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DAGM
2010
Springer

Real-Time Dense Geometry from a Handheld Camera

9 years 1 months ago
Real-Time Dense Geometry from a Handheld Camera
We present a novel variational approach to estimate dense depth maps from multiple images in real-time. By using robust penalizers for both data term and regularizer, our method preserves discontinuities in the depth map. We demonstrate that the integration of multiple images substantially increases the robustness of estimated depth maps to noise in the input images. The integration of our method into recently published algorithms for camera tracking allows dense geometry reconstruction in real-time using a single handheld camera. We demonstrate the performance of our algorithm with real-world data.
Jan Stühmer, Stefan Gumhold, Daniel Cremers
Added 08 Nov 2010
Updated 08 Nov 2010
Type Conference
Year 2010
Where DAGM
Authors Jan Stühmer, Stefan Gumhold, Daniel Cremers
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