FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4386066287> ?p ?o ?g. }

• W4386066287 abstract "We present a near real-time (10Hz) method for 6-DoF tracking of an unknown object from a monocular RGBD video sequence, while simultaneously performing neural 3D reconstruction of the object. Our method works for arbi-trary rigid objects, even when visual texture is largely ab-sent. The object is assumed to be segmented in the first frame only. No additional information is required, and no assumption is made about the interaction agent. Key to our method is a Neural Object Field that is learned concurrently with a pose graph optimization process in order to robustly accumulate information into a consistent 3D representation capturing both geometry and appearance. A dynamic pool of posed memory frames is automatically main-tained to facilitate communication between these threads. Our approach handles challenging sequences with large pose changes, partial and full occlusion, untextured surfaces, and specular highlights. We show results on HO3D, YCBInEOAT, and BEHAVE datasets, demonstrating that our method significantly outperforms existing approaches. Project page: https://bundlesdf.github.io/" @default.
• W4386066287 created "2023-08-23" @default.
• W4386066287 creator A5003458289 @default.
• W4386066287 creator A5014707300 @default.
• W4386066287 creator A5028588421 @default.
• W4386066287 creator A5040617006 @default.
• W4386066287 creator A5053871103 @default.
• W4386066287 creator A5056503617 @default.
• W4386066287 creator A5062182459 @default.
• W4386066287 creator A5073763227 @default.
• W4386066287 creator A5090337152 @default.
• W4386066287 date "2023-06-01" @default.
• W4386066287 modified "2023-10-16" @default.
• W4386066287 title "BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects" @default.
• W4386066287 cites W1567556022 @default.
• W4386066287 cites W1938204631 @default.
• W4386066287 cites W1987648924 @default.
• W4386066287 cites W1988874269 @default.
• W4386066287 cites W2009422376 @default.
• W4386066287 cites W2076593519 @default.
• W4386066287 cites W2085261163 @default.
• W4386066287 cites W2097696373 @default.
• W4386066287 cites W2325034626 @default.
• W4386066287 cites W2344474200 @default.
• W4386066287 cites W2566265240 @default.
• W4386066287 cites W2604698059 @default.
• W4386066287 cites W2670684868 @default.
• W4386066287 cites W2778797875 @default.
• W4386066287 cites W2781064046 @default.
• W4386066287 cites W2963188159 @default.
• W4386066287 cites W2963760790 @default.
• W4386066287 cites W2963892972 @default.
• W4386066287 cites W2964226622 @default.
• W4386066287 cites W2967352563 @default.
• W4386066287 cites W2989838178 @default.
• W4386066287 cites W2990747716 @default.
• W4386066287 cites W3034479523 @default.
• W4386066287 cites W3034597466 @default.
• W4386066287 cites W3034712732 @default.
• W4386066287 cites W3035662013 @default.
• W4386066287 cites W3090445473 @default.
• W4386066287 cites W3091357794 @default.
• W4386066287 cites W3095890822 @default.
• W4386066287 cites W3099587965 @default.
• W4386066287 cites W3103648783 @default.
• W4386066287 cites W3107992529 @default.
• W4386066287 cites W3111598592 @default.
• W4386066287 cites W3130138602 @default.
• W4386066287 cites W3151772196 @default.
• W4386066287 cites W3154129649 @default.
• W4386066287 cites W3166285241 @default.
• W4386066287 cites W3170924787 @default.
• W4386066287 cites W3172610252 @default.
• W4386066287 cites W3177069133 @default.
• W4386066287 cites W3180107049 @default.
• W4386066287 cites W3190988267 @default.
• W4386066287 cites W3201312429 @default.
• W4386066287 cites W3202037070 @default.
• W4386066287 cites W3204872899 @default.
• W4386066287 cites W3207142579 @default.
• W4386066287 cites W3215927878 @default.
• W4386066287 cites W4200150166 @default.
• W4386066287 cites W4200408424 @default.
• W4386066287 cites W4214630662 @default.
• W4386066287 cites W4214768561 @default.
• W4386066287 cites W4221151978 @default.
• W4386066287 cites W4224598146 @default.
• W4386066287 cites W4247250903 @default.
• W4386066287 cites W4249736682 @default.
• W4386066287 cites W4281482294 @default.
• W4386066287 cites W4281557677 @default.
• W4386066287 cites W4296900014 @default.
• W4386066287 cites W4312233703 @default.
• W4386066287 cites W4312442755 @default.
• W4386066287 cites W4312693299 @default.
• W4386066287 cites W4312772753 @default.
• W4386066287 cites W4312783246 @default.
• W4386066287 cites W4312878643 @default.
• W4386066287 cites W4313134354 @default.
• W4386066287 doi "https://doi.org/10.1109/cvpr52729.2023.00066" @default.
• W4386066287 hasPublicationYear "2023" @default.
• W4386066287 type Work @default.
• W4386066287 citedByCount "1" @default.
• W4386066287 countsByYear W43860662872023 @default.
• W4386066287 crossrefType "proceedings-article" @default.
• W4386066287 hasAuthorship W4386066287A5003458289 @default.
• W4386066287 hasAuthorship W4386066287A5014707300 @default.
• W4386066287 hasAuthorship W4386066287A5028588421 @default.
• W4386066287 hasAuthorship W4386066287A5040617006 @default.
• W4386066287 hasAuthorship W4386066287A5053871103 @default.
• W4386066287 hasAuthorship W4386066287A5056503617 @default.
• W4386066287 hasAuthorship W4386066287A5062182459 @default.
• W4386066287 hasAuthorship W4386066287A5073763227 @default.
• W4386066287 hasAuthorship W4386066287A5090337152 @default.
• W4386066287 hasConcept C132525143 @default.
• W4386066287 hasConcept C154945302 @default.
• W4386066287 hasConcept C15744967 @default.
• W4386066287 hasConcept C17744445 @default.
• W4386066287 hasConcept C19417346 @default.
• W4386066287 hasConcept C199539241 @default.

• next