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.
Author supplied keywords
Cite
CITATION STYLE
Arana-Daniel, N., Villaseñor, C., López-Franco, C., & Alanís, A. Y. (2014). Bio-inspired aging model-particle swarm optimization and Geometric Algebra for structure from motion. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8827, pp. 762–769). Springer Verlag. https://doi.org/10.1007/978-3-319-12568-8_92
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
