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» A New Bayesian Method for Range Image Segmentation
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CVPR
2001
IEEE
14 years 11 months ago
Local Feature View Clustering for 3D Object Recognition
There have been important recent advances in object recognition through the matching of invariant local image features. However, the existing approaches are based on matching to i...
David G. Lowe
ICIP
2005
IEEE
14 years 10 months ago
Universal image coding using multiscale recurrent patterns and prediction
In this paper we present a new method for image coding that is able to achieve good results over a wide range of image types. This work is based on the Multidimensional Multiscale...
Eduardo A. B. da Silva, Murilo B. de Carvalho, Nun...
TVCG
2010
161views more  TVCG 2010»
13 years 7 months ago
Globally Optimized Linear Windowed Tone Mapping
—This paper introduces a new tone mapping operator that performs local linear adjustments on small overlapping windows over the entire input image. While each window applies a lo...
Qi Shan, Jiaya Jia, Michael S. Brown
SCIA
2005
Springer
166views Image Analysis» more  SCIA 2005»
14 years 2 months ago
Clustering Based on Principal Curve
Clustering algorithms are intensively used in the image analysis field in compression, segmentation, recognition and other tasks. In this work we present a new approach in clusteri...
Ioan Cleju, Pasi Fränti, Xiaolin Wu
CGF
2010
171views more  CGF 2010»
13 years 5 months ago
Efficient Mean-shift Clustering Using Gaussian KD-Tree
Mean shift is a popular approach for data clustering, however, the high computational complexity of the mean shift procedure limits its practical applications in high dimensional ...
Chunxia Xiao, Meng Liu