On the performance of metrics to predict quality in point cloud representations-Reference-Cited by-同舟云学术

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On the performance of metrics to predict quality in point cloud representations

Published:2017-09-19 Issue: Volume: Page:
ISSN:
Container-title:Applications of Digital Image Processing XL
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Author:

Ebrahimi Touradj,Alexiou Evangelos

Publisher

SPIE

Reference29 articles.

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2. Consumer Depth Cameras for Computer Vision

3. MC3d: Motion contrast 3d scanning;Matsuda,2015

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5. KinectFusion: Real-time dense surface mapping and tracking;Newcombe;Mixed and augmented reality (ISMAR),2011

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1. Textured Mesh Quality Assessment: Large-scale Dataset and Deep Learning-based Quality Metric;ACM Transactions on Graphics;2023-06-05

2. Multi feature-rich synthetic colour to improve human visual perception of point clouds;ISPRS Journal of Photogrammetry and Remote Sensing;2023-02

3. Progressive Tree-Based Compression of Large-Scale Particle Data;IEEE Transactions on Visualization and Computer Graphics;2023

4. Influence of Spatial Rendering on the Performance of Point Cloud Objective Quality Metrics;2022 10th European Workshop on Visual Information Processing (EUVIP);2022-09-11

5. No-Reference Point Cloud Quality Assessment via Domain Adaptation;2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2022-06

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