Uniqueness of the Gaussian Kernel for Scale-Space Filtering
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
Scale-Space for Discrete Signals
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape representation and recognition from multiscale curvature
Computer Vision and Image Understanding
Curvature Scale Space Representation: Theory, Applications, and MPEG-7 Standardization
Curvature Scale Space Representation: Theory, Applications, and MPEG-7 Standardization
IJCAI'83 Proceedings of the Eighth international joint conference on Artificial intelligence - Volume 2
Clustering time-series medical databases based on the improved multiscale matching
ISMIS'05 Proceedings of the 15th international conference on Foundations of Intelligent Systems
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In this paper, we propose a multiscale comparison method for three-dimensional trajectories based on the maxima on the curvature scale space. We define a segment as a partial trajectory between two adjacent maxima where curvature becomes locally maximal. Then we trace the place of maxima across the scales in order to obtain the hierarchy of segments. By applying segment-based matching technique, we obtain the best correspondences between partial trajectories. We demonstrate in a preliminary experiment that our method could successfully capture the structural similarity of three-dimensional trajectories.