A Novel Bundle Adjustment Approach Based on Guess-Aided and Angle Quantization Multiobjective Particle Swarm Optimization (GAMOPSO) for 3D Reconstruction Applications-Reference-Cited by-同舟云学术

A Novel Bundle Adjustment Approach Based on Guess-Aided and Angle Quantization Multiobjective Particle Swarm Optimization (GAMOPSO) for 3D Reconstruction Applications

Published:2022 Issue: Volume:10 Page:71508-71520
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Alndiwee Maher¹^ORCID,Al-Mahairi Mohamed Mazen¹,Hamdan Raouf¹

Affiliation:

1. Department of Computer and Automation Engineering, Faculty of Mechanical and Electrical Engineering, Damascus University, Damascus, Syria

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09810248.pdf?arnumber=9810248

Reference22 articles.

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3. Multiobjective evolutionary algorithms: Classifications, analyses and new innovations;van veldhuizen,1999

4. Multiobjective optimization and multiple constraint handling with evolutionary algorithms. I. A unified formulation

5. Hybridization of a multi-objective genetic algorithm, a neural network and a classical optimizer for a complex design problem in fluid dynamics

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