Topic
Periocular Region
About: Periocular Region is a research topic. Over the lifetime, 256 publications have been published within this topic receiving 4424 citations.
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TL;DR: A 75‐year‐old Caucasian woman with tuberculosis of the left periocular region which responded completely to standard antituberculosis therapy is described, hypothesized to be due to minor trauma followed by inoculation.
Abstract: Periocular cutaneous tuberculosis is a rare occurrence. We describe a 75-year-old Caucasian woman with tuberculosis of the left periocular region which responded completely to standard antituberculosis therapy. We hypothesize this unusual presentation may be due to minor trauma followed by inoculation.
15 citations
Book•
05 Dec 2003
TL;DR: This chapter discusses Blepharoplasty, a type of reconstructive surgery focusing on the reconstruction of the orbiculares of the eye, which is commonly known as the “window of opportunity” for blind people.
Abstract: 1. Anatomy 2. Evaluation of the Patient 3. Eyelid Malpositions 4. Blepharoplasty (Upper Lid) 5. Blepharoplasty (Lower Lid) 6. Transconjunctival Blepharoplasty 7. Tarsal Tuck and Fat Redistribution 8. Ptosis and Lid Retraction (Upper) 9. Mid Face and Lateral Canthus 10. The Eyebrow and Lacrimal Gland 11. Cosmetic Cranio-Orbital Surgery 12. Laser Resurfacing in the Periocular Region 13. Complications in Blepharoplasty
15 citations
TL;DR: Seven different off-the-shelf deep learning based Convolutional Neural Networks using transfer learning approach are implemented on UBIPr database and experimental results demonstrated that for images with pose variation VGG 19 obtained maximum recognition accuracy while for matching of two different side of periocular region Res Net 18 outperform others.
15 citations
14 citations
01 Oct 2017
TL;DR: The periocular region has a similar level of performance of the face region using only 25% data of the complete face, according to a comparison between FRGC and FERET databases.
Abstract: Biometrie systems have become a vital part of our present day automated systems. Every individual has its unique biometrie features in terms of Face, Iris and periocular regions. Identification/Recognition of a person by using these biometrie features is significantly studied over the last decade to build robust systems. The periocular region has become the powerful alternative for unconstrained biometrics with better robustness and high discrimination ability. In the proposed paper local descriptor Local Binary Patterns (LBP), is used for the feature extraction of discriminative features from the regions of full face, periocular and city block distance is used as a classifier. FRGC and FERET databases are utilized for the experimentation to compare the performance of both periocular and face biometric modalities and it showed that the periocular region has a similar level of performance of the face region using only 25% data of the complete face.
14 citations