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
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
Shape retrieval and recognition on mobile devices
MUSCLE'11 Proceedings of the 2011 international conference on Computational Intelligence for Multimedia Understanding
| Hi-index | 0.00 |
This paper presents a contour-based indexing and retrieval method for content-based image/video retrieval applications. It is based on extracting closed contours, smoothing the contour, indexing with a variation of BK-trees, and using a turning function metric for data comparison. The method is very lightweight, fast and robust - the goal being retaining close to realtime speeds for real applicability. We provide evaluation data showing that the method performs well and fast, and is suitable for inclusion into content based retrieval systems as a descriptor for recognition of in-frame objects and shapes.