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» A Level-Set Approach to 3D Reconstruction from Range Data
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ICRA
2009
IEEE
248views Robotics» more  ICRA 2009»
15 years 7 months ago
Comparison of surface normal estimation methods for range sensing applications
— As mobile robotics is gradually moving towards a level of semantic environment understanding, robust 3D object recognition plays an increasingly important role. One of the most...
Klaas Klasing, Daniel Althoff, Dirk Wollherr, Mart...
EDUTAINMENT
2008
Springer
15 years 2 months ago
Reconstruction of Tree Crown Shape from Scanned Data
Reconstruction of a real tree from scattered scanned points is a new challenge in virtual reality. Although many progresses are made on main branch structures and overall shape of ...
Chao Zhu, Xiaopeng Zhang, Bao-Gang Hu, Marc Jaeger
125
Voted
CVPR
2011
IEEE
14 years 8 months ago
High-quality shape from multi-view stereo and shading under general illumination
Multi-view stereo methods reconstruct 3D geometry from images well for sufficiently textured scenes, but often fail to recover high-frequency surface detail, particularly for smo...
Chenglei Wu, Bennett Wilburn, Yasuyuki Matsushita,...
SIGGRAPH
1996
ACM
15 years 4 months ago
Automatic Reconstruction of B-Spline Surfaces of Arbitrary Topological Type
Creating freeform surfaces is a challenging task even with advanced geometric modeling systems. Laser range scanners offer a promising alternative for model acquisition--the 3D sc...
Matthias Eck, Hugues Hoppe
DAGM
2009
Springer
14 years 10 months ago
Combined GKLT Feature Tracking and Reconstruction for Next Best View Planning
Abstract. Guided Kanade-Lucas-Tomasi (GKLT) tracking is a suitable way to incorporate knowledge about camera parameters into the standard KLT tracking approach for feature tracking...
Michael Trummer, Christoph Munkelt, Joachim Denzle...