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ISMAR
2009
IEEE

Robust pose estimation in untextured environments for augmented reality applications

10 years 1 months ago
Robust pose estimation in untextured environments for augmented reality applications
We present a robust camera pose estimation approach for stereo images captured in untextured environments. Unlike most of existing registration algorithms which are point-based and make use of intensities of pixels in the neighborhood, our approach imports line segments in registration process. With line segments as primitives, the proposed algorithm is capable to handle untextured images such as scenes captured in man-made environments, as well as the cases when there are large viewpoint changes or illumination changes. Furthermore, since the proposed algorithm is robust to large baseline stereos, there are improvements on the accuracy of 3D points reconstruction. With well-calculated camera pose and object positions in 3D space, we can embed virtual objects into existing scene with higher accuracy for realistic effects. In our experiments, 2D labels are embedded in the 3D scene space to achieve annotation effects as in AR.
Wei Guan, Lu Wang, Jonathan Mooser, Suya You, Ulri
Added 24 May 2010
Updated 24 May 2010
Type Conference
Year 2009
Where ISMAR
Authors Wei Guan, Lu Wang, Jonathan Mooser, Suya You, Ulrich Neumann
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