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3DPVT
2006
IEEE
197views Visualization» more  3DPVT 2006»
13 years 9 months ago
Aerial LiDAR Data Classification Using Support Vector Machines (SVM)
We classify 3D aerial LiDAR scattered height data into buildings, trees, roads, and grass using the Support Vector Machine (SVM) algorithm. To do so we use five features: height, ...
Suresh K. Lodha, Edward J. Kreps, David P. Helmbol...
3DPVT
2006
IEEE
197views Visualization» more  3DPVT 2006»
13 years 7 months ago
Structured Light Based Reconstruction under Local Spatial Coherence Assumption
3D scanning techniques based on structured light usually achieve robustness against outliers by performing multiple projections to simplify correspondence. However, for cases such...
Hao Li, Raphael Straub, Hartmut Prautzsch
3DPVT
2006
IEEE
199views Visualization» more  3DPVT 2006»
13 years 11 months ago
Fast Level Set Multi-View Stereo on Graphics Hardware
In this paper, we show the importance and feasibility of much faster multi-view stereo reconstruction algorithms relying almost exclusively on graphics hardware. Reconstruction al...
Patrick Labatut, Renaud Keriven, Jean-Philippe Pon...
3DPVT
2006
IEEE
295views Visualization» more  3DPVT 2006»
13 years 7 months ago
Efficient Sparse 3D Reconstruction by Space Sweeping
This paper introduces a feature based method for the fast generation of sparse 3D point clouds from multiple images with known pose. We extract sub-pixel edge elements (2D positio...
Joachim Bauer, Christopher Zach, Horst Bischof
3DPVT
2006
IEEE
190views Visualization» more  3DPVT 2006»
13 years 11 months ago
3D City Modeling Using Cognitive Loops
3D city modeling using computer vision is very challenging. A typical city contains objects which are a nightmare for some vision algorithms, while other algorithms have been desi...
Nico Cornelis, Bastian Leibe, Kurt Cornelis, Luc J...