4 papers · 1 filter
Towards joint graph learning and sampling set selection from data
Shashank N. Sridhara, Eduardo Pavez, Antonio Ortega
We explore the problem of sampling graph signals in scenarios where the graph structure is not predefined and must be inferred from data. In this scenario, existing approaches rely…
Color-Guided Flying Pixel Correction in Depth Images
Ekamresh Vasudevan, Shashank N. Sridhara, Eduardo Pavez +3
We present a novel method to correct flying pixels within data captured by Time-of-flight (ToF) sensors. Flying pixel (FP) artifacts occur when signals from foreground and backgrou…
Graph-based Scalable Sampling of 3D Point Cloud Attributes
Shashank N. Sridhara, Eduardo Pavez, Ajinkya Jayawant +3
3D Point clouds (PCs) are commonly used to represent 3D scenes. They can have millions of points, making subsequent downstream tasks such as compression and streaming computational…
Full reference point cloud quality assessment using support vector regression
Ryosuke Watanabe, Shashank N. Sridhara, Haoran Hong +4
Point clouds are a general format for representing realistic 3D objects in diverse 3D applications. Since point clouds have large data sizes, developing efficient point cloud compr…