Point Cloud Quality Assessment Using the Perceptual Clustering Weighted Graph (PCW-Graph) and Attention Fusion Network

No-Reference Point Cloud Quality Assessment (NR-PCQA) is critical for evaluating 3D content in real-world applications where reference models are unavailable.

cs.CV Computer Science Engineering

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Patents near this paper

INFERRING QUALITY IN POINT CLOUD-BASED THREE-DIMENSIONAL OBJECTS USING TOPOGRAPHICAL DATA ANALYSISUS 10,977,861 · UNIVERSITY OF SOUTH FLORIDA · 2021 FULL REFERENCE IMAGE QUALITY ASSESSMENT BASED ON CONVOLUTIONAL NEURAL NETWORKUS 9,741,107 · SONY CORPORATION · 2017 APPARATUS AND METHOD FOR EVALUATING THE QUALITY OF A 3D POINT CLOUDUS 11,361,420 · INTEL CORPORATION · 2022 METHODS AND DEVICES FOR ENCODING AND RECONSTRUCTING A POINT CLOUDUS 11,627,339 · THOMSON LICENSING · 2023 Image Quality Assessment Using Similar Scenes as ReferenceUS 11,100,402 · VMAXX INC. · 2021

Source of record

arXiv