136 datasets found

The dataset is used for age estimation, and it contains images of adults with ages ranging from 0 to 100 years old.

The Extended Yale B dataset contains 64 images for each of 38 individuals in frontal view and different illumination conditions.

The CMU faces dataset contains 624 images of 20 persons with different poses and expressions, with and without sunglasses.

Face presentation attack detection (PAD) is critical to secure face recognition (FR) applications from presentation attacks. FR performance has been shown to be unfair to...

Poof: Part-based one-vs.-one features for fine-grained categorization, face verification, and attribute estimation.

Extended Labeled Faces in-the-Wild (ELFW) dataset is an extension of the Labeled Faces in-the-Wild (LFW) dataset, with additional face-related categories and synthetic objects.

This work has been completed with collaborators Candice Schumann, Han-Chin Shing, John P. Dickerson, and Philip Resnik

The Labeled Face in the Wild (LFW) dataset is a large-scale face recognition dataset containing over 13,000 images of 130 individuals.

A dataset of 105 individuals with varying poses, head rotations, and occlusions.

A dataset of 118 individuals with a variety of facial expressions and corresponding depth profiles.

The Labeled Faces in the Wild (LFW) dataset contains 13,233 images from 5,749 identities, with large variations in pose, expression and illumination.

The dataset used in the paper is the CMU-PIE face dataset, which contains images of 67 subjects with 13 different poses and 21 different illuminations.

Face authentication is being increasingly used in our daily life for tasks such as phone unlocking, access authentication and face-payment owing to its convenience and...

Face authentication is being increasingly used in our daily life for tasks such as phone unlocking, access authentication and face-payment owing to its convenience and...

Face authentication is being increasingly used in our daily life for tasks such as phone unlocking, access authentication and face-payment owing to its convenience and...

Face authentication is being increasingly used in our daily life for tasks such as phone unlocking, access authentication and face-payment owing to its convenience and...

Face anti-spoofing is an important task to protect the se–curity of face recognition. Most of previous work either struggle to capture discriminative and generalizable fea–ture...

The megaface benchmark: 1 million faces for recognition at scale.

Face parsing, aiming to assign pixel-level semantic labels for face images, has attracted much attention due to its wide application potentials, such as facial beautification,...

A method for mitigating bias in face recognition systems.