Matches in SemOpenAlex for { <https://semopenalex.org/work/W3204197744> ?p ?o ?g. }
Showing items 1 to 74 of
74
with 100 items per page.
- W3204197744 abstract "Camera calibration is a necessity in various tasks including 3D reconstruction, hand-eye coordination for a robotic interaction, autonomous driving, etc. In this work we propose a novel method to predict extrinsic (baseline, pitch, and translation), intrinsic (focal length and principal point offset) parameters using an image pair. Unlike existing methods, instead of designing an end-to-end solution, we proposed a new representation that incorporates camera model equations as a neural network in a multi-task learning framework. We estimate the desired parameters via novel camera projection loss (CPL) that uses the camera model neural network to reconstruct the 3D points and uses the reconstruction loss to estimate the camera parameters. To the best of our knowledge, ours is the first method to jointly estimate both the intrinsic and extrinsic parameters via a multi-task learning methodology that combines analytical equations in learning framework for the estimation of camera parameters. We also proposed a novel CVGL Camera Calibration dataset using CARLA Simulator [1]. Empirically, we demonstrate that our proposed approach achieves better performance with respect to both deep learning-based and traditional methods on 8 out of 10 parameters evaluated using both synthetic and real data. Our code and generated dataset are available at https://github.com/thanif/Camera-Calibration-through-Camera-Projection-Loss." @default.
- W3204197744 created "2021-10-11" @default.
- W3204197744 creator A5017348058 @default.
- W3204197744 creator A5028557768 @default.
- W3204197744 date "2022-05-23" @default.
- W3204197744 modified "2023-09-23" @default.
- W3204197744 title "Camera Calibration Through Camera Projection Loss" @default.
- W3204197744 cites W2105680090 @default.
- W3204197744 cites W2117539524 @default.
- W3204197744 cites W2183341477 @default.
- W3204197744 cites W2294109271 @default.
- W3204197744 cites W2606042658 @default.
- W3204197744 cites W2903345161 @default.
- W3204197744 cites W2962833508 @default.
- W3204197744 cites W2963404738 @default.
- W3204197744 cites W2982438521 @default.
- W3204197744 cites W3009394976 @default.
- W3204197744 doi "https://doi.org/10.1109/icassp43922.2022.9746819" @default.
- W3204197744 hasPublicationYear "2022" @default.
- W3204197744 type Work @default.
- W3204197744 sameAs 3204197744 @default.
- W3204197744 citedByCount "0" @default.
- W3204197744 crossrefType "proceedings-article" @default.
- W3204197744 hasAuthorship W3204197744A5017348058 @default.
- W3204197744 hasAuthorship W3204197744A5028557768 @default.
- W3204197744 hasBestOaLocation W32041977442 @default.
- W3204197744 hasConcept C105795698 @default.
- W3204197744 hasConcept C110898773 @default.
- W3204197744 hasConcept C11413529 @default.
- W3204197744 hasConcept C154945302 @default.
- W3204197744 hasConcept C165838908 @default.
- W3204197744 hasConcept C175291020 @default.
- W3204197744 hasConcept C199360897 @default.
- W3204197744 hasConcept C199996500 @default.
- W3204197744 hasConcept C31972630 @default.
- W3204197744 hasConcept C33923547 @default.
- W3204197744 hasConcept C41008148 @default.
- W3204197744 hasConcept C50644808 @default.
- W3204197744 hasConcept C57493831 @default.
- W3204197744 hasConcept C679329 @default.
- W3204197744 hasConcept C94816000 @default.
- W3204197744 hasConceptScore W3204197744C105795698 @default.
- W3204197744 hasConceptScore W3204197744C110898773 @default.
- W3204197744 hasConceptScore W3204197744C11413529 @default.
- W3204197744 hasConceptScore W3204197744C154945302 @default.
- W3204197744 hasConceptScore W3204197744C165838908 @default.
- W3204197744 hasConceptScore W3204197744C175291020 @default.
- W3204197744 hasConceptScore W3204197744C199360897 @default.
- W3204197744 hasConceptScore W3204197744C199996500 @default.
- W3204197744 hasConceptScore W3204197744C31972630 @default.
- W3204197744 hasConceptScore W3204197744C33923547 @default.
- W3204197744 hasConceptScore W3204197744C41008148 @default.
- W3204197744 hasConceptScore W3204197744C50644808 @default.
- W3204197744 hasConceptScore W3204197744C57493831 @default.
- W3204197744 hasConceptScore W3204197744C679329 @default.
- W3204197744 hasConceptScore W3204197744C94816000 @default.
- W3204197744 hasLocation W32041977441 @default.
- W3204197744 hasLocation W32041977442 @default.
- W3204197744 hasOpenAccess W3204197744 @default.
- W3204197744 hasPrimaryLocation W32041977441 @default.
- W3204197744 hasRelatedWork W134379525 @default.
- W3204197744 hasRelatedWork W1520531247 @default.
- W3204197744 hasRelatedWork W1973271280 @default.
- W3204197744 hasRelatedWork W2113927957 @default.
- W3204197744 hasRelatedWork W2158362613 @default.
- W3204197744 hasRelatedWork W2171038604 @default.
- W3204197744 hasRelatedWork W2786259915 @default.
- W3204197744 hasRelatedWork W2793501283 @default.
- W3204197744 hasRelatedWork W2965459813 @default.
- W3204197744 hasRelatedWork W985755198 @default.
- W3204197744 isParatext "false" @default.
- W3204197744 isRetracted "false" @default.
- W3204197744 magId "3204197744" @default.
- W3204197744 workType "article" @default.