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20182021
most cited3D Point Cloud Denoising using Graph Laplacian Regularization of a Low Dimensional Manifold Model

17 citations · 31 across the 7 of their papers we have counts for

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Showing 2018Show all

3 papers · 1 filter

cs.RO2018★ 1 cited

Avalon: Building an Operating System for Robotcenter

Yuan Xu, Zhiyuan Yan, Sa Wang +3

This paper envisions a scenario that hundreds of heterogeneous robots form a robotcenter which can be shared by multiple users and used like a single powerful robot to perform comp…

eess.SP2018★ 12 cited

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…

cs.CV2018★ 17 cited

3D Point Cloud Denoising using Graph Laplacian Regularization of a Low Dimensional Manifold Model

Jin Zeng, Gene Cheung, Michael Ng +2

3D point cloud - a new signal representation of volumetric objects - is a discrete collection of triples marking exterior object surface locations in 3D space. Conventional imperfe…