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: An integrated algorithm for labelling the periocular region is described, that uses a unique model to discriminate between seven components in a single-shot: iris, sclera, eyelashes, eyebrows, hair, skin and glasses.
Abstract: Using the periocular region for biometric recognition is an interesting possibility: this area of the human body is highly discriminative among subjects and relatively stable in appearance. In this paper, the main idea is that improved solutions for defining the periocular region-of-interest and better pose / gaze estimates can be obtained by segmenting (labelling) all the components in the periocular vicinity. Accordingly, we describe an integrated algorithm for labelling the periocular region, that uses a unique model to discriminate between seven components in a single-shot: iris, sclera, eyelashes, eyebrows, hair, skin and glasses. Our solution fuses texture / shape descriptors and geometrical constraints to feed a two-layered graphical model (Markov Random Field), which energy minimization provides a robust solution against uncontrolled lighting conditions and variations in subjects pose and gaze.
20 citations
TL;DR: A novel approach of extracting global features from periocular region of poor quality grayscale images for gender classification using independent component analysis and conventional neural network techniques is proposed.
20 citations
TL;DR: Reconstructive principles and techniques are presented that are essential in the prevention of ectropion in lower eyelid malpositions and ocular damage occur with inadequate reconstructions of facial defects that encroach on the periocular region.
20 citations
TL;DR: This study highlights the difficulties in the clinicopathologic diagnosis of periocular MFH and in particular the distinction of more superficial tumors from atypical fibroxanthoma.
Abstract: Purpose: Malignant fibrous histiocytoma (MFH) is a pleomorphic soft tissue sarcoma that occurs rarely in the periocular region. The purpose of this study was to present a case series of periocular MFH and to discuss the differential diagnosis and management.
19 citations
TL;DR: Four different approaches for dynamic optimal template selection from periocular region are proposed and obtained template can be used for recognition of individuals in an organization and can be generalized to recognize every citizen of a nation.
Abstract: A novel approach for selecting a rectangular template around periocular region optimally potential for human recognition is proposed. A comparatively larger template of periocular image than the optimal one can be slightly more potent for recognition, but the larger template heavily slows down the biometric system by making feature extraction computationally intensive and increasing the database size. A smaller template, on the contrary, cannot yield desirable recognition though the smaller template performs faster due to low computation for feature extraction. These two contradictory objectives (namely, (a) to minimize the size of periocular template and (b) to maximize the recognition through the template) are aimed to be optimized through the proposed research. This paper proposes four different approaches for dynamic optimal template selection from periocular region. The proposed methods are tested on publicly available unconstrained UBIRISv2 and FERET databases and satisfactory results have been achieved. Thus obtained template can be used for recognition of individuals in an organization and can be generalized to recognize every citizen of a nation.
19 citations