Matches in SemOpenAlex for { <https://semopenalex.org/work/W2951757200> ?p ?o ?g. }
Showing items 1 to 83 of
83
with 100 items per page.
- W2951757200 abstract "Camera equipped drones are nowadays being used to explore large scenes and reconstruct detailed 3D maps. When free space in the scene is approximately known, an offline planner can generate optimal plans to efficiently explore the scene. However, for exploring unknown scenes, the planner must predict and maximize usefulness of where to go on the fly. Traditionally, this has been achieved using handcrafted utility functions. We propose to learn a better utility function that predicts the usefulness of future viewpoints. Our learned utility function is based on a 3D convolutional neural network. This network takes as input a novel volumetric scene representation that implicitly captures previously visited viewpoints and generalizes to new scenes. We evaluate our method on several large 3D models of urban scenes using simulated depth cameras. We show that our method outperforms existing utility measures in terms of reconstruction performance and is robust to sensor noise." @default.
- W2951757200 created "2019-06-27" @default.
- W2951757200 creator A5020666821 @default.
- W2951757200 creator A5025000908 @default.
- W2951757200 creator A5072006037 @default.
- W2951757200 creator A5075387467 @default.
- W2951757200 creator A5078150431 @default.
- W2951757200 creator A5090341044 @default.
- W2951757200 date "2018-06-27" @default.
- W2951757200 modified "2023-09-23" @default.
- W2951757200 title "Learn-to-Score: Efficient 3D Scene Exploration by Predicting View Utility" @default.
- W2951757200 hasPublicationYear "2018" @default.
- W2951757200 type Work @default.
- W2951757200 sameAs 2951757200 @default.
- W2951757200 citedByCount "0" @default.
- W2951757200 crossrefType "posted-content" @default.
- W2951757200 hasAuthorship W2951757200A5020666821 @default.
- W2951757200 hasAuthorship W2951757200A5025000908 @default.
- W2951757200 hasAuthorship W2951757200A5072006037 @default.
- W2951757200 hasAuthorship W2951757200A5075387467 @default.
- W2951757200 hasAuthorship W2951757200A5078150431 @default.
- W2951757200 hasAuthorship W2951757200A5090341044 @default.
- W2951757200 hasConcept C115961682 @default.
- W2951757200 hasConcept C119857082 @default.
- W2951757200 hasConcept C14036430 @default.
- W2951757200 hasConcept C142362112 @default.
- W2951757200 hasConcept C153349607 @default.
- W2951757200 hasConcept C154945302 @default.
- W2951757200 hasConcept C17744445 @default.
- W2951757200 hasConcept C199539241 @default.
- W2951757200 hasConcept C2776035091 @default.
- W2951757200 hasConcept C2776359362 @default.
- W2951757200 hasConcept C2776999362 @default.
- W2951757200 hasConcept C31972630 @default.
- W2951757200 hasConcept C41008148 @default.
- W2951757200 hasConcept C78458016 @default.
- W2951757200 hasConcept C81363708 @default.
- W2951757200 hasConcept C86803240 @default.
- W2951757200 hasConcept C94625758 @default.
- W2951757200 hasConcept C99498987 @default.
- W2951757200 hasConceptScore W2951757200C115961682 @default.
- W2951757200 hasConceptScore W2951757200C119857082 @default.
- W2951757200 hasConceptScore W2951757200C14036430 @default.
- W2951757200 hasConceptScore W2951757200C142362112 @default.
- W2951757200 hasConceptScore W2951757200C153349607 @default.
- W2951757200 hasConceptScore W2951757200C154945302 @default.
- W2951757200 hasConceptScore W2951757200C17744445 @default.
- W2951757200 hasConceptScore W2951757200C199539241 @default.
- W2951757200 hasConceptScore W2951757200C2776035091 @default.
- W2951757200 hasConceptScore W2951757200C2776359362 @default.
- W2951757200 hasConceptScore W2951757200C2776999362 @default.
- W2951757200 hasConceptScore W2951757200C31972630 @default.
- W2951757200 hasConceptScore W2951757200C41008148 @default.
- W2951757200 hasConceptScore W2951757200C78458016 @default.
- W2951757200 hasConceptScore W2951757200C81363708 @default.
- W2951757200 hasConceptScore W2951757200C86803240 @default.
- W2951757200 hasConceptScore W2951757200C94625758 @default.
- W2951757200 hasConceptScore W2951757200C99498987 @default.
- W2951757200 hasOpenAccess W2951757200 @default.
- W2951757200 hasRelatedWork W2052583664 @default.
- W2951757200 hasRelatedWork W2262769740 @default.
- W2951757200 hasRelatedWork W255162053 @default.
- W2951757200 hasRelatedWork W2585505763 @default.
- W2951757200 hasRelatedWork W2765659515 @default.
- W2951757200 hasRelatedWork W2775867178 @default.
- W2951757200 hasRelatedWork W2788461656 @default.
- W2951757200 hasRelatedWork W2797111496 @default.
- W2951757200 hasRelatedWork W2810956809 @default.
- W2951757200 hasRelatedWork W2908897581 @default.
- W2951757200 hasRelatedWork W2950405180 @default.
- W2951757200 hasRelatedWork W2972165073 @default.
- W2951757200 hasRelatedWork W3039187503 @default.
- W2951757200 hasRelatedWork W3041528151 @default.
- W2951757200 hasRelatedWork W3090464482 @default.
- W2951757200 hasRelatedWork W3091598621 @default.
- W2951757200 hasRelatedWork W3107350173 @default.
- W2951757200 hasRelatedWork W3135799185 @default.
- W2951757200 hasRelatedWork W3173280621 @default.
- W2951757200 hasRelatedWork W3198365737 @default.
- W2951757200 isParatext "false" @default.
- W2951757200 isRetracted "false" @default.
- W2951757200 magId "2951757200" @default.
- W2951757200 workType "article" @default.