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VISUAL
1999
Springer
15 years 8 months ago
Highly Discriminative Invariant FEatures for Image Matching
Abstract. In this paper, we present novel image-derived, invariant features that accurately capture both the geometric and color properties of an imaged object. These features can ...
Ronald-Bryan O. Alferez, Yuan-Fang Wang
DAGM
1998
Springer
15 years 8 months ago
Discrete Mixture Models for Unsupervised Image Segmentation
This paper introduces a novel statistical mixture model for probabilistic clustering of histogram data and, more generally, for the analysis of discrete co occurrence data. Adoptin...
Jan Puzicha, Joachim M. Buhmann, Thomas Hofmann
IDMS
1998
Springer
100views Multimedia» more  IDMS 1998»
15 years 8 months ago
Network-Conscious Compressed Images over Wireless Networks
We apply the concept of network-consciousness to image compression, an approach that does not simply optimize compression, but which optimizes overall performance when compressed i...
Sami Iren, Paul D. Amer, Phillip T. Conrad
CVPR
1997
IEEE
15 years 8 months ago
Normalized Cuts and Image Segmentation
ÐWe propose a novel approach for solving the perceptual grouping problem in vision. Rather than focusing on local features and their consistencies in the image data, our approach ...
Jianbo Shi, Jitendra Malik
112
Voted
ICIP
1997
IEEE
15 years 8 months ago
Adjustable Quadratic Filters for Image Enhancement
We propose a new class of mapping-based nonlinear quadratic Volterra filters for image enhancement. The input signal is mapped prior to filtering by a memoryless one-to-one nonl...
Reinhard Bernstein, Sanjit K. Mitra, Michael S. Mo...