ArticleIEEE International Conference on Automatic Face & Gesture Recognition and Workshops2015
IntraFace.
Article in IEEE International Conference on Automatic Face & Gesture Recognition and Workshops, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
23 citing papers in PubMed.
- Use of computer vision analysis for labeling inattention periods in EEG recordings with visual stimuli.Scientific reports · 2025Article
- Article
- Py-Feat: Python Facial Expression Analysis Toolbox.Affective science · 2023Article
- Relationship between quantitative digital behavioral features and clinical profiles in young autistic children.Autism research : official journal of the International Society for Autism Research · 2023Article
- Unraveling dyadic psycho-physiology of social presence between strangers during an audio drama - a signal-analysis approach.Frontiers in psychology · 2023Article
- A scalable computational approach to assessing response to name in toddlers with autism.Journal of child psychology and psychiatry, and allied disciplines · 2021Article
- Computational Methods to Measure Patterns of Gaze in Toddlers With Autism Spectrum Disorder.JAMA pediatrics · 2021Article
- Digital Behavioral Phenotyping Detects Atypical Pattern of Facial Expression in Toddlers with Autism.Autism research : official journal of the International Society for Autism Research · 2021Article
- Predicting individual emotion from perception-based non-contact sensor big data.Scientific reports · 2021Article
- Facial Expression Recognition of Instructor Using Deep Features and Extreme Learning Machine.Computational intelligence and neuroscience · 2021Article
- Detection of Genuine and Posed Facial Expressions of Emotion: Databases and Methods.Frontiers in psychology · 2020Review
- Computer vision analysis captures atypical attention in toddlers with autism.Autism : the international journal of research and practice · 2019Article
- Learning Facial Action Units with Spatiotemporal Cues and Multi-label Sampling.Image and vision computing · 2019Article
- Atypical postural control can be detected via computer vision analysis in toddlers with autism spectrum disorder.Scientific reports · 2018Article
- A Brief Review of Facial Emotion Recognition Based on Visual Information.Sensors (Basel, Switzerland) · 2018Article
- A Comparative Survey of Methods for Remote Heart Rate Detection From Frontal Face Videos.Frontiers in bioengineering and biotechnology · 2018Article
- A Branch-and-Bound Framework for Unsupervised Common Event Discovery.International journal of computer vision · 2017Article
- Canny edge-based deformable image registration.Physics in medicine and biology · 2017Article
- Confidence Preserving Machine for Facial Action Unit Detection.IEEE transactions on image processing : a publication of the IEEE Signal Processing Society · 2016Article
- Unsupervised Synchrony Discovery in Human Interaction.Proceedings. IEEE International Conference on Computer Vision · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Within the last 20 years, there has been an increasing interest in the computer vision community in automated facial image analysis algorithms. This has been driven by applications in animation, market research, autonomous-driving, surveillance, and facial editing among others. To date, there exist several commercial packages for specific facial image analysis tasks such as facial expression recognition, facial attribute analysis or face tracking. However, free and easy-to-use software that incorporates all these functionalities is unavailable. This paper presents IntraFace (IF), a publicly-available software package for automated facial feature tracking, head pose estimation, facial attribute recognition, and facial expression analysis from video. In addition, IFincludes a newly develop technique for unsupervised synchrony detection to discover correlated facial behavior between two or more persons, a relatively unexplored problem in facial image analysis. In tests, IF achieved state-of-the-art results for emotion expression and action unit detection in three databases, FERA, CK+ and RU-FACS; measured audience reaction to a talk given by one of the authors; and discovered synchrony for smiling in videos of parent-infant interaction. IF is free of charge for academic use at http://www.humansensing.cs.cmu.edu/intraface/.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.