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Augmenting crowd-sourced 3D reconstructions using semantic detections
(2018)2018 IEEE/CVF Conference on Computer Vision and Pattern RecognitionImage-based 3D reconstruction for Internet photo collections has become a robust technology to produce impressive virtual representations of real-world scenes. However, several fundamental challenges remain for Structure-from-Motion (SfM) pipelines, namely: the placement and reconstruction of transient objects only observed in single views, estimating the absolute scale of the scene, and (suprisingly often) recovering ground surfaces in ...Conference Paper -
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Detecting Large Repetitive Structures with Salient Boundaries
(2010)Lecture Notes in Computer Science ~ Computer vision - ECCV 2010Conference 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 -
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