Feature Based Correspondence: A Comparative Study on Image Matching Algorithms

Abstract

Image matching and recognition are the crux of computer vision and have a major part to play in everyday lives. From industrial robots to surveillance cameras, from autonomous vehicles to medical imaging and from missile guidance to space exploration vehicles computer vision and hence image matching is embedded in our lives. This communication presents a comparative study on the prevalent matching algorithms, addressing their restrictions and providing a criterion to define the level of efficiency likely to be expected from an algorithm. The study includes the feature detection and matching techniques used by these prevalent algorithms to allow a deeper insight. The chief aim of the study is to deliver a source of comprehensive reference for the researchers involved in image matching, regardless of specific applications.

Authors and Affiliations

Usman Babri, Munim Tanvir, Khurram Khurshid

Keywords

Related Articles

Implementation of Efficient Speech Recognition System on Mobile Device for Hindi and English Language

Speech recognition or speech to text conversion has rapidly gained a lot of interest by large organizations in order to ease the process of human to machine communication. Optimization of the speech recognition process i...

Solution of Electromagnetic and Velocity Fields for an Electrohydrodynamic Fluid Dynamical System

We studied the temporal evolution of the electromagnetic and velocity fields in an incompressible conducting fluid by means of computer simulations from the Navier Stokes and Maxwell’s equations. We then derived the se...

ABJAD Arabic-Based Encryption

The researcher introduced an enhanced classical Arabic-based encryption technique that is essentially designed for Arab nations. The new algorithm uses the shared key technique where the Keyword system Modulus is employe...

Developement of Bayesian Networks from Unified Modeling Language for Learner Modelling

First of all, and to clarify our purpose, it seems important to say that the work we are presenting here lie within the framework of learner modeling in an adaptive system understood as computational modeling of the lear...

Storage Consumption Reduction using Improved Inverted Indexing for Similarity Search on LINGO Profiles

Millions of compounds which exist in huge datasets are represented using Simplified Molecular-Input Line- Entry System (SMILES) representation. Fragmenting SMILES strings into overlapping substrings of a defined size cal...

Download PDF file
  • EP ID EP90597
  • DOI 10.14569/IJACSA.2016.070329
  • Views 131
  • Downloads 0

How To Cite

Usman Babri, Munim Tanvir, Khurram Khurshid (2016). Feature Based Correspondence: A Comparative Study on Image Matching Algorithms. International Journal of Advanced Computer Science & Applications, 7(3), 206-210. https://europub.co.uk/articles/-A-90597