An Efficient approach for interest points detection in non-rigid shapes
Cristian López del Alamo$^{1}$, Luciano Arnaldo Romero Calla$^{2}$, Lizeth Joseline Fuentes Pérez$^{2}$
$^{1}$Universidad de La Salle. Arequipa Peru,
$^{2}$Universidade Federal Fluminense. Rio de Janeiro Brazil
Schedule:Thu 22st@15:15, Room: D

Due to the increasing amount of data and the reduction of costs in 3D data acquisition devices, there has been a growing interest, in developing efficient and robust feature extraction algorithms for 3D shapes, invariants to isometric, topological and noise changes, among others. One of the key tasks for feature extraction in 3D shapes is the interest points detection; where interest points are salient structures, which can be used, instead of the whole object. In this research, we present a new approach to detect interest points in 3D shapes by analyzing the triangles that compose the mesh which represent the shape, in different way to other algorithms more complex such as Harris 3D or HKS. Our results and experiments of repeatability, confirm that our algorithm is stable and robust, in addition, the computational complexity is O(nlogn), where n represents the number of faces of the mesh.


	author 		= {Cristian López del Alamo and Luciano Arnaldo Romero Calla and Lizeth Joseline Fuentes Pérez},
	title 		= {An Efficient approach for interest points detection in non-rigid shapes},
	booktitle 	= {2015 XLI Latin American Computing Conference (CLEI)},
	pages 		= {62--69},
	year 		= {2015},
	editor 		= {Hector Cancela and Alex Cuadros-Vargas and Ernesto Cuadros-Vargas},
	address 	= {Arequipa-Peru},
	month 		= {October},
	organization 	= {CLEI},
	publisher 	= {CLEI},
	url 		= {},
	isbn 		= {978-1-4673-9143-6},

Generated by Ernesto Cuadros-Vargas , Sociedad Peruana de Computación-Peru, Universidad Católica San Pablo, Arequipa-Perú