activity
20192021
most citedLenslet Light Field Image Coding: Classifying, Reviewing and Evaluating

28 citations · 28 across the 2 of their papers we have counts for

collaborators

5 papers

eess.IV2021

Joint Geometry and Color Projection-based Point Cloud Quality Metric

Alireza Javaheri, Catarina Brites, Fernando Pereira +1

Point cloud coding solutions have been recently standardized to address the needs of multiple application scenarios. The design and assessment of point cloud coding methods require…

eess.IV2020

Improving PSNR-based Quality Metrics Performance For Point Cloud Geometry

Alireza Javaheri, Catarina Brites, Fernando Pereira +1

An increased interest in immersive applications has drawn attention to emerging 3D imaging representation formats, notably light fields and point clouds (PCs). Nowadays, PCs are on…

eess.IV2020

A generalized Hausdorff distance based quality metric for point cloud geometry

Alireza Javaheri, Catarina Brites, Fernando Pereira +1

Reliable quality assessment of decoded point cloud geometry is essential to evaluate the compression performance of emerging point cloud coding solutions and guarantee some target…

eess.IV202028 cited

Lenslet Light Field Image Coding: Classifying, Reviewing and Evaluating

Catarina Brites, João Ascenso, Fernando Pereira

In recent years, visual sensors have been quickly improving, notably targeting richer acquisitions of the light present in a visual scene. In this context, the so-called lenslet li…

eess.IV2019

Point Cloud Rendering after Coding: Impacts on Subjective and Objective Quality

Alireza Javaheri, Catarina Brites, Fernando Pereira +1

Recently, point clouds have shown to be a promising way to represent 3D visual data for a wide range of immersive applications, from augmented reality to autonomous cars. Emerging…