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- 3D Computer Vision 3D reconstruction Aerial Vision Augmented Reality Augmented Video Best Paper Award Biometrics Caleydo Computational Photography Computer Graphics Computer Vision Convex Optimization Coordinate transformations detection face Fingerprint Georeferencing GPU GUI HOG Human Computer Interaction Image Labelling Industrial Applications Information Visualization integral imaging Interaction Interaction Design Machine Learning Medical computer vision Medical Visualization Mixed Reality Mobile computing Mobile phone Model Multi-Display Environments Multiple Perspectives Object detection Object recognition Object reconstruction Object Tracking On-Line Learning Robotics Segmentation Shape analysis shape from focus SLAM Software Projects Structure from Motion Surveillance SVM Symmetry Tracking Fusion Tracking, Action Recognition User Interfaces Variational Methods Virtual reality and augmented reality Visual Tracking Visualization
3D Paper Structure Analysis
Most technological paper qualities are directly or indirectly influenced by the three-dimensional paper structure which means the spatial arrangement of fibres, fillers, pores and if necessary of the coating. In the area of the structure analysis, two main groups can be distinguished: destructive and non-destructive approaches.
The paper structure analysis methods have to fulfil the following basic requirements. The quality of the 3D data must be high enough to make an exact delimitation between the relevant paper contents possible. Furthermore the spatial resolution must at least lie in the area of a micron. In order to be able to make statistically reasonable statements for the complete paper sample, sizes of the range of at least one square centimetre must be analyzed. To conclude, the time expenditure to the digitalization of the paper sample should also lie within a practicable area of hours.
Primary objective of the project is the detailed analysis of the fibre network structure of a paper sample by means of image analysis methods. Still this application is an extremely complex problem and in this resolution (microns) and sample size (square centimetre) unsolved. Therefore the development of a completely new concept is necessary. This concept should finally make a general assignment of the three-dimensional paper structure to pre-defined paper-ingredients classes possible. As a final result the segmentation of single fibres and their three-dimensional tracking is realizable.