Motion from point matches: multiple of solutions
International Journal of Computer Vision
A maximum likelihood stereo algorithm
Computer Vision and Image Understanding
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Estimation of Relative Camera Positions for Uncalibrated Cameras
ECCV '92 Proceedings of the Second European Conference on Computer Vision
What can be seen in three dimensions with an uncalibrated stereo rig
ECCV '92 Proceedings of the Second European Conference on Computer Vision
3D Model Acquisition from Extended Image Sequences
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume II - Volume II
Multi Viewpoint Stereo from Uncalibrated Video Sequences
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
Plenoptic Modeling and Rendering from Image Sequences Taken by Hand-Held Camera
Mustererkennung 1999, 21. DAGM-Symposium
Robust Calibration and 3D Geometric Modeling From Large Collections of Uncalibrated Images
Mustererkennung 1999, 21. DAGM-Symposium
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
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Lightfield rendering allows fast visualization of complex scenes by view interpolation from images of densely spaced camera viewpoints. The lightfield data structure requires calibrated viewpoints, and rendering quality can be improved substantially when local scene depth is known for each viewpoint. In this contribution we propose to combine lightfield rendering with a geometry-based structure-from-motion approach that computes camera calibration and local depth estimates. The advantage of the combined approach w.r.t. a pure geometric structure recovery is that the estimated geometry need not be globally consistent but is updated locally depending on the rendering viewpoint. We concentrate on the viewpoint calibration that is computed directly from the image data by tracking image feature points. Ground-truth experiments on real lightfield sequences confirm the quality of calibration.