PC-MSDM: A quality metric for 3D point clouds - Archive ouverte HAL
Communication Dans Un Congrès Année : 2019

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

Résumé

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.
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Dates et versions

hal-02162104 , version 1 (21-06-2019)

Identifiants

Citer

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. ⟨10.1109/QoMEX.2019.8743313⟩. ⟨hal-02162104⟩
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