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ICIP
2004
IEEE
16 years 8 months ago
Estimating the phase congruency of localised frequencies
Phase congruency is a new method for detecting features in images. One of its significant strengths is its invariance to lighting variation within an image, as well as being able ...
Peter Myerscough, Mark S. Nixon
IROS
2006
IEEE
131views Robotics» more  IROS 2006»
16 years 23 days ago
Implementing Planar Motion Tracking Algorithms on CMOS+FPGA Vision System
— This paper describes a 1,000Hz visual feedback using the CMOS+FPGA vision. It is required to obtain positional and angular signals around 1,000Hz to control a mechanical system...
Kazuhiro Shimizu, Shinichi Hirai
217
Voted
IJCV
2000
180views more  IJCV 2000»
15 years 6 months ago
Probabilistic Models of Appearance for 3-D Object Recognition
We describe how to model the appearance of a 3-D object using multiple views, learn such a model from training images, and use the model for object recognition. The model uses pro...
Arthur R. Pope, David G. Lowe
157
Voted
PR
2002
81views more  PR 2002»
15 years 6 months ago
Generalised correlation for multi-feature correspondence
Computing correspondences between pairs of images is fundamental to all structures from motion algorithms. Correlation is a popular method to estimate similarity between patches o...
C. V. Jawahar, P. J. Narayanan
CVPR
1998
IEEE
16 years 8 months ago
Texture Recognition Using a Non-Parametric Multi-Scale Statistical Model
We describe a technique for using the joint occurrence of local features at multiple resolutions to measure the similarity between texture images. Though superficially similar to ...
Jeremy S. De Bonet, Paul A. Viola