PC-MSDM: A quality metric for 3D point clouds

Gabriel Meynet 1 Julie Digne 2 Guillaume Lavoué 1
1 M2DisCo - Geometry Processing and Constrained Optimization
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
2 GeoMod - Modélisation Géométrique, Géométrie Algorithmique, Fractales
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
Abstract : In this paper, we present PC-MSDM, an objective metric for visual quality assessment of 3D point clouds. This full-reference metric is based on local curvature statistics and can be viewed as an extension for point clouds of the MSDM metric suited for 3D meshes. We evaluate its performance on an open subjective dataset of point clouds compressed by octree pruning; results show that the proposed metric outperforms its counterparts in terms of correlation with mean opinion scores.
Complete list of metadatas

Cited literature [20 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-02162104
Contributor : Gabriel Meynet <>
Submitted on : Friday, June 21, 2019 - 2:02:27 PM
Last modification on : Tuesday, June 25, 2019 - 1:46:38 AM

File

PCMSDM-QOMEX2019-preprint.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-02162104, version 1

Citation

Gabriel Meynet, Julie Digne, Guillaume Lavoué. PC-MSDM: A quality metric for 3D point clouds. 11th International Conference on Quality of Multimedia Experience (QoMEX 2019), Jun 2019, Berlin, Germany. ⟨hal-02162104⟩

Share

Metrics

Record views

144

Files downloads

109