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Multi-View Stereo and LIDAR for Outdoor Scene Modelling
(2007)International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesIn this paper we want to start the discussion on whether image based3-D modelling techniques and especially multi-view stereo canpossibly be used to replaceLIDARsystems for outdoor 3D data acquisition. Two main issues have to be addressed in this context:(i) camera self-calibration and (ii) dense multi-view depth estimation. To investigate both, we have acquired test data from outdoorscenes withLIDARand cameras. Using theLIDARdata as ...Conference Paper -
Depth and appearance for mobile scene analysis
(2007)2007 IEEE 11th International Conference on Computer VisionIn this paper, we address the challenging problem of simultaneous pedestrian detection and ground-plane estimation from video while walking through a busy pedestrian zone. Our proposed system integrates robust stereo depth cues, ground-plane estimation, and appearance-based object detection in a principled fashion using a graphical model. Object-object occlusions lead to complex interactions in this model that make an exact solution ...Conference Paper -
Efficient mining of frequent and distinctive feature configurations
(2007)2007 IEEE 11th International Conference on Computer VisionWe present a novel approach to automatically find spatial configurations of local features occurring frequently on instances of a given object class, and rarely on the background. The approach is based on computationally efficient data mining techniques and can find frequent configurations among tens of thousands of candidates within seconds. Based on the mined configurations we develop a method to select features which have high probability ...Conference Paper -
Depth-From-Recognition: Inferring Meta-data by Cognitive Feedback
(2007)2007 IEEE 11th International Conference on Computer VisionThanks to recent progress in category-level object recognition, we have now come to a point where these techniques have gained sufficient maturity and accuracy to succesfully feed back their output to other processes. This is what we refer to as cognitive feedback. In this paper, we study one particular form of cognitive feedback, where the ability to recognize objects of a given category is exploited to infer meta-data such as depth cues, ...Conference Paper -
Simultaneous segmentation and 3D reconstruction of monocular image sequences
(2007)2007 IEEE 11th International Conference on Computer VisionWhen trying to extract 3D scene information and camera motion from an image sequence alone, it is often necessary to cope with independently moving objects. Recent research has unveiled some of the mathematical foundations of the problem, but a general and practical algorithm, which can handle long, realistic sequences, is still missing. In this paper, we identify the necessary parts of such an algorithm, highlight both unexplored theoretical ...Conference Paper -
Coupled detection and trajectory estimation for multi-object tracking
(2007)2007 IEEE 11th International Conference on Computer VisionWe present a novel approach for multi-object tracking which considers object detection and spacetime trajectory estimation as a coupled optimization problem. It is formulated in a hypothesis selection framework and builds upon a state-of-the-art pedestrian detector. At each time instant, it searches for the globally optimal set of spacetime trajectories which provides the best explanation for the current image and for all evidence collected ...Conference Paper -
3D challenges and a non-in-depth overview of recent progress
(2007)Proceedings of th Sixth International Conference on 3-D Digital Imaging and Modeling (3DIM 2007)Conference Paper -
Populating ancient pompeii with crowds of virtual romans
(2007)Eurographics symposium proceedings ~ Proceedings of the 8th International Symposium on Virtual Reality, Archeology and Cultural HeritageConference Paper -
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