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Challenges of Depth Estimation for Transparent Objects
2023Transparent objects and surfaces are pervasive in man-made environments and need to be considered in any vision system. Accurate depth data is a key factor for such systems reliability, requiring transparency to be inferred, due to the sensing challenges.
Jean-Baptiste Weibel +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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Densely Connecting Depth Maps for Monocular Depth Estimation
2020Predicting depth map from a single RGB image is beneficial for many three-dimensional applications. Although recent monocular depth estimation methods have achieved impressive accuracy, the preference on high-level features or low-level features prevents them from balancing sharpness and fidelity of depth maps.
Jinqing Zhang +4 more
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Sparse depth densification for monocular depth estimation
Multimedia Tools and Applications, 2023Zhen Liang +3 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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Depth Estimation Using Sparse Depth and Transformer
2022Roopak Malik +2 more
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Histological estimation of the depth of burning
British Journal of Plastic Surgery, 1963A V, FORAGE, J, BOUTON, J H, JOHNSTON
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