The Design and Use of Steerable Filters
IEEE Transactions on Pattern Analysis and Machine Intelligence
ECCV '94 Proceedings of the third European conference on Computer vision (vol. 1)
Local Grayvalue Invariants for Image Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
Local Scale Control for Edge Detection and Blur Estimation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Evaluation of Interest Point Detectors
International Journal of Computer Vision - Special issue on a special section on visual surveillance
Measurement of Image Velocity
Object Recognition Using Multidimensional Receptive Field Histograms
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Feature Based Methods for Structure and Motion Estimation
ICCV '99 Proceedings of the International Workshop on Vision Algorithms: Theory and Practice
Object Recognition from Local Scale-Invariant Features
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Natural basis functions and topographic memory for face recognition
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
A statistical approach to sparse multi-scale phase-based stereo
Pattern Recognition
Flexible Spatial Configuration of Local Image Features
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast pattern recognition using normalized grey-scale correlation in a pyramid image representation
Machine Vision and Applications
Speeded-Up Robust Features (SURF)
Computer Vision and Image Understanding
Description of interest regions with local binary patterns
Pattern Recognition
The quantitative characterization of the distinctiveness and robustness of local image descriptors
Image and Vision Computing
An efficient garment visual search based on shape context
MUSP'09 Proceedings of the 9th WSEAS international conference on Multimedia systems & signal processing
An efficient garment visual search based on shape context
WSEAS Transactions on Computers
A quick scale-invariant interest point detecting approach
Machine Vision and Applications
AMFG'07 Proceedings of the 3rd international conference on Analysis and modeling of faces and gestures
Improved tracking of multiple vehicles using invariant feature-based matching
PReMI'07 Proceedings of the 2nd international conference on Pattern recognition and machine intelligence
Cascade of descriptors to detect and track objects across any network of cameras
Computer Vision and Image Understanding
A compact harmonic code for early vision based on anisotropic frequency channels
Computer Vision and Image Understanding
Fourier-based rotation invariant image features
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
A zernike moment phase-based descriptor for local image representation and matching
IEEE Transactions on Image Processing
Flexible spatial models for grouping local image features
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Evaluation of Interest Point Detectors and Feature Descriptors for Visual Tracking
International Journal of Computer Vision
Detecting intrinsically two-dimensional image structures using local phase
DAGM'06 Proceedings of the 28th conference on Pattern Recognition
A statistical parts-based appearance model of inter-subject variability
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
SURF: speeded up robust features
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
Sparse flexible models of local features
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
A robust image retrieval system for mobile guide applications
International Journal of Intelligent Systems
Genetic programming as strategy for learning image descriptor operators
Intelligent Data Analysis
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Local feature methods suitable for image feature based object recognition and for the estimation of motion and structure are composed of two steps, namely the 'where' and 'what' steps. The 'where' step (e.g., interest point detector) must select image points that are robustly localizable under common image deformations and whose neighborhoods are relatively informative. The 'what' step (e.g., local feature extractor) then provides a representation of the image neighborhood that is semi-invariant to image deformations, but distinctive enough to provide model identification. We present a quantitative evaluation of both the 'where' and the 'what' steps for three recent local feature methods: a) phase-based local features [2], b) differential invariants [14], and c) the scale invariant feature transform (SIFT) [9]. Moreover, in order to make the phase-based approach more comparable to the other two approaches, we also introduce a new form of multi-scale interest point detector to be used for its 'where' step. The results show that the phase-based local features lead to better performance than the other two approaches when dealing with common illumination changes, 2D rotation, and sub-pixel translation. On the other hand, the phase-based local features are somewhat more sensitive to scale and large shear changes than the other two methods. Finally, we demonstrate the viability of the phase-based local feature in a simple object recognition system.