Filtering with clouds

Filtering with clouds

Selecting a particular kernel to filter a given digital signal can be a difficult task. One solution to solve this difficulty is to filter with multiple kernels. However, this solution can be computationally costly. Using the fact that most kernels used for low-pass signal filtering can be assimilated to probability distributions (or linear combinations of probability distributions), we propose...

Kernel Density Filtering for Noisy Point Clouds in One Step

We present a method for filtering noisy point clouds, specifically those constructed from merged depth maps as obtained from a range scanner or multiple view stereo (MVS), applying techniques that have previously been used in finding outliers in clustered data, but not in MVS or range scanning. We estimate the probability density function (PDF) over the space of observed points via a technique ...

Thinner Clouds with Preallocation

Different companies sharing the same cloud infrastructure often prefer to run their virtual machines (VMs) in isolation, i.e., one VM per physical machine (PM) core, due to security and efficiency concerns. To accommodate load spikes, e.g., those caused by flash-crowds, each service is allocated more machines than necessary for its instantaneous load. However, flash-crowds of different hosted s...

Filtering of Tls Point Clouds for the Generation of Dtm in Salt-marsh Areas

Marshes are ubiquitous landforms in estuaries and lagoons, where important hydrological, morphological and ecological processes take place. These areas attenuate sea action on the coast and act as sediment trapping zones. Due to their ecosystem functions and effects on coastal stabilization, marshes are crucial structures in tidal environments, both biologically and geomorphologically, and fund...

While Mobile Encounters with Clouds