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March 3, 2026
Indoor depth completion via geometry processing with RGB image
ZL
Zhenshan Liang
TK
Tsz Ho Kwok
Concordia University
YZ
Yunbo Zhang
Puntos clave
Depth completion is significantly improved using geometry processing techniques with RGB images, enhancing indoor scene analysis.
Results showed a notable accuracy increase, with an overall performance boost reported in 3D reconstructions.
Assessment involves a comprehensive algorithm specifically designed for depth completion in images captured indoors.
These findings indicate that geometry processing methods could lead to more reliable indoor depth estimation, enhancing computer vision applications.
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Liang et al. (Thu,) studied this question.
synapsesocial.com/papers/69a76721badf0bb9e87dfb58
https://doi.org/https://doi.org/10.1016/j.eswa.2026.131519
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Indoor depth completion via geometry processing with RGB image | Synapse