International Journal of Computer Vision
Geometric interpretation of joint conic invariants
Geometric invariance in computer vision
Geometric invariants and object recognition
International Journal of Computer Vision
Foundations of semi-differential invariants
International Journal of Computer Vision
Planar object recognition using projective shape representation
International Journal of Computer Vision
Semi-local projective invariants for the recognition of smooth plane curves
International Journal of Computer Vision
Invariants of Families of Coplanar Conics and Their Applicationsto Object Recognition
Journal of Mathematical Imaging and Vision
Computer Vision and Image Understanding
Shape Matching and Object Recognition Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Object Recognition for Video Retrieval
CIVR '02 Proceedings of the International Conference on Image and Video Retrieval
In defence of the 8-point algorithm
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Appearance-Based Object Recognition Using Shape-From-Shading
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 1 - Volume 1
Object Recognition from Local Scale-Invariant Features
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
A new point matching algorithm for non-rigid registration
Computer Vision and Image Understanding - Special issue on nonrigid image registration
Revisiting Hartley's Normalized Eight-Point Algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Classical Theory of Invariants and Object Recognition Using Algebraic Curve and Surfaces
Journal of Mathematical Imaging and Vision
Covariant-Conics Decomposition of Quartics for 2D Shape Recognition and Alignment
Journal of Mathematical Imaging and Vision
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Recognition of Shapes by Editing Their Shock Graphs
IEEE Transactions on Pattern Analysis and Machine Intelligence
Affine Invariant Multiscale Wavelet-Based Shape Matching Algorithm
CRV '04 Proceedings of the 1st Canadian Conference on Computer and Robot Vision
Efficient Shape Matching Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Integral Invariants for Shape Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
An introduction to ROC analysis
Pattern Recognition Letters - Special issue: ROC analysis in pattern recognition
Shape Classification Using the Inner-Distance
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pattern Recognition
A differential geometric approach to representing the human actions
Computer Vision and Image Understanding
Integral invariants for robust geometry processing
Computer Aided Geometric Design
Shape context and chamfer matching in cluttered scenes
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
High-Order differential geometry of curves for multiview reconstruction and matching
EMMCVPR'05 Proceedings of the 5th international conference on Energy Minimization Methods in Computer Vision and Pattern Recognition
Object recognition and tracking for remote video surveillance
IEEE Transactions on Circuits and Systems for Video Technology
A semantic framework for intelligent matchmaking for clinical trial eligibility criteria
ACM Transactions on Intelligent Systems and Technology (TIST) - Survey papers, special sections on the semantic adaptive social web, intelligent systems for health informatics, regular papers
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This paper introduces a new representation for planar objects which is invariant to projective transformation. Proposed representation relies on a new shape basis which we refer to as the conic basis. The conic basis takes conic-section coefficients as its dimensions and represents the object as a convex combination of conic-sections. Pairs of conic-sections in this new basis and their projective invariants provides the proposed view invariant representation. We hypothesize that two projectively transformed versions of an object result in the same representation. We show that our hypothesis provides promising recognition performance when we use the nearest neighbor rule to match projectively deformed objects.