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» Image Processing: Principles and Applications
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SBCCI
2003
ACM
129views VLSI» more  SBCCI 2003»
15 years 9 months ago
Hyperspectral Images Clustering on Reconfigurable Hardware Using the K-Means Algorithm
Unsupervised clustering is a powerful technique for understanding multispectral and hyperspectral images, being k-means one of the most used iterative approaches. It is a simple th...
Abel Guilhermino S. Filho, Alejandro César ...
ECCV
2000
Springer
16 years 5 months ago
Divergence-Based Medial Surfaces
The medial surface of a volumetric object is of significant interest for shape analysis. However, its numerical computation can be subtle. Methods based on Voronoi techniques prese...
Sylvain Bouix, Kaleem Siddiqi
ICCV
1999
IEEE
16 years 6 months ago
The Hamilton-Jacobi Skeleton
The eikonal equation and variants of it are of significant interest for problems in computer vision and image processing. It is the basis for continuous versions of mathematical m...
Kaleem Siddiqi, Sylvain Bouix, Allen Tannenbaum, S...
ECCV
1998
Springer
16 years 5 months ago
A Two-Stage Probabilistic Approach for Object Recognition
Assume that some objects are present in an image but can be seen only partially and are overlapping each other. To recognize the objects, we have to rstly separate the objects from...
Stan Z. Li, Joachim Hornegger
ADS
2004
Springer
15 years 7 months ago
Neural Architecture for Temporal Emotion Classification
Abstract. In this pilot study, a neural architecture for temporal emotion recognition from image sequences is proposed. The investigation aims at the development of key principles ...
Roland Schweiger, Pierre Bayerl, Heiko Neumann