A Video Database of Human Faces under Near Infra-Red Illumination for Human Computer Interaction Aplications
Human Computer Interaction (HCI) is an evolving area of research for coherent communication between computers and human beings. Some of the important applications of HCI as reported in literature are face detection, face pose estimation, face tracking and eye gaze estimation. Development of algorithms for these applications is an active field of research. However, availability of standard database to validate such algorithms is insufficient. This paper discusses the creation of such a database created under Near Infra-Red (NIR) illumination. NIR illumination has gained its popularity for night mode applications since prolonged exposure to Infra-Red (IR) lighting may lead to many health issues. The database contains NIR videos of 60 subjects in different head orientations and with different facial expressions, facial occlusions and illumination variation. This new database can be a very valuable resource for development and evaluation of algorithms on face detection, eye detection, head tracking, eye gaze tracking etc. in NIR lighting.
Code (0)
등록된 구현이 없습니다.
Tasks
Face DetectionGaze EstimationPose EstimationSimilar Papers 제목 키워드 기반
A Groupwise Multilinear Correspondence Optimization for 3D Faces
Multilinear face models are widely used to model the space of human faces with expressions. For databases of 3D human faces of different identities performing multiple expressions, these statistical shape models decouple…
3D Face ModellingFace ModelLearning to Predict Salient Faces: A Novel Visual-Audio Saliency Model
Recently, video streams have occupied a large proportion of Internet traffic, most of which contain human faces. Hence, it is necessary to predict saliency on multiple-face videos, which can provide attention cues for ma…
Saliency PredictionNo-Reference Video Quality Assessment Based on Benford’s Law and Perceptual Features
No-reference video quality assessment (NR-VQA) has piqued the scientific community’s interest throughout the last few decades, owing to its importance in human-centered interfaces. The goal of NR-VQA is to predict the pe…
No-Reference Image Quality AssessmentVideo Quality AssessmentVisual Question Answering (VQA)A database for face presentation attack using wax figure faces
Compared to 2D face presentation attacks (e.g. printed photos and video replays), 3D type attacks are more challenging to face recognition systems (FRS) by presenting 3D characteristics or materials similar to real faces…
DiversityFace Presentation Attack DetectionFace RecognitionSmall Data Image ClassificationSPECFACE - A Dataset of Human Faces Wearing Spectacles
This paper presents a database of human faces for persons wearing spectacles. The database consists of images of faces having significant variations with respect to illumination, head pose, skin color, facial expressions…
Face Detection