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» Object Detection Using Multi-local Feature Manifolds
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CVGIP
2004
125views more  CVGIP 2004»
13 years 5 months ago
Efficient representation and extraction of 2-manifold isosurfaces using kd-trees
In this paper, we propose the utilization of a kd-tree based hierarchy as an implicit object representation. Compared to an octree, the kd-tree based hierarchy is superior in term...
Alexander Greß, Reinhard Klein
ICIP
2010
IEEE
13 years 3 months ago
Robust object detection scheme using feature selection
Feature selection is an important issue for object detection. In this paper, we propose an effective wrapper-based feature selection scheme using Binary Particle Swarm Optimizatio...
Hong Pan, Liang-Zheng Xia, Truong Q. Nguyen
AAAI
2006
13 years 7 months ago
Bayesian Network Based Reparameterization of Haar-like Feature
Object detection using Haar-like features is formulated as a maximum likelihood estimation. Object features are described by an arbitrary Bayesian Network (BN) of Haar-like featur...
Hirotaka Niitsuma
BMVC
2010
13 years 3 months ago
Iterative Hyperplane Merging: A Framework for Manifold Learning
We present a framework for the reduction of dimensionality of a data set via manifold learning. Using the building blocks of local hyperplanes we show how a global manifold can be...
Harry Strange, Reyer Zwiggelaar