Periocular Region

About: Periocular Region is a research topic. Over the lifetime, 256 publications have been published within this topic receiving 4424 citations.

Periocular biometrics: databases, algorithms and directions

Abstract: Periocular biometrics has been established as an independent modality due to concerns on the performance of iris or face systems in uncontrolled conditions. Periocular refers to the facial region in the eye vicinity, including eyelids, lashes and eyebrows. It is available over a wide range of acquisition distances, representing a trade-off between the whole face (which can be occluded at close distances) and the iris texture (which do not have enough resolution at long distances). Since the periocular region appears in face or iris images, it can be used also in conjunction with these modalities. Features extracted from the periocular region have been also used successfully for gender classification and ethnicity classification, and to study the impact of gender transformation or plastic surgery in the recognition performance. This paper presents a review of the state of the art in periocular biometric research, providing an insight of the most relevant issues and giving a thorough coverage of the existing literature. Future research trends are also briefly discussed.

Non-overlapped blockwise interpolated local binary pattern as periocular feature

Abstract: Most of the prominent features of human face are present in the ocular area, referred as the periocular region. Complex and dense features in these regions makes it a candidate to be used as a biometric trait. This paper discusses an effective method for periocular recognition using non-overlapped blockwise interpolated local binary pattern (iLBP) features. For a given periocular image, an iLBP coded feature image is obtained and further divided into four equal non-overlapping sub-regions. From each sub-region having iLBP pattern, eight bin histogram features are calculated. A single feature vector is formed by concatenating blocked histograms of each non-overlapping region. Binned histogram based feature is also extracted using Phase Intensive Global Pattern (PIGP) features for comparison of results. Experiments are conducted on UBIRIS.v1 and UBIPr.v2 datasets. From the experiments, it is observed that selected histogram feature bins through the proposed approach provide a more compact representation of periocular image and size of the feature vector is also reduced with significant improvement in performance.

Botulinum toxin – an update on its use in facial rejuvenation

Abstract: Summary The role of botulinum toxin in facial rejuvenation has been greatly expanded in the last several years. In this article, we first review the traditional approach to botulinum toxin therapy in the forehead and glabella. For the advanced reader, we then discuss both the literature and our personal approaches to treatments of the periocular region, mid face, lower face, and neck. Throughout the discussion, attempts are made to include a description of relevant anatomy, the physiologic result of specific muscle activity and denervation, and perhaps most importantly, precise directions for patient treatment.