3DIM
2011
IEEE
12 years 12 months ago
2011
IEEE
Addressing the image correspondence problem by feature matching is a central part of computer vision and 3D inference from images. Consequently, there is a substantial amount of w...
ICANN
2011
Springer
13 years 3 months ago
2011
Springer
The artificial neural networks that are used to recognize shapes typically use one or more layers of learned feature detectors that produce scalar outputs. By contrast, the comput...
PAMI
2002
13 years 11 months ago
2002
The product of experts learning procedure [1] can discover a set of stochastic binary features that constitute a nonlinear generative model of handwritten images of digits. The qua...
NIPS
2000
14 years 1 months ago
2000
We describe a neurally-inspired, unsupervised learning algorithm that builds a non-linear generative model for pairs of face images from the same individual. Individuals are then ...
DAGSTUHL
2006
14 years 1 months ago
2006
A successful detection and classification system must have two properties: it should be general enough to compensate for intra-class variability and it should be specific enough to...
DGCI
2006
Springer
14 years 3 months ago
2006
Springer
Differential operators are required to compute several characteristics for continuous surfaces, as e.g. tangents, curvature, flatness, shape descriptors. We propose to replace diff...
CLOR
2006
14 years 3 months ago
2006
We present a "parts and structure" model for object category recognition that can be learnt efficiently and in a weakly-supervised manner: the model is learnt from examp...
ECCV
2006
Springer
15 years 1 months ago
2006
Springer
Abstract Where feature points are used in real-time frame-rate applications, a high-speed feature detector is necessary. Feature detectors such as SIFT (DoG), Harris and SUSAN are ...
CVPR
2005
IEEE
15 years 1 months ago
2005
IEEE
We present a "parts and structure" model for object category recognition that can be learnt efficiently and in a semisupervised manner: the model is learnt from example ...