RGB-Guided Depth Map Recovery by Two-Stage Coarse-to-fine Dense CRF Models

Depth maps generally suffer from large erroneous areas even in public RGB-Depth datasets. Existing learning-based depth recovery methods are limited by insufficient high-quality datasets and optimization-based methods generally depend on local contexts not to effectively correct large erroneous area...

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Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - PP(2023) vom: 13. Feb.
1. Verfasser: Wang, Haotian (VerfasserIn)
Weitere Verfasser: Yang, Meng, Zhu, Ce, Zheng, Nanning
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2023
Zugriff auf das übergeordnete Werk:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Schlagworte:Journal Article