Matches in SemOpenAlex for { <https://semopenalex.org/work/W4312519494> ?p ?o ?g. }
- W4312519494 endingPage "183" @default.
- W4312519494 startingPage "166" @default.
- W4312519494 abstract "This paper tackles the task of uncalibrated photometric stereo for 3D object reconstruction, where both the object shape, object reflectance, and lighting directions are unknown. This is an extremely difficult task, and the challenge is further compounded with the existence of the well-known generalized bas-relief (GBR) ambiguity in photometric stereo. Previous methods to resolve this ambiguity either rely on an overly simplified reflectance model, or assume special light distribution. We propose a new method that jointly optimizes object shape, light directions, and light intensities, all under general surfaces and lights assumptions. The specularities are used explicitly to solve uncalibrated photometric stereo via a neural inverse rendering process. We gradually fit specularities from shiny to rough using novel progressive specular bases. Our method leverages a physically based rendering equation by minimizing the reconstruction error on a per-object-basis. Our method demonstrates state-of-the-art accuracy in light estimation and shape recovery on real-world datasets." @default.
- W4312519494 created "2023-01-05" @default.
- W4312519494 creator A5007075649 @default.
- W4312519494 creator A5061507436 @default.
- W4312519494 date "2022-01-01" @default.
- W4312519494 modified "2023-09-30" @default.
- W4312519494 title "Self-calibrating Photometric Stereo by Neural Inverse Rendering" @default.
- W4312519494 cites W1487520337 @default.
- W4312519494 cites W1539790409 @default.
- W4312519494 cites W1566485861 @default.
- W4312519494 cites W1921224077 @default.
- W4312519494 cites W1975089519 @default.
- W4312519494 cites W1978356057 @default.
- W4312519494 cites W2006221045 @default.
- W4312519494 cites W2021398211 @default.
- W4312519494 cites W2025284407 @default.
- W4312519494 cites W2085608034 @default.
- W4312519494 cites W2093366637 @default.
- W4312519494 cites W2097839898 @default.
- W4312519494 cites W2099225574 @default.
- W4312519494 cites W2112417771 @default.
- W4312519494 cites W2115887468 @default.
- W4312519494 cites W2119599035 @default.
- W4312519494 cites W2125478250 @default.
- W4312519494 cites W2125722165 @default.
- W4312519494 cites W2143979639 @default.
- W4312519494 cites W2160160544 @default.
- W4312519494 cites W2160203169 @default.
- W4312519494 cites W2576378358 @default.
- W4312519494 cites W2627000116 @default.
- W4312519494 cites W2736951491 @default.
- W4312519494 cites W2766067961 @default.
- W4312519494 cites W2787460109 @default.
- W4312519494 cites W2798876349 @default.
- W4312519494 cites W2884608015 @default.
- W4312519494 cites W2889383273 @default.
- W4312519494 cites W2894559805 @default.
- W4312519494 cites W2922144044 @default.
- W4312519494 cites W2948619611 @default.
- W4312519494 cites W2990635811 @default.
- W4312519494 cites W2996079392 @default.
- W4312519494 cites W3017337934 @default.
- W4312519494 cites W3039644234 @default.
- W4312519494 cites W3048528006 @default.
- W4312519494 cites W3103075818 @default.
- W4312519494 cites W3109585842 @default.
- W4312519494 cites W3134419943 @default.
- W4312519494 cites W3151597212 @default.
- W4312519494 cites W3194795082 @default.
- W4312519494 cites W3207935323 @default.
- W4312519494 cites W4214564845 @default.
- W4312519494 cites W4225522995 @default.
- W4312519494 cites W4313155048 @default.
- W4312519494 doi "https://doi.org/10.1007/978-3-031-20086-1_10" @default.
- W4312519494 hasPublicationYear "2022" @default.
- W4312519494 type Work @default.
- W4312519494 citedByCount "1" @default.
- W4312519494 countsByYear W43125194942023 @default.
- W4312519494 crossrefType "book-chapter" @default.
- W4312519494 hasAuthorship W4312519494A5007075649 @default.
- W4312519494 hasAuthorship W4312519494A5061507436 @default.
- W4312519494 hasBestOaLocation W43125194942 @default.
- W4312519494 hasConcept C115961682 @default.
- W4312519494 hasConcept C118381688 @default.
- W4312519494 hasConcept C120665830 @default.
- W4312519494 hasConcept C121332964 @default.
- W4312519494 hasConcept C121684516 @default.
- W4312519494 hasConcept C154945302 @default.
- W4312519494 hasConcept C199360897 @default.
- W4312519494 hasConcept C205711294 @default.
- W4312519494 hasConcept C207467116 @default.
- W4312519494 hasConcept C2524010 @default.
- W4312519494 hasConcept C2780522230 @default.
- W4312519494 hasConcept C31972630 @default.
- W4312519494 hasConcept C33923547 @default.
- W4312519494 hasConcept C41008148 @default.
- W4312519494 hasConcept C44365914 @default.
- W4312519494 hasConceptScore W4312519494C115961682 @default.
- W4312519494 hasConceptScore W4312519494C118381688 @default.
- W4312519494 hasConceptScore W4312519494C120665830 @default.
- W4312519494 hasConceptScore W4312519494C121332964 @default.
- W4312519494 hasConceptScore W4312519494C121684516 @default.
- W4312519494 hasConceptScore W4312519494C154945302 @default.
- W4312519494 hasConceptScore W4312519494C199360897 @default.
- W4312519494 hasConceptScore W4312519494C205711294 @default.
- W4312519494 hasConceptScore W4312519494C207467116 @default.
- W4312519494 hasConceptScore W4312519494C2524010 @default.
- W4312519494 hasConceptScore W4312519494C2780522230 @default.
- W4312519494 hasConceptScore W4312519494C31972630 @default.
- W4312519494 hasConceptScore W4312519494C33923547 @default.
- W4312519494 hasConceptScore W4312519494C41008148 @default.
- W4312519494 hasConceptScore W4312519494C44365914 @default.
- W4312519494 hasLocation W43125194941 @default.
- W4312519494 hasLocation W43125194942 @default.
- W4312519494 hasOpenAccess W4312519494 @default.
- W4312519494 hasPrimaryLocation W43125194941 @default.
- W4312519494 hasRelatedWork W1503414886 @default.
- W4312519494 hasRelatedWork W1554604122 @default.