The Design and Use of Steerable Filters
IEEE Transactions on Pattern Analysis and Machine Intelligence
Generic Neighborhood Operators
IEEE Transactions on Pattern Analysis and Machine Intelligence
Three-dimensional computer vision: a geometric viewpoint
Three-dimensional computer vision: a geometric viewpoint
Visual learning and recognition of 3-D objects from appearance
International Journal of Computer Vision
Recursive implementation of the Gaussian filter
Signal Processing
An active vision architecture based on iconic representations
Artificial Intelligence - Special volume on computer vision
Local Grayvalue Invariants for Image Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
Feature Detection with Automatic Scale Selection
International Journal of Computer Vision
Edge Detection and Ridge Detection with Automatic Scale Selection
International Journal of Computer Vision
EigenTracking: Robust Matching and Tracking of Articulated Objects Using a View-Based Representation
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
Visual Recognition Using Local Appearance
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
Probabilistic Object Recognition Using Multidimensional Receptive Field Histograms
ICPR '96 Proceedings of the 13th International Conference on Pattern Recognition - Volume 2
Journal of Cognitive Neuroscience
Resolution Selection Using Generalized Entropies of Multiresolution Histograms
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Estimating the Pose of Phicons for Human Computer Interaction
ICMI '00 Proceedings of the Third International Conference on Advances in Multimodal Interfaces
A Multi-scale Feature Likelihood Map for Direct Evaluation of Object Hypotheses
Scale-Space '01 Proceedings of the Third International Conference on Scale-Space and Morphology in Computer Vision
AIRS'05 Proceedings of the Second Asia conference on Asia Information Retrieval Technology
Biologically motivated perceptual feature: generalized robust invariant feature
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
Scale selection for supervised image segmentation
Image and Vision Computing
| Hi-index | 0.00 |
This paper addresses the problem of the local scale parameter selection for recognition techniques based on Gaussian derivatives. Patterns are described in a feature space of which each dimension is a scale and orientation normalized receptive field (a unit composed of normalized Gaussian-based filters). Scale invariance is obtained by automatic selection of an appropriate local scale [Lin98b] and followed by normalisation of the receptive field to the appropriate scale. Orientation invariance is obtained by the determination of the dominant local orientation and by steering the receptive fields to this orientation. Data is represented structurally in a feature space that is designed for the recognition of static object configurations. In this space an image is modeled by the vectorial representation of the receptive field responses at each pixel, forming a surface in the feature space. Recognition is achieved by measuring the distance between the vector of normalized receptive fields responses of an observed neighborhood and the surface point of the image model. The power of a scale equivariant feature space is validated by experimental results for point correspondences in images of different scales and the recognition of objects under different view points.