Alireza Javaheri
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View article: Automatic Cadastral Boundary Detection of Very High Resolution Images Using Mask R-CNN
Automatic Cadastral Boundary Detection of Very High Resolution Images Using Mask R-CNN Open
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 of computer vision and deep learning that have not been co…
View article: Keypoint Cascade Voting for Point Cloud Based 6DoF Pose Estimation
Keypoint Cascade Voting for Point Cloud Based 6DoF Pose Estimation Open
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 keypoint voting method, called RCVPose3D, is based upon a novel …
View article: Joint Geometry and Color Projection-Based Point Cloud Quality Metric
Joint Geometry and Color Projection-Based Point Cloud Quality Metric Open
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 reliable objective quality metrics to evaluate the level o…
View article: A Point-to-Distribution Joint Geometry and Color Metric for Point Cloud Quality Assessment
A Point-to-Distribution Joint Geometry and Color Metric for Point Cloud Quality Assessment Open
Point clouds (PCs) are a powerful 3D visual representation paradigm for many\nemerging application domains, especially virtual and augmented reality, and\nautonomous vehicles. However, the large amount of PC data required for highly\nimmer…
View article: Joint Geometry and Color Projection-based Point Cloud Quality Metric
Joint Geometry and Color Projection-based Point Cloud Quality Metric Open
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 reliable objective quality metrics to evaluate the level o…
View article: Joint Geometry and Color Projection-based Point Cloud Quality Metric
Joint Geometry and Color Projection-based Point Cloud Quality Metric Open
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 reliable objective quality metrics to evaluate the level o…
View article: Joint Geometry and Color Projection-based Point Cloud Quality Metric
Joint Geometry and Color Projection-based Point Cloud Quality Metric Open
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 reliable objective quality metrics to evaluate the level o…
View article: A Point-to-Distribution Joint Geometry and Color Metric for Point Cloud Quality Assessment
A Point-to-Distribution Joint Geometry and Color Metric for Point Cloud Quality Assessment Open
Point clouds (PCs) are a powerful 3D visual representation paradigm for many emerging application domains, especially virtual and augmented reality, and autonomous vehicles. However, the large amount of PC data required for highly immersiv…
View article: Point Cloud Rendering After Coding: Impacts on Subjective and Objective Quality
Point Cloud Rendering After Coding: Impacts on Subjective and Objective Quality Open
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 imaging sensors have made easier to perform richer and dens…
View article: A Generalized Hausdorff Distance Based Quality Metric for Point Cloud Geometry
A Generalized Hausdorff Distance Based Quality Metric for Point Cloud Geometry Open
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 quality of experience. This paper proposes a novel point cl…