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» Object Detection Using Multi-local Feature Manifolds
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CVGIP
2004
125views more  CVGIP 2004»
15 years 3 days 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
14 years 10 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
15 years 1 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
14 years 10 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