Introduction to algorithms
Dynamic Programming Alignment of Sequences Representing Cyclic Patterns
IEEE Transactions on Pattern Analysis and Machine Intelligence
Artificial Intelligence - Special volume on computer vision
Local Grayvalue Invariants for Image Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
SIAM Journal on Computing
Automatic Camera Recovery for Closed or Open Image Sequences
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
Wide Baseline Point Matching Using Affine Invariants Computed from Intensity Profiles
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part I
IMPSAC: Synthesis of Importance Sampling and Random Sample Consensus
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II
Differential Invariants for Color Images
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 1 - Volume 1
Automated location matching in movies
Computer Vision and Image Understanding - Special isssue on video retrieval and summarization
Point Matching under Large Image Deformations and Illumination Changes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Scale & Affine Invariant Interest Point Detectors
International Journal of Computer Vision
International Journal of Computer Vision
A Comparison of Affine Region Detectors
International Journal of Computer Vision
Simultaneous Object Recognition and Segmentation from Single or Multiple Model Views
International Journal of Computer Vision
SVD-matching using SIFT features
Graphical Models - Special issue on the vision, video and graphics conference 2005
Robust multi-view feature matching from multiple unordered views
Pattern Recognition
Flexible Spatial Configuration of Local Image Features
IEEE Transactions on Pattern Analysis and Machine Intelligence
An efficient image-mosaicing method based on multifeature matching
Machine Vision and Applications
Pairwise Similarity Propagation Based Graph Clustering for Scalable Object Indexing and Retrieval
GbRPR '09 Proceedings of the 7th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition
Object Detection by Keygraph Classification
GbRPR '09 Proceedings of the 7th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition
Interest point detection and scale selection in space-time
Scale Space'03 Proceedings of the 4th international conference on Scale space methods in computer vision
Flexible spatial models for grouping local image features
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Unsupervised facade segmentation using repetitive patterns
Proceedings of the 32nd DAGM conference on Pattern recognition
Visual object tracking by an evolutionary self-organizing neural network
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Evolutionary neural networks for practical applications
Keygraphs for sign detection in indoor environments by mobile phones
GbRPR'11 Proceedings of the 8th international conference on Graph-based representations in pattern recognition
Towards reliable matching of images containing repetitive patterns
Pattern Recognition Letters
Cyclic sequence comparison using dynamic warping
CIVR'05 Proceedings of the 4th international conference on Image and Video Retrieval
Image matching based on singular value decomposition
PCM'04 Proceedings of the 5th Pacific Rim conference on Advances in Multimedia Information Processing - Volume Part III
Large vocabularies for keypoint-based representation and matching of image patches
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part I
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part V
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The problem of establishing image-to-image correspondences is fundamental in computer vision. Recently, several wide baseline matching algorithms capable of handling large changes of viewpoint have appeared. By computing feature values from image data, these algorithms mainly use appearance as a cue for matching. Topological information, i.e. spatial relations between features, has also been used, but not nearly to the same extent as appearance. In this paper, we incorporate topological constraints into an existing matching algorithm [1] which matches image intensity profiles between interest points. We show that the algorithm can be improved by exploiting the constraint that the intensity profiles around each interest point should be cyclically ordered. String matching techniques allows for an efficient implementation of the ordering constraint. Experiments with real data indicate that the modified algorithm indeed gives superior results to the original one. The method of enforcing the spatial constraints is not limited to the presented case, but can be used on any algorithm where interest point correspondences are sought.