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» Variability Models Must Not be Invariant!
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NIPS
2007
13 years 9 months ago
An in-silico Neural Model of Dynamic Routing through Neuronal Coherence
We describe a neurobiologically plausible model to implement dynamic routing using the concept of neuronal communication through neuronal coherence. The model has a three-tier arc...
Devarajan Sridharan, Brian Percival, John V. Arthu...
IPMI
2005
Springer
14 years 8 months ago
Hypothesis Testing with Nonlinear Shape Models
We present a method for two-sample hypothesis testing for statistical shape analysis using nonlinear shape models. Our approach uses a true multivariate permutation test that is in...
Timothy B. Terriberry, Sarang C. Joshi, Guido Geri...
ICMCS
2006
IEEE
171views Multimedia» more  ICMCS 2006»
14 years 1 months ago
New Area Matrix-Based Affine-Invariant Shape Features and Similarity Metrics
A near-planar object seen from different viewpoints results in differently deformed images. Under some assumptions, viewpoint changes can be modeled by affine transformations. Sh...
Carlos Ramon Pantaleon Dionisio, Hae Young Kim
IJCV
2010
167views more  IJCV 2010»
13 years 2 months ago
A Solution of the Dichromatic Model for Multispectral Photometric Invariance
In this paper, we address the problem of photometric invariance in multispectral imaging making use of an optimisation approach based upon the dichromatic model. In this manner, w...
Cong Phuoc Huynh, Antonio Robles-Kelly
CVPR
2007
IEEE
14 years 9 months ago
3D Probabilistic Feature Point Model for Object Detection and Recognition
This paper presents a novel statistical shape model that can be used to detect and localise feature points of a class of objects in images. The shape model is inspired from the 3D...
Sami Romdhani, Thomas Vetter