FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2891651041> ?p ?o ?g. }

• W2891651041 endingPage "175" @default.
• W2891651041 startingPage "165" @default.
• W2891651041 abstract "Abstract 3D reconstruction based on structure from motion is one of the most techniques to produce sparse point-cloud model and camera parameter. However, this technique heavily relies on feature tracking method to obtain feature correspondences, then resulting in a heavy computation burden. To speed up 3D reconstruction, in this paper, we design a novel GPU-accelerated feature tracking (GFT) method for large-scale structure from motion (SFM)-based 3D reconstruction. The proposed GFT method consists of GPU-based Gaussian of image (DOG) keypoint detector, RootSIFT descriptor extractor, k nearest matching, and outlier removing. Firstly, our GPU-based DOG implementation can detect thousands of keypoints in real-time, whose speed is 30 times faster than that of the CPU version. Secondly, our GPU-based RootSIFT descriptor can compute thousands of descriptors in real-time. Thirdly, our GPU-based descriptor matching is 10 times faster than that of the state-of-the-art methods. Finally, we conduct thorough experiments on different datasets to evaluate the proposed method. Experimental results demonstrate the effectiveness and efficiency of the proposed method." @default.
• W2891651041 created "2018-09-27" @default.
• W2891651041 creator A5008291669 @default.
• W2891651041 creator A5014898916 @default.
• W2891651041 creator A5017849248 @default.
• W2891651041 creator A5048751740 @default.
• W2891651041 creator A5070592633 @default.
• W2891651041 creator A5071321197 @default.
• W2891651041 date "2019-02-01" @default.
• W2891651041 modified "2023-09-24" @default.
• W2891651041 title "GPU-accelerated feature tracking for 3D reconstruction" @default.
• W2891651041 cites W1602981911 @default.
• W2891651041 cites W1606766208 @default.
• W2891651041 cites W1813335492 @default.
• W2891651041 cites W1836794077 @default.
• W2891651041 cites W1921054364 @default.
• W2891651041 cites W1979931042 @default.
• W2891651041 cites W1981429121 @default.
• W2891651041 cites W1981438696 @default.
• W2891651041 cites W1985238052 @default.
• W2891651041 cites W1986653657 @default.
• W2891651041 cites W1991727946 @default.
• W2891651041 cites W1993336109 @default.
• W2891651041 cites W2001790138 @default.
• W2891651041 cites W2007864137 @default.
• W2891651041 cites W2013472030 @default.
• W2891651041 cites W2028960610 @default.
• W2891651041 cites W2035435214 @default.
• W2891651041 cites W2060772243 @default.
• W2891651041 cites W2064381770 @default.
• W2891651041 cites W2072637632 @default.
• W2891651041 cites W2073454732 @default.
• W2891651041 cites W2073660060 @default.
• W2891651041 cites W2079376982 @default.
• W2891651041 cites W2083822463 @default.
• W2891651041 cites W2084613528 @default.
• W2891651041 cites W2095260419 @default.
• W2891651041 cites W2105303354 @default.
• W2891651041 cites W2106199912 @default.
• W2891651041 cites W2111073598 @default.
• W2891651041 cites W2112634643 @default.
• W2891651041 cites W2115049345 @default.
• W2891651041 cites W2125501610 @default.
• W2891651041 cites W2149345424 @default.
• W2891651041 cites W2151103935 @default.
• W2891651041 cites W2151290401 @default.
• W2891651041 cites W2169633581 @default.
• W2891651041 cites W2211196523 @default.
• W2891651041 cites W2214540232 @default.
• W2891651041 cites W2217143704 @default.
• W2891651041 cites W2462793074 @default.
• W2891651041 cites W2471962767 @default.
• W2891651041 cites W2478778938 @default.
• W2891651041 cites W2498492984 @default.
• W2891651041 cites W2512217521 @default.
• W2891651041 cites W2536680313 @default.
• W2891651041 cites W2539901565 @default.
• W2891651041 cites W2560644659 @default.
• W2891651041 cites W2599692954 @default.
• W2891651041 cites W2738551266 @default.
• W2891651041 cites W2752345995 @default.
• W2891651041 cites W2769969171 @default.
• W2891651041 cites W2788608285 @default.
• W2891651041 cites W2795389793 @default.
• W2891651041 cites W2963821673 @default.
• W2891651041 cites W2964158430 @default.
• W2891651041 cites W3083706479 @default.
• W2891651041 cites W4250459450 @default.
• W2891651041 doi "https://doi.org/10.1016/j.optlastec.2018.08.045" @default.
• W2891651041 hasPublicationYear "2019" @default.
• W2891651041 type Work @default.
• W2891651041 sameAs 2891651041 @default.
• W2891651041 citedByCount "4" @default.
• W2891651041 countsByYear W28916510412019 @default.
• W2891651041 countsByYear W28916510412020 @default.
• W2891651041 countsByYear W28916510412023 @default.
• W2891651041 crossrefType "journal-article" @default.
• W2891651041 hasAuthorship W2891651041A5008291669 @default.
• W2891651041 hasAuthorship W2891651041A5014898916 @default.
• W2891651041 hasAuthorship W2891651041A5017849248 @default.
• W2891651041 hasAuthorship W2891651041A5048751740 @default.
• W2891651041 hasAuthorship W2891651041A5070592633 @default.
• W2891651041 hasAuthorship W2891651041A5071321197 @default.
• W2891651041 hasConcept C121684516 @default.
• W2891651041 hasConcept C138885662 @default.
• W2891651041 hasConcept C153180895 @default.
• W2891651041 hasConcept C154945302 @default.
• W2891651041 hasConcept C15744967 @default.
• W2891651041 hasConcept C19417346 @default.
• W2891651041 hasConcept C2775936607 @default.
• W2891651041 hasConcept C2776401178 @default.
• W2891651041 hasConcept C2987395694 @default.
• W2891651041 hasConcept C31972630 @default.
• W2891651041 hasConcept C41008148 @default.
• W2891651041 hasConcept C41895202 @default.
• W2891651041 hasConceptScore W2891651041C121684516 @default.
• W2891651041 hasConceptScore W2891651041C138885662 @default.
• W2891651041 hasConceptScore W2891651041C153180895 @default.

• next