Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12104/64572
Title: Bio-inspired aging model-particle swarm optimization and geometric algebra for structure from motion
Author: Arana-Daniel, N.
Villasenor, C.
Lopez-Franco, C.
Alanis, A.Y.
Issue Date: 2014
Abstract: On computer vision field Structure from Motion (SfM) algorithms offer good advantages for numerous applications (augmented reality, autonomous navigation, motion capture, remote sensing, object recognition, image-base 3D modeling, among others), nevertheless, these algorithms show some weakness; in the present paper we propose the use of Bio-inspired Aging Model-PSO (BAM-PSO) to improve the accuracy of SfM algorithms. The BAM-PSO algorithm is used over a Geometric Algebra (GA) framework in order to compute the rigid movement on images and this allows us to obtain a numerically stable algorithm. © Springer International Publishing Switzerland 2014.
URI: http://hdl.handle.net/20.500.12104/64572
Appears in Collections:Producción científica UdeG (prueba)

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