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   Articles with "normal estimation" as a keyword



Multivariate normal estimation: the case (n < p)

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recommendations! Published in 2018 at "Communications in Statistics - Theory and Methods"

DOI: 10.1080/03610926.2017.1316405

Abstract: ABSTRACT Estimation in the multivariate context when the number of observations available is less than the number of variables is a classical theoretical problem. In order to ensure estimability, one has to assume certain constraints… read more here.

Keywords: methodology; estimation; multivariate normal; case ... See more keywords

PDN-Net: Multisensor Prior-Guided Joint Learning for Depth and Normal Estimation

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recommendations! Published in 2025 at "IEEE Sensors Journal"

DOI: 10.1109/jsen.2025.3593934

Abstract: Depth and surface normal estimation are fundamental to 3-D scene understanding, providing global structure and local geometric details. However, current methods often struggle with sensor limitations, leading to noisy or incomplete data, and fail to… read more here.

Keywords: pdn net; joint learning; normal estimation; multisensor prior ... See more keywords

QRNet: Quaternion-Based Refinement Network for Surface Normal Estimation

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recommendations! Published in 2025 at "IEEE Transactions on Multimedia"

DOI: 10.1109/tmm.2025.3535299

Abstract: In recent years, there has been a notable increase in interest in image-based surface normal estimation. These approaches are capable of predicting the surface normal of real scenes using only an image, thereby facilitating a… read more here.

Keywords: normal estimation; quaternion based; surface normal; surface ... See more keywords

Contrastive Learning for Joint Normal Estimation and Point Cloud Filtering

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recommendations! Published in 2022 at "IEEE transactions on visualization and computer graphics"

DOI: 10.1109/tvcg.2023.3263866

Abstract: Point cloud filtering and normal estimation are two fundamental research problems in the 3D field. Existing methods usually perform normal estimation and filtering separately and often show sensitivity to noise and/or inability to preserve sharp… read more here.

Keywords: point cloud; cloud filtering; normal estimation; contrastive learning ... See more keywords

PFF-Net: Patch Feature Fitting for Point Cloud Normal Estimation.

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recommendations! Published in 2025 at "IEEE transactions on visualization and computer graphics"

DOI: 10.1109/tvcg.2025.3638450

Abstract: Estimating the normal of a point requires constructing a local patch to provide center-surrounding context, but determining the appropriate neighborhood size is difficult when dealing with different data or geometries. Existing methods commonly employ various… read more here.

Keywords: patch; patch feature; point; feature ... See more keywords