Blue noise sampling of surfaces from stereoscopic images

Video in TIB AV-Portal: Blue noise sampling of surfaces from stereoscopic images

Formal Metadata

Title
Blue noise sampling of surfaces from stereoscopic images
Title of Series
Part Number
25
Number of Parts
31
Author
License
CC Attribution - NoDerivatives 2.0 UK: England & Wales:
You are free to use, copy, distribute and transmit the work or content in unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
Identifiers
Publisher
Release Date
2016
Language
English

Content Metadata

Subject Area
Abstract
We propose an original sampling technique for surfaces generated by stereoscopic acquisition systems. The idea is to make the sampling of these surfaces directly on the pair of stereoscopic images, instead of doing it on the meshes created by triangulation of the point clouds given by the acquisition system. Point clouds are generally dense, and consequently the resulting meshes are oversampled (this is why a re-sampling of the meshes is often done). Moving the sampling stage in the 2D image domain greatly simplifies the classical sampling pipeline, allows to control the number of points from the beginning of the sampling/reconstruction process, and optimizes the size of the generated data. More precisely, we developed a feature-preserving Poisson-disk sampling technique applied to the 2D image domain - which can be seen as a parameterization domain - with inter-sample distances still computed in the 3D space, to reduce the distortion due the embedding in R^3. Experimental results show that our method generates 3D sampling patterns with nice blue noise properties in R^3 (comparable to direct 3D sampling methods), while keeping the geometrical features of the scanned surface. © 2016, Society for Imaging Science and Technology (IS&T).
Feedback