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Sparse depth densification for monocular depth estimation
Multimedia Tools and Applications, 2023Zhen Liang +3 more
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Noise Analysis for Depth Estimation
2007Depth estimation is an important parameter for three-dimensional shape recovery. There are many factors affecting the depth estimation including luminance, texture reflectance, noise etc. In this paper, we limit our discussion to noise. We present noise analysis by first pre-filtering the noisy images using well known Wiener filter and then using a ...
Aamir Saeed Malik, Tae-Sun Choi
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Depth Estimation Using Sparse Depth and Transformer
2022Roopak Malik +2 more
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Monocular Depth Estimation: A Survey
IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society, 2023Dong Wang 0051 +5 more
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Deep learning for monocular depth estimation: A review
Neurocomputing, 2021Yue Ming, Hui Yu, Chunxiao Fan
exaly
Scale-Controlled Sulcal Depth Estimation
2024 IEEE International Symposium on Biomedical Imaging (ISBI)The complex brain morphology emerges from intricate growth and folding processes during development. Sulcal depth is a shape descriptor particularly relevant to characterize brain development and variations, but the potential influence of global brain size is not controlled in existing estimation techniques.
Dieudonne, M., Auzias, G., Lefevre, J.
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Monocular Depth Estimation Using Laplacian Pyramid-Based Depth Residuals
IEEE Transactions on Circuits and Systems for Video Technology, 2021Wonjun Kim, Seokjae Lim, Minsoo Song
exaly
TriHorn-Net: A model for accurate depth-based 3D hand pose estimation
Expert Systems With Applications, 2023Razieh Rastgoo +2 more
exaly