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» Local shape features for object recognition
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SSPR
2010
Springer
14 years 8 months ago
Information Theoretical Kernels for Generative Embeddings Based on Hidden Markov Models
Many approaches to learning classifiers for structured objects (e.g., shapes) use generative models in a Bayesian framework. However, state-of-the-art classifiers for vectorial d...
André F. T. Martins, Manuele Bicego, Vittor...
SIAMCO
2000
137views more  SIAMCO 2000»
14 years 9 months ago
On a Class of Diffeomorphic Matching Problems in One Dimension
We study a class of functional which can be used for matching objects which can be represented as mappings from a fixed interval, I, to some "feature space." This class o...
Alain Trouvé, Laurent Younes
ICPR
2000
IEEE
15 years 10 months ago
Detecting Rotational Symmetries Using Normalized Convolution
Perceptual experiments indicate that corners and curvature are very important features in the process of recognition. This paper presents a new method to detect rotational symmetr...
Björn Johansson, Gösta H. Granlund, Hans...
AVBPA
2001
Springer
146views Biometrics» more  AVBPA 2001»
15 years 1 months ago
Robust Face Detection Using the Hausdorff Distance
Abstract. The localization of human faces in digital images is a fundamental step in the process of face recognition. This paper presents a shape comparison approach to achieve fas...
Oliver Jesorsky, Klaus J. Kirchberg, Robert Frisch...
PR
2006
122views more  PR 2006»
14 years 9 months ago
Fast multiscale clustering and manifold identification
We present a novel multiscale clustering algorithm inspired by algebraic multigrid techniques. Our method begins with assembling data points according to local similarities. It us...
Dan Kushnir, Meirav Galun, Achi Brandt