6 citations · 11 across the 7 of their papers we have counts for
6 papers · 1 filter
Point Cloud Objective Quality: Benchmarking Features and Quality Evaluation
Joao Prazeres, Rafael Rodrigues, Manuela Pereira +1
Full-reference point cloud objective metrics are currently providing very accurate representations of perceptual quality. These metrics are usually composed of a set of features th…
Quality Analysis of the Coding Bitrate Tradeoff Between Geometry and Attributes for Colored Point Clouds
Joao Prazeres, Rafael Rodrigues, Manuela Pereira +1
Typically, point cloud encoders allocate a similar bitrate for geometry and attributes (usually RGB color components) information coding. This paper reports a quality study conside…
Performance analysis of Deep Learning-based Lossy Point Cloud Geometry Compression Coding Solutions
Joao Prazeres, Rafael Rodrigues, Manuela Pereira +1
The quality evaluation of three deep learning-based coding solutions for point cloud geometry, notably ADLPCC, PCC GEO CNNv2, and PCGCv2, is presented. The MPEG G-PCC was used as a…
Subjective Quality Evaluation of Point Clouds Using a Head Mounted Display
Joao Prazeres, Rafael Rodrigues, Manuela Pereira +1
This paper reports on a subjective quality evaluation of static point clouds encoded with the MPEG codecs V-PCC and G-PCC, the deep learning-based codec RS-DLPCC, and the popular D…
Objective quality assessment of medical images and videos: Review and challenges
Rafael Rodrigues, Lucie Lévêque, Jesús Gutiérrez +7
Quality assessment is a key element for the evaluation of hardware and software involved in image and video acquisition, processing, and visualization. In the medical field, user-b…
Severity classification in cases of Collagen VI-related myopathy with Convolutional Neural Networks and handcrafted texture features
Rafael Rodrigues, Susana Quijano-Roy, Robert-Yves Carlier +1
Magnetic Resonance Imaging (MRI) is a non-invasive tool for the clinical assessment of low-prevalence neuromuscular disorders. Automated diagnosis methods might reduce the need for…