scispace - formally typeset
Proceedings ArticleDOI

Unraveling Human Perception of Facial Aging Using Eye Gaze

TLDR
Eye gaze is utilized as a medium to unravel the cues utilized by humans for the perception of facial aging and explore the tasks of face age estimation and age-separate face verification and analyze the eye gaze patterns of participants to understand the strategy followed by human participants.
Abstract
Continuous efforts are being made to understand human perception network with the purpose of developing enhanced computational models for vision-based tasks. In this paper, we utilize eye gaze as a medium to unravel the cues utilized by humans for the perception of facial aging. Specifically, we explore the tasks of face age estimation and age-separate face verification and analyze the eye gaze patterns of participants to understand the strategy followed by human participants. To facilitate this, eye gaze data from 50 participants is acquired using two different eye gaze trackers: Eye Tribe and GazePoint GP3. Comprehensive analysis of various eye movement metrics is performed with respect to different face parts to illustrate their relevance for age estimation and age-separated face verification tasks.

read more

Content maybe subject to copyright    Report

Citations
More filters
Book ChapterDOI

Gaze Tracking: A Survey of Devices, Libraries and Applications

TL;DR: In this paper , the most used devices and libraries in gaze tracking solutions in the last 5 years as well as the most important characteristics of each of them are presented, based on features such as price, technical performance and compatibility.
References
More filters
Journal ArticleDOI

Face Verification via Learned Representation on Feature-Rich Video Frames

TL;DR: Experimental analysis suggests that the proposed feature-richness-based frame selection offers noticeable and consistent performance improvement compared with frontal only frames, random frames, or frame selection using perceptual no-reference image quality measures and joint feature learning in SDAE and sparse and low rank regularization in DBM helps in improving face verification performance.
Journal ArticleDOI

Gaze behavior in face comparison: the roles of sex, task, and symmetry.

TL;DR: Interestingly, observers compared predominantly the inner halves of the face stimuli—a result inconsistent with the general left-hemiface bias reported for single faces, and fixation patterns and performance differed between tasks, independently of stimulus type.
Proceedings ArticleDOI

Towards Measuring and Inferring User Interest from Gaze

TL;DR: The relationship between mobile users' implicit interest inferred from attention metrics, such as eye gaze or viewport time, and explicit interest expressed by users is investigated and a prediction model is built that is able to infer a user's interest ratings from the the non-click actions of the user.
Proceedings ArticleDOI

Bacteria Foraging Fusion for Face Recognition across Age Progression

TL;DR: The proposed algorithm mitigates the effect of facial changes caused due to aging by combining the LBP features of global and local facial regions at match score level, by means of the bacteria foraging fusion algorithm.
Journal ArticleDOI

Recognizing Age-Separated Face Images: Humans and Machines

TL;DR: This research investigates which facial cues are utilized by humans for estimating the age of people belonging to various age groups along with analyzing the effect of one's gender, age, and ethnicity on age estimation skills and proposes an age-invariant face recognition algorithm that incorporates the knowledge learned.
Related Papers (5)