Depth reconstruction or acquisition with a 3-D camera results in a video sequence where each pixel of a frame is annotated with a depth value. We propose an approach to combine this depth information into a 3-D model of the assumedly static scene. For processing of video, we have to satisfy strong requirements on computational and storage efficiency, incremental processing and handling of uncer...

This paper addresses the problem of reconstructing implicit function from point clouds with noise and outliers acquired with 3D scanners. We introduce a filtering operator based on mean shift scheme, which shift each point to local maximum of kernel density function, resulting in suppression of noise with different amplitudes and removal of outliers. The “clean” data points are then divided int...

We present a streaming method for reconstructing surfaces from large data sets generated by a laser range scanner using wavelets. Wavelets provide a localized, multiresolution representation of functions and this makes them ideal candidates for streaming surface reconstruction algorithms. We show how wavelets can be used to reconstruct the indicator function of a shape from a cloud of points wi...

The article presents the development of Spatial Query Language for 3D building and 3D city models. Inspired by the achievements of the GIS community in developing spatial query functionality for 2D space, the author adopted these concepts and applied them on geometric objects in 3D space. The developed query language provides metric (closerThan, fartherThan, etc.), directional (above, below, no...

In this paper we present an algorithm for adaptive resolution integration of 3D data collected from multiple distributed sensors. The input to the algorithm is a set of 3D surface points and associated sensor models. Using a probabilistic rule, a surface probability function is generated that represents the probability that a particular volume of space contains the surface. The surface probabil...

A highly scalable solver framework, based on a linearized octree is presented. It allows for fully distributed computations and avoids special needs on single processes with potential bottlenecks, while enabling simulations with complex geometries. Scaling results on the Cray XE6 system Hermit at HLRS in Stuttgart are presented with runs up to 3072 nodes with 98304 MPI processes. Even with a fu...

Reconstruction of surfaces from huge collections of scanned points often requires out-of-core techniques, and most such techniques involve local computations that are not resilient to data errors. We show that a Poisson-based reconstruction scheme, which considers all points in a global analysis, can be performed efficiently in limited memory using a streaming framework. Specifically, we introd...