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» A Graph Cut Algorithm for Generalized Image Deconvolution
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CIVR
2004
Springer
189views Image Analysis» more  CIVR 2004»
15 years 7 months ago
Feature Based Cut Detection with Automatic Threshold Selection
There has been much work concentrated on creating accurate shot boundary detection algorithms in recent years. However a truly accurate method of cut detection still eludes researc...
Anthony Whitehead, Prosenjit Bose, Robert Lagani&e...
116
Voted
SCALESPACE
2009
Springer
15 years 8 months ago
L0-Norm and Total Variation for Wavelet Inpainting
Abstract. In this paper, we suggest an algorithm to recover an image whose wavelet coefficients are partially lost. We propose a wavelet inpainting model by using L0-norm and the t...
Andy C. Yau, Xue-Cheng Tai, Michael K. Ng
115
Voted
KDD
2004
ACM
190views Data Mining» more  KDD 2004»
16 years 2 months ago
Kernel k-means: spectral clustering and normalized cuts
Kernel k-means and spectral clustering have both been used to identify clusters that are non-linearly separable in input space. Despite significant research, these methods have re...
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
ECCV
2010
Springer
15 years 2 months ago
Superpixels and Supervoxels in an Energy Optimization Framework
Many methods for object recognition, segmentation, etc., rely on tessellation of an image into "superpixels". A superpixel is an image patch which is better aligned with ...
Olga Veksler, Yuri Boykov, Paria Mehrani
135
Voted
ISCSCT
2008
IEEE
15 years 8 months ago
Large Scale Scenes Reconstruction from Multiple Views
—In this paper, we present a novel method to reconstruct the large scale scenes from multiple calibrated images. It first generates a quasi-dense 3D point cloud of the scene by m...
Limin Shi, Feng Zhang, Zhenhui Xu, Zhanyi Hu