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

Alexiou, Evangelos; Ebrahimi, Touradj

doi:10.1117/12.2275142

Cited by 20 publications

(20 citation statements)

References 21 publications

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“…Alexiou et al [12,13] proposed interactive variants of existing evaluation methodologies in a desktop set-up to assess the quality of geometry-only point cloud models. In both studies, Gaussian noise and octree-pruning was employed to simulate position errors from sensor inaccuracies and compression artifacts, respectively, to account for degradations of different nature.…”

Section: A) Subjective Quality Assessmentmentioning

confidence: 99%

A comprehensive study of the rate-distortion performance in MPEG point cloud compression

Alexiou

Viola

Borges

et al. 2019

SIP

Self Cite

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Recent trends in multimedia technologies indicate the need for richer imaging modalities to increase user engagement with the content. Among other alternatives, point clouds denote a viable solution that offers an immersive content representation, as witnessed by current activities in JPEG and MPEG standardization committees. As a result of such efforts, MPEG is at the final stages of drafting an emerging standard for point cloud compression, which we consider as the state-of-the-art. In this study, the entire set of encoders that have been developed in the MPEG committee are assessed through an extensive and rigorous analysis of quality. We initially focus on the assessment of encoding configurations that have been defined by experts in MPEG for their core experiments. Then, two additional experiments are designed and carried to address some of the identified limitations of current approach. As part of the study, state-of-the-art objective quality metrics are benchmarked to assess their capability to predict visual quality of point clouds under a wide range of radically different compression artifacts. To carry the subjective evaluation experiments, a web-based renderer is developed and described. The subjective and objective quality scores along with the rendering software are made publicly available, to facilitate and promote research on the field.

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Section: A) Subjective Quality Assessmentmentioning

confidence: 99%

A comprehensive study of the rate-distortion performance in MPEG point cloud compression

Alexiou

Viola

Borges

et al. 2019

SIP

Self Cite

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“…Quality assessment of 3D point-clouds has been focusing mostly on points-clouds that were acquired under a controlled environment, where well defined objects can be positioned or used (Alexiou and Ebrahimi, 2017;Ebrahimi and Alexiou, 2017;Zhang et al, 2015). Quality is usually assessed by subjective and objective metrics.…”

Section: Quality Metricsmentioning

confidence: 99%

Evaluating the Quality of Photogrammetric Point-Clouds in Challenging Geo-Environments – A Case Study in an Alpine Valley

Karantanellis

Arav

Dille

et al. 2020

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. Precise and accurate three-dimensional geospatial data has become increasingly available thanks to advances in both Terrestrial Laser Scanning (TLS) and Structure-from-Motion Photogrammetry (SfM). These tools provide valuable information for mapping geomorphological features and detect surface changes in mountainous environments. The exploitation of 3D point-clouds has been proven tremendously useful in the field of geosciences. It remains, however, controversial whether cost efficient photogrammetry can provide as accurate and reliable geospatial information as the significantly more expensive laser scanning or not. In this study, a rockfall case site in the territory of Obergurgl, Austria, is investigated in order to provide answers to the above question in a complex environment. The analysis includes different terrestrial photogrammetry configurations aiming to comprehensively define the strengths and limitations of terrestrial photogrammetry over TLS. The latter constitutes an optimized methodology that provides guidelines for costly future assessments as part of the site investigation phase in geohazard management. There are no doubts that compared to traditional and conventional surveying methods TLS and Photogrammetry both offer products much faster and with a much higher data density. In the current study, we show that when photogrammetry is applied following a well-defined optimized strategy, it can be potentially an adequate alternative to more costly TLS datasets for mass movement assessment and monitoring purposes.

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“…mean opinion scores (MOS) from distorted stimuli obtained through a subjective experiment. To the best of our knowledge, these exist only one publicly-available subject-rated database of 3D point clouds [19] 1 . This database was originally created at the Multimedia Signal Processing Group from EPFL [19] and further enriched [20].…”

Section: B Performance Evaluationmentioning

confidence: 99%

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

Meynet

Digne

Lavoué

2019

2019 Eleventh International Conference on Quality of Multimedia Experience (QoMEX)

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

Cited by 20 publications

References 21 publications

A comprehensive study of the rate-distortion performance in MPEG point cloud compression

A comprehensive study of the rate-distortion performance in MPEG point cloud compression

Evaluating the Quality of Photogrammetric Point-Clouds in Challenging Geo-Environments – A Case Study in an Alpine Valley

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

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