Partial Shape Recognition: A Landmark-Based Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
Partial Shape Classification Using Contour Matching in Distance Transformation
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Efficiently Computable Metric for Comparing Polygonal Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Partial matching of planar polylines under similarity transformations
SODA '97 Proceedings of the eighth annual ACM-SIAM symposium on Discrete algorithms
Shock Graphs and Shape Matching
International Journal of Computer Vision
A guided tour to approximate string matching
ACM Computing Surveys (CSUR)
Geometric Hashing: An Overview
IEEE Computational Science & Engineering
Comparing Images Using the Hausdorff Distance
IEEE Transactions on Pattern Analysis and Machine Intelligence
Optimal spanners for axis-aligned rectangles
Computational Geometry: Theory and Applications
Multimedia Retrieval Algorithmics
SOFSEM '07 Proceedings of the 33rd conference on Current Trends in Theory and Practice of Computer Science
Shape Matching by Random Sampling
WALCOM '09 Proceedings of the 3rd International Workshop on Algorithms and Computation
PIA'11 Proceedings of the 2011 ISPRS conference on Photogrammetric image analysis
Shape matching by random sampling
Theoretical Computer Science
The mean boundary curve of anatomical objects
ACIVS'12 Proceedings of the 14th international conference on Advanced Concepts for Intelligent Vision Systems
Alignment and morphing for the boundary curves of anatomical organs
SSPR'12/SPR'12 Proceedings of the 2012 Joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
Technical note: Puzzhull: Cavity and protrusion hierarchy to fit conformal polygons
Computer-Aided Design
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We introduce a measure for computing the similarity between multiple polylines and a polygon, that can be computed in O(km2n2) time with a straightforward dynamic programming algorithm. We then present a novel fast algorithm that runs in time O(kmn logmn). Here, m denotes the number of vertices in the polygon, and n is the total number of vertices in the k polylines that are matched against the polygon. The effectiveness of the similarity measure has been demonstrated in a part-based retrieval application with known ground-truth.