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ICCV
2009
IEEE
1556views Computer Vision» more  ICCV 2009»
16 years 12 months ago
Kernel Methods for Weakly Supervised Mean Shift Clustering
Mean shift clustering is a powerful unsupervised data analysis technique which does not require prior knowledge of the number of clusters, and does not constrain the shape of th...
Oncel Tuzel, Fatih Porikli, Peter Meer
CVPR
1999
IEEE
16 years 9 months ago
Object Recognition with Color Cooccurrence Histograms
We use the color cooccurrence histogram (CH) for recognizing objects in images. The color CH keeps track of the number of pairs of certain colored pixels that occur at certain sep...
Peng Chang, John Krumm
CVPR
1999
IEEE
16 years 9 months ago
Multi-Frame Alignment of Planes
Traditional plane alignment techniques are typically performed between pairs of frames. In this paper we present a method for extending existing two-frame planar-motion estimation...
Lihi Zelnik-Manor, Michal Irani
CVPR
2001
IEEE
16 years 9 months ago
Handling Occlusions in Dense Multi-view Stereo
While stereo matching was originally formulated as the recovery of 3D shape from a pair of images, it is now generally recognized that using more than two images can dramatically ...
Sing Bing Kang, Richard Szeliski, Jinxiang Chai
ICCV
2003
IEEE
16 years 8 months ago
Photo-Consistent 3D Fire by Flame-Sheet Decomposition
This paper considers the problem of reconstructing visually realistic 3D models of fire from a very small set of simultaneous views (even two). By modeling fire as a semi-transpar...
Samuel W. Hasinoff, Kiriakos N. Kutulakos