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Point Cloud Denoising with Principal Component Analysis and a Novel Bilateral Filter

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Bilateral filtering for gray and color images

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Extension of PCA to Higher Order Data Structures: An Introduction to Tensors, Tensor Decompositions, and Tensor PCA

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Junction-Based Correspondence Estimation of Plant Point Cloud Data Using Subgraph Matching

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Region-Aware Image Denoising by Exploring Parameter Preference

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Using Centroidal Voronoi Tessellations to Scale Up the Multidimensional Archive of Phenotypic Elites Algorithm

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Graph-Based Compression of Dynamic 3D Point Cloud Sequences

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Estimation of Gaussian, Poissonian-Gaussian, and Processed Visual Noise and its Level Function

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Iterative Joint Image Demosaicking and Denoising Using a Residual Denoising Network

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A Combined Voxel and Particle Filter-Based Approach for Fast Obstacle Detection and Tracking in Automotive Applications

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Transfer Learning for Image Segmentation by Combining Image Weighting and Kernel Learning

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Graph-Based Static 3D Point Clouds Geometry Coding

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Efficient Registration of High-Resolution Feature Enhanced Point Clouds

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Structured and Unstructured Outlier Identification for Robust PCA: A Fast Parameter Free Algorithm

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Envelope Surface Modeling and Tool Path Optimization for Five-Axis Flank Milling Considering Cutter Runout

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Non-iterative, feature-preserving mesh smoothing

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Bilateral texture filtering

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High-quality streamable free-viewpoint video

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Denoising of three-dimensional point data based on classification of feature information

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Transformer-based Point Cloud Denoising Network

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Principal Component Analysis Based on t-Distribution Hunting Search Algorithm

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Transformer Augmented Multi-Resolution Hash Encoding in Diffusion Model for 3D Point Cloud Denoising

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Point Clouds Denoising Method Based on SPAD Discrete Probability Model and Completion

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A Framework for Synchronous Extraction of Multitype Steel Mesh Features Based on Measured Point Clouds

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Parameter Measurement of Live Animals Based on the Mirror of Multiview Point Cloud

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PD-Contour: A Robust Point Cloud Denoising Network via Contour-Aware 2D Rasterization Loss

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Research on Estimation Method of Geometric Features of Structured Negative Obstacle Based on Single-Frame 3D Laser Point Cloud

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Geometrically guided and confidence-based point cloud denoising

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