2024-03-29T16:04:12Zhttps://repositori.uji.es/oai/requestoai:repositori.uji.es:10234/753902021-07-13T15:48:58Zcom_10234_43662com_10234_9col_10234_43643
00925njm 22002777a 4500
dc
Palazón González, Vicente
author
Marzal Varó, Andrés
author
2012
In the last years, in shape retrieval, methods based on Dynamic Time Warping and sequences where each point of the contour is represented by elements of several dimensions have had a significant presence. In this approach each point of the closed contour contains information with respect to the other ones, this global information is very discriminant. The current state-of-the-art shape retrieval is based on the analysis of these distances to learn better ones.
These methods are robust to noise and invariant to transformations, but, they obtain the invariance to the starting point with a brute force cyclic alignment which has a high computational time. In this work, we present the Cyclic Dynamic Time Warping. It can obtain the cyclic alignment in O(n2 log n) time, where n is the size of both sequences. Experimental results show that our proposal is a better alternative than the brute force cyclic alignment and other heuristics for obtaining this invariance.
Image and Vision Computer, 30, 12, p. 978–990
0262-8856
http://hdl.handle.net/10234/75390
http://dx.doi.org/10.1016/j.imavis.2012.08.012
cyclic sequences
cyclic strings
dynamic time warping
shape retrieval
shape recognition
On the Dynamic Time Warping of Cyclic Sequences for Shape Retrieval