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127
Voted
CVPR
2010
IEEE
15 years 10 months ago
High-Resolution Modeling of Moving and Deforming Objects Using Sparse Geometric and Dense Photometric Measurements
Modeling moving and deforming objects requires capturing as much information as possible during a very short time. When using off-the-shelf hardware, this often hinders the resolu...
Yi Xu, Daniel Aliaga
158
Voted
CVPR
2010
IEEE
1872views Computer Vision» more  CVPR 2010»
15 years 10 months ago
New Features and Insights for Pedestrian Detection
Despite impressive progress in people detection the performance on challenging datasets like Caltech Pedestrians or TUD-Brussels is still unsatisfactory. In this work we show that...
Stefan Walk, Nikodem Majer, Konrad Schindler, Bern...
112
Voted
CVPR
2010
IEEE
15 years 10 months ago
Denoising vs. Deblurring: HDR Imaging Techniques Using Moving Cameras
New cameras such as the Canon EOS 7D and Pointgrey Grasshopper have 14-bit sensors. We present a theoretical analysis and a practical approach that exploit these new cameras with ...
Li Zhang, Alok Deshpande, Xin Chen
128
Voted
CVPR
2010
IEEE
1351views Computer Vision» more  CVPR 2010»
15 years 10 months ago
Live Dense Reconstruction with a Single Moving Camera
We present a method which enables rapid and dense reconstruction of scenes browsed by a single live camera. We take point-based real-time structure from motion (SFM) as our starti...
Richard Newcombe, Andrew Davison
119
Voted
CVPR
2010
IEEE
15 years 10 months ago
Specular Surface Reconstruction from Sparse Reflection Correspondences
We present a practical approach for surface reconstruction of smooth mirror-like objects using sparse reflection correspondences (RCs). Assuming finite object motion with a fix...
Aswin Sankaranarayanan, Ashok Veeraraghavan, Oncel...