12 citations · 12 across the 2 of their papers we have counts for
5 papers
Point Cloud Sampling via Graph Balancing and Gershgorin Disc Alignment
Chinthaka Dinesh, Gene Cheung, Ivan Bajic
3D point cloud (PC) -- a collection of discrete geometric samples of a physical object's surface -- is typically large in size, which entails expensive subsequent operations like v…
3D Point Cloud Super-Resolution via Graph Total Variation on Surface Normals
Chinthaka Dinesh, Gene Cheung, Ivan V. Bajic
Point cloud is a collection of 3D coordinates that are discrete geometric samples of an object's 2D surfaces. Using a low-cost 3D scanner to acquire data means that point clouds ar…
3D Point Cloud Denoising via Bipartite Graph Approximation and Reweighted Graph Laplacian
Chinthaka Dinesh, Gene Cheung, Ivan V. Bajic
Point cloud is a collection of 3D coordinates that are discrete geometric samples of an object's 2D surfaces. Imperfection in the acquisition process means that point clouds are of…
Fast 3D Point Cloud Denoising via Bipartite Graph Approximation & Total Variation
Chinthaka Dinesh, Gene Cheung, Ivan V. Bajic +1
Acquired 3D point cloud data, whether from active sensors directly or from stereo-matching algorithms indirectly, typically contain non-negligible noise. To address the point cloud…
Adaptive Non-Rigid Inpainting of 3D Point Cloud Geometry
Chinthaka Dinesh, Ivan V. Bajic, Gene Cheung
In this letter, we introduce several algorithms for geometry inpainting of 3D point clouds with large holes. The algorithms are examplar-based: hole filling is performed iterativel…