activity
20192023
most citedPoint Cloud Rendering after Coding: Impacts on Subjective and Objective Quality

113 citations · 265 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2023

Automatic Cadastral Boundary Detection of Very High Resolution Images Using Mask R-CNN

Neda Rahimpour Anaraki, Alireza Azadbakht, Maryam Tahmasbi +3

Recently, there has been a high demand for accelerating and improving the detection of automatic cadastral mapping. As this problem is in its starting point, there are many methods…

cs.CV2022

Keypoint Cascade Voting for Point Cloud Based 6DoF Pose Estimation

Yangzheng Wu, Alireza Javaheri, Mohsen Zand +1

We propose a novel keypoint voting 6DoF object pose estimation method, which takes pure unordered point cloud geometry as input without RGB information. The proposed cascaded keypo…

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…

cs.MM2021★ 30 cited

A Point-to-Distribution Joint Geometry and Color Metric for Point Cloud Quality Assessment

Alireza Javaheri, Catarina Brites, Fernando Pereira +1

Point clouds (PCs) are a powerful 3D visual representation paradigm for many emerging application domains, especially virtual and augmented reality, and autonomous vehicles. Howeve…

eess.IV2020★ 34 cited

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★ 88 cited

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…