| dc.contributor.author | Singh, Aarti (19SBAS1130006) | |
| dc.contributor.author | Joshi, Sagar (19SBAS1130015) | |
| dc.contributor.author | Sharma, Sanskar (19SBAS1130014) | |
| dc.contributor.author | Garg, Dr. Vanita - SUPERVISOR | |
| dc.date.accessioned | 2022-11-03T07:35:49Z | |
| dc.date.available | 2022-11-03T07:35:49Z | |
| dc.date.issued | 2022-05-06 | |
| dc.identifier.uri | http://10.10.11.6/handle/1/10438 | |
| dc.description | Optimization is the process of selecting the best option among the available options. It provides us with a set
of instruments, mostly drawn from computer science and mathematics, that may be applied to practically any
field, including business, industry, biology, physics, medical data mining, engineering, and even the fine arts.
Advanced matrix computation techniques and methods, graph theory, and optimization are being used more
and more in the data mining industry. These techniques define data mining tasks as optimization problems
with matrix variables and describe the data using a matrix representation (the graphs are represented by their
adjacency matrix). With these, the effort of data mining is reduced to the process of minimising or maximising
the anticipated objective function of the matrix's variables. | en_US |
| dc.description.abstract | Particle Swarm Optimization is a very effective Nature influenced innovation that relic widely
used in solving many real-world problems over the years. This paper is an attempt to embed
different mutation schemes in PSO and testing the different versions of PSO on camera
calibration problem. One of the more challenging real-world issues in the realm of image
processing is the calibration of cameras. The ideal parameter value for achieving the shortest
pixel length is investigated in this research using the enlarged Particle Swarm Optimization
approach. The results obtained in the empirical section of the paper suggest that PSO has
proved to be a better version while embedding different mutation strategies for this problem. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | GALGOTIAS UNIVERSITY | en_US |
| dc.subject | Particle Swarm Optimization, | en_US |
| dc.subject | Camera calibration problem | en_US |
| dc.title | Embedded Mutation Strategies in Particle Swarm Optimization for Solving Camera Calibration Problem | en_US |
| dc.type | Article | en_US |
