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IBPRIA
2007
Springer
15 years 8 months ago
Unidimensional Multiscale Local Features for Object Detection Under Rotation and Mild Occlusions
Abstract. In this article, scale and orientation invariant object detection is performed by matching intensity level histograms. Unlike other global measurement methods, the presen...
Michael Villamizar, Alberto Sanfeliu, Juan Andrade...
ICIP
2010
IEEE
15 years 14 days ago
Image recognition using maximal cliques of interest points
This paper describes a method for extracting interest points in images and using interrelated groups or cliques to recognize structure common to pairs of images. Feature measureme...
Fred Stentiford, Ade Bamidele
ECCV
2008
Springer
16 years 4 months ago
Locating Facial Features with an Extended Active Shape Model
We make some simple extensions to the Active Shape Model of Cootes et al. [4], and use it to locate features in frontal views of upright faces. We show on independent test data tha...
Stephen Milborrow, Fred Nicolls
116
Voted
ICRA
2009
IEEE
100views Robotics» more  ICRA 2009»
15 years 7 days ago
Multi-robot plan adaptation by constrained minimal distortion feature mapping
We propose a novel method for multi-robot plan adaptation which can be used for adapting existing spatial plans of robotic teams to new environments or imitating collaborative spat...
Bálint Takács, Yiannis Demiris
SAC
2006
ACM
15 years 8 months ago
The impact of sample reduction on PCA-based feature extraction for supervised learning
“The curse of dimensionality” is pertinent to many learning algorithms, and it denotes the drastic raise of computational complexity and classification error in high dimension...
Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal