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Detection and Simulation of Dangerous Human Crowd Behavior
(2013-01-09)
Tragically, gatherings of large human crowds quite often end in crowd disasters such as the recent catastrophe at the Loveparade 2010. In the past, research on pedestrian and crowd dynamics focused on simulation of pedestrian ...
Robust Wide-Baseline Stereo Matching for Sparsely Textured Scenes
(2011-08-19)
The task of wide baseline stereo matching algorithms is to identify corresponding elements in pairs of overlapping images taken from significantly different viewpoints. Such algorithms are a key ingredient to many computer ...
Grouping Uncertain Oriented Projective Geometric Entities with Application to Automatic Building Reconstruction
(2007)
The fully automatic reconstruction of 3d scenes from a set of 2d images has always been a key issue in photogrammetry and computer vision and has not been solved satisfactory so far. Most of the current approaches match ...
Data-Driven Analysis and Interpolation of Optical Material Properties
(2015-05-11)
Reproducing the characteristic appearance of materials digitally is of considerable importance for the creation of photo-realistic images. However, due to the high complexity of many real-world materials, modeling them ...
Robust Wide-Baseline Stereo Matching for Sparsely Textured Scenes
(2013)
The task of wide baseline stereo matching algorithms is to identify corresponding elements in pairs of overlapping images taken from significantly different viewpoints. Such algorithms are a key ingredient to many computer ...
Efficient Dense Registration, Segmentation, and Modeling Methods for RGB-D Environment Perception
(2014-12-12)
One perspective for artificial intelligence research is to build machines that perform tasks autonomously in our complex everyday environments. This setting poses challenges to the development of perception skills: A robot ...
Methods for Learning Structured Prediction in Semantic Segmentation of Natural Images
(2014-09-15)
Automatic segmentation and recognition of semantic classes in natural images is an important open problem in computer vision. In this work, we investigate three different approaches to recognition: without supervision, ...
3D Hand Pose Estimation from Single RGB Images with Auxiliary Information
(2022-12-14)
3D hand pose estimation from monocular RGB inputs is critical for augmented and virtual reality applications, and has achieved remarkable progress due to the revolution of deep learning. Existing deep-learning-based hand ...
Scalable 3D Reconstruction for Immersive Virtual Reality Applications
(2022-12-19)
The recent advances in Augmented Reality (AR) and Virtual Reality (VR) technology and their growing popularity in the past years has significantly influenced emerging trends towards more intuitive and user-centric applications ......