IEEE Transactions on Pattern Analysis and Machine Intelligence
Scale-Based Description and Recognition of Planar Curves and Two-Dimensional Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Corner detection and curve representation using cubic B-spline
Computer Vision, Graphics, and Image Processing
Grey level corner detection: a generalization and a robust real time implementation
Computer Vision, Graphics, and Image Processing
SUSAN—A New Approach to Low Level Image Processing
International Journal of Computer Vision
Junctions: Detection, Classification, and Reconstruction
IEEE Transactions on Pattern Analysis and Machine Intelligence
Feature Detection with Automatic Scale Selection
International Journal of Computer Vision
Image Field Categorization and Edge/Corner Detection from Gradient Covariance
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
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Earth Mover's Distance as a Metric for Image Retrieval
International Journal of Computer Vision
Edge, Junction, and Corner Detection Using Color Distributions
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Finding Geometric and Relational Structures in an Image
ECCV '90 Proceedings of the First European Conference on Computer Vision
Comprehensive Colour Image Normalization
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
An Affine Invariant Interest Point Detector
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Object Recognition from Local Scale-Invariant Features
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Corner Detection in Textured Color Images
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Scale & Affine Invariant Interest Point Detectors
International Journal of Computer Vision
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Image Retrieval from the World Wide Web: Issues, Techniques, and Systems
ACM Computing Surveys (CSUR)
Improving the selection of feature points for tracking
Pattern Analysis & Applications
A Performance Evaluation of Local Descriptors
IEEE Transactions on Pattern Analysis and Machine Intelligence
A novel performance evaluation method of local detectors on non-planar scenes
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops - Volume 03
A Comparison of Affine Region Detectors
International Journal of Computer Vision
Towards automatic visual obstacle avoidance
IJCAI'77 Proceedings of the 5th international joint conference on Artificial intelligence - Volume 2
An efficient color representation for image retrieval
IEEE Transactions on Image Processing
Image Matching Using High Dynamic Range Images and Radial Feature Descriptors
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing
Techniques for efficient and effective transformed image identification
Journal of Visual Communication and Image Representation
Accurate Junction Detection and Characterization in Natural Images
International Journal of Computer Vision
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A novel junction detector is presented that fits the neighborhood around a point to a junction model. The junction model segments the neighborhood into wedges by determining a set of radial edges. The radial edges are invariant to affine transforms, creating an affine invariant junction detector. The radial edges are evaluated based upon the pixels along the edge. The angle between the pixel gradient and the vector to the potential junction point forms the initial basis for the measurement. An initial set of radial edges is selected based upon identifying local maximums within a given arc distance. An energy function is applied to the resulting radial segmentation, and a greedy optimization routine is used to construct the minimal set of radial edges. To identify the final junctions, a second energy function is used that combines the components of the first energy function with the resulting change in standard deviation by separation into radial segments. The junctions with the most energy in their local neighborhoods are selected as potential junctions. The neighborhoods about the potential junctions are analyzed to determine if they represent a single line or multiple non-parallel lines. If the neighborhood represents multiple non-parallel lines, the point is classified as a junction point. The junction detector is tested on several images including both synthetic and real images. Highlights of radially segmented junction points are displayed for the real images.