining
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2022.3161600
Abstract: In this paper, we propose a GraphBit method to learn unsupervised deep binary descriptors for efficient image representation. Conventional binary representation learning methods directly quantize each element according to the threshold without considering the quantization… read more here.
Keywords: interaction; binary descriptors; deep binary; graphbit ... See more keywords