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This work presents algorithms to resample and filter point cloud data reconstructed from multiple cameras and multiple time instants. In an initial resampling stage, a voxel or a surface mesh based approach resamples the point cloud data into a common sampling grid. Subsequently, the resampled data undergoes a filtering stage based on clustering to remove artifacts and achieve spatiotemporal consistency...
3D-reconstructions produced by active 3D-scanning systems based on structured light can achieve high accuracy reconstructions of the scene surfaces. Structured light algorithms based on phase measuring triangulation (PMT) utilize phase-shifted sinusoidal patterns projected into the scene for a precise determination of correspondencies. The number of patterns used for that purpose may vary depending...
With the increasing spread of accurate and robust video surveillance, applications such as crowd monitoring, people counting and abnormal behavior recognition become ubiquitous.This leads to needs of interactive systems taking into account a high degree of interoperability as well as privacy protection concerns. In this paper we propose a framework based on the ONVIF specification to support the work...
In this paper we present a concept for maintaining the three dimensional aspect ratio of a given 3D image or video upon resizing the viewing window or changing the display size altogether. A stereoscopic 3D scene that is resized horizontally and vertically will appear skewed along the z-axis. That is, the perceptual depth will grow aproportionally because the disparity grows linear with the resizing...
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