A Compact Sift-Based Strategy for Visual Information Retrieval in Large Image Databases

Journal Title: UNKNOWN - Year 2019, Vol 3, Issue 2

Abstract

This paper applies the Standard Scale Invariant Feature Transform (S-SIFT) algorithm to accomplish the image descriptors of an eye region for a set of human eyes images from the UBIRIS database despite photometric transformations. The core assumption is that textured regions are locally planar and stationary. A descriptor with this type of invariance is sufficient to discern and describe a textured area regardless of the viewpoint and lighting in a perspective image, and it permits the identification of similar types of texture in a figure, such as an iris texture on an eye. It also enables to establish the correspondence between texture regions from distinct images acquired from different viewpoints (as, for example, two views of the front of a house), scales and/or subjected to linear transformations such as translation. Experiments have confirmed that the S-SIFT algorithm is a potent tool for a variety of problems in image identification.

Authors and Affiliations

Bernardo F Cruz, Joaquim T de Assis, Vania V Estrela, Abdeldjalil KHELASSI

Keywords

Related Articles

Automatic segmentation of the sphenoid sinus in CT-scans volume with DeepMedics 3D CNN architecture

Today, researchers are increasingly using manual, semi-automatic, and automatic segmentation techniques to delimit or extract organs from medical images. Deep learning algorithms are increasingly being used in the area o...

Exploration of the antithrombotic effect of a C type lectin purified from Cerastes cerastes venom by protein-protein docking

Background: Thromboembolic diseases are a major clinical problem due to their high prevalence and their often fatal consequences. In the present study, an anticoagulant galactoside binding C type lectin “Cc-Lec” was puri...

Report on the Second International Conference on Health Sciences and Medical Technologies

ICHSMT'17: the second edition of International Conference on Health Sciences and Medical Technologies 2017 held from 10 to 12 October 2017 at Tlemcen, Algeria. With the cooperation of Knowledge Kingdom Publishing and Me...

Spontaneous Preterm Labor/ Premature Rupture Of Fetal Membranes SPL/PROM: HIGHER ASSOCIATION WITH LOW SOCIOECONOMIC STATUS

BACKGROUND:Different studies have already shown some form of correlation between low socio-economicstandards and increased rate of spontaneous preterm labor (SPL). The specific incidence ofpremature rupture of fetal memb...

Serum Total Homocysteine Level in Association with Folate and Vitamin B12 Status Among Algerian Prostate Cancer Patients

Background: Folate, vitamin B12 and homocysteine are essential for methyl group metabolism and thus also for DNA methylation and metabolic disorders may lead to carcinogenesis metabolic disorders, which may lead to...

Download PDF file
  • EP ID EP648602
  • DOI 10.26415/2572-004X-vol3iss2p402-412
  • Views 65
  • Downloads 0

How To Cite

Bernardo F Cruz, Joaquim T de Assis, Vania V Estrela, Abdeldjalil KHELASSI (2019). A Compact Sift-Based Strategy for Visual Information Retrieval in Large Image Databases. UNKNOWN, 3(2), 402-412. https://europub.co.uk/articles/-A-648602