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• W2890828937 abstract "In this paper we present an efficient method for aggregating binary feature descriptors to allow compact representation of 3D scene model in incremental structure-from-motion and SLAM applications. All feature descriptors linked with one 3D scene point or landmark are represented by a single low-dimensional real-valued vector called a prototype. The method allows significant reduction of memory required to store and process feature descriptors in large-scale structure-from-motion applications. An efficient approximate nearest neighbours search methods suited for real-valued descriptors, such as FLANN [19], can be used on the resulting prototypes to speed up matching processed frames." @default.
• W2890828937 created "2018-09-27" @default.
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• W2890828937 date "2018-01-01" @default.
• W2890828937 modified "2023-09-24" @default.
• W2890828937 title "Aggregation of Binary Feature Descriptors for Compact Scene Model Representation in Large Scale Structure-from-Motion Applications" @default.
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• W2890828937 doi "https://doi.org/10.1007/978-3-030-00692-1_32" @default.
• W2890828937 hasPublicationYear "2018" @default.
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