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Depth Estimation of Non-rigid Shapes Based on Fibonacci Population Degeneration Particle Swarm Optimization

  • Kothapelli Punnam ChandarEmail author
  • Tirumala Satya Savithri
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 711)

Abstract

In this paper, we address the problem of recovering the shape and motion parameters of non-rigid shape from the 2D observations considering orthographic projection camera model. This problem is nonlinear in nature and the gradient-based optimization algorithms may easily stick in local minima on the other hand and the generic model fitting may result inexact shape. We propose Fibonacci population degeneration particle swarm optimization (fpdPSO) algorithm and used to estimate the shape and motion. We report the shape estimation results on face and shark data set. Pearson Correlation Coefficient is used to measure the accuracy of depth estimation.

Keywords

Non-rigid structure from motion Depth estimation Orthographic projection Particle swarm optimization 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Kothapelli Punnam Chandar
    • 1
    Email author
  • Tirumala Satya Savithri
    • 2
  1. 1.Department of E.C.EUniversity College of Engineering, Kakatiya UniversityKothagudemIndia
  2. 2.Department of E.C.EJawaharlal Nehru Technological UniversityHyderabadIndia

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