Some approaches to best-match file searching
Communications of the ACM
Object Recognition from Local Scale-Invariant Features
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Investigating Hidden Markov Models' Capabilities in 2D Shape Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recognition of Shapes by Editing Their Shock Graphs
IEEE Transactions on Pattern Analysis and Machine Intelligence
Curvature Maps for Local Shape Comparison
SMI '05 Proceedings of the International Conference on Shape Modeling and Applications 2005
Information Sciences: an International Journal
An Algorithm for Binary Contour Objects Representation and Recognition
ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part III
A comparison of shape matching methods for contour based pose estimation
IWCIA'06 Proceedings of the 11th international conference on Combinatorial Image Analysis
Hidden Markov Model-Based Weighted Likelihood Discriminant for 2-D Shape Classification
IEEE Transactions on Image Processing
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This paper presents a proof-of-concept shape/contour-based visual recognition and retrieval approach with the main goal of lightweight implementation on mobile devices locally, not relying on network connection or server side processing. In such circumstances the focus needs to be on effectiveness and simplicity, while still preserving high level of functionality (i.e. good recognition). Application areas involve offline object recognition and template matching (e.g. for authorization and blind aid applications), and various object categorizations either in pre-processing or in full local processing.