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3D Reconstruction of architectural scenes from uncalibrated video sequences
(2009)International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesIn this paper we present a system for three-dimensional reconstruction of architectural scenes from uncalibrated videos. These videosmight be recorded using hand-held cameras, downloaded from the internet or taken from archival sources. Because we do not requireprior knowledge of the camera’s internal parameters such as focal length, center of projection, and radial distortion we can deal withvideos from uncontrolled sources. We present ...Conference Paper -
Visual Word based Location Recognition in 3D models using Distance Augmented Weighting
(2008)Fourth International Symposium on 3D Data Processing, Visualization and Transmission : ProceedingsConference Paper -
Image localization in satellite imagery with feature-based indexing
(2008)International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ~ XXIst ISPRS Congress: Technical Commission IIIThis paper presents a method to index ortho-map databases with image-based features and search a map database for regions that matchquery images of unknown scales and rotations. The proposed method uses image-based features to index the 2D map locations. Imagefeature extractors normally generate features with location, orientation, shape, and a descriptor for normalized image patch. In a mapdatabase, the geographical location, orientation ...Conference Paper -
Real-Time Video-Based Reconstruction of Urban Environments
(2007)International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesWe present an approach for automatic 3D reconstruction of outdoor scenes using computer vision techniques. Our system collectsvideo, GPS and INS data which are processed in real-time to produce geo-registered, detailed 3D models that represent the geometryand appearance of the world. These models are generated without manual measurements or markers in the scene and can be used forvisualization from arbitrary viewpoints, documentation and ...Conference Paper -
Real-time visibility-based fusion of depth maps
(2007)2007 IEEE 11th International Conference on Computer VisionWe present a viewpoint-based approach for the quick fusion of multiple stereo depth maps. Our method selects depth estimates for each pixel that minimize violations of visibility constraints and thus remove errors and inconsistencies from the depth maps to produce a consistent surface. We advocate a two-stage process in which the first stage generates potentially noisy, overlapping depth maps from a set of calibrated images and the second ...Conference Paper -
Structure from Motion via a Two-Stage Pipeline of Extended Kalman Filters
(2007)British Machine Vision Conference 2007Conference Paper -
A new minimal solution to the relative pose of a calibrated stereo camera with small field of view overlap
(2009)2009 IEEE 12th International Conference on Computer VisionConference Paper -
Evaluation of Large Scale Scene Reconstruction
(2007)2007 IEEE 11th International Conference on Computer VisionWe present an evaluation methodology and data for large scale video-based 3D reconstruction. We evaluate the effects of several parameters and draw conclusions that can be useful for practical systems operating in uncontrolled environments Unlike the benchmark datasets used for the binocular stereo and multi-view reconstruction evaluations, which were collected under well-controlled conditions, our datasets are captured outdoors using ...Conference Paper -
Differential Camera Tracking through Linearizing the Local Appearance Manifold
(2007)Computer Vision and Pattern Recognition (CVPR '07)Conference Paper -
Joint Feature Tracking and Radiometric Calibration from Auto-Exposure Video
(2007)2007 IEEE 11th International Conference on Computer VisionTo capture the full brightness range of natural scenes, cameras automatically adjust the exposure value which causes the brightness of scene points to change from frame to frame. Given such a video sequence, we introduce a new method for tracking features and estimating the radiometric response function of the camera and the exposure difference between frames simultaneously. We model the global and nonlinear process that is responsible ...Conference Paper