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» 3D shape estimation from silhouettes using mean-shift
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CVPR
2009
IEEE
1131views Computer Vision» more  CVPR 2009»
16 years 8 months ago
Continuous Depth Estimation for Multi-view Stereo
Depth-map merging approaches have become more and more popular in multi-view stereo (MVS) because of their flexibility and superior performance. The quality of depth map used fo...
Yebin Liu (Tsinghua University), Xun Cao (Tsinghu...
CVPR
2008
IEEE
16 years 3 months ago
Generalised blurring mean-shift algorithms for nonparametric clustering
Gaussian blurring mean-shift (GBMS) is a nonparametric clustering algorithm, having a single bandwidth parameter that controls the number of clusters. The algorithm iteratively sh...
Miguel Á. Carreira-Perpiñán
CVPR
2010
IEEE
15 years 8 months ago
Finding Nemo: Deformable Object Class Modelling using Curve Matching
An image search for “clownfish” yields many photos of clownfish, each of a different individual of a different 3D shape in a different pose. Yet, to the human observer, this...
Mukta Prasad, Andrew Fitzgibbon
CVPR
2009
IEEE
15 years 8 months ago
Robust shadow and illumination estimation using a mixture model
Illuminant estimation from shadows typically relies on accurate segmentation of the shadows and knowledge of exact 3D geometry, while shadow estimation is difficult in the presen...
Alexandros Panagopoulos, Dimitris Samaras, Nikos P...
CVPR
2005
IEEE
15 years 7 months ago
A Measure of Deformability of Shapes, with Applications to Human Motion Analysis
In this paper we develop a theory for characterizing how deformable a shape is. We define a term called “deformability index” for shapes. The deformability index is computed ...
Amit K. Roy Chowdhury