Abstract
This chapter includes the results of the PSO\(+\)EPD algorithm when estimating hand postures from a completely random initial posture. In hand recovery, when tracking is lost, or in the first frame, once hand posture estimation starts the hand posture should be found from a random initial guess (when using generative methods). In case of a correct hand posture estimation, each frame utilises the previous frame, which significantly reduces the difficulty for the optimisation algorithm.
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Reference
Oikonomidis I, Kyriazis N, Argyros AA (2011) Efficient model-based 3d tracking of hand articulations using kinect. In: BMVC, vol 1, p 3
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Saremi, S., Mirjalili, S. (2020). Hand Recovery for Geometry-Based Models Using EPD-Based Particle Swarm Optimisation. In: Optimisation Algorithms for Hand Posture Estimation. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-13-9757-8_6
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DOI: https://doi.org/10.1007/978-981-13-9757-8_6
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Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-9756-1
Online ISBN: 978-981-13-9757-8
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