DRTFace lib
[Detect | Recognize | Track] Face
Introduction
DRTFace is a C++ library, which allows for real-time detection, tracking and recognition of faces and objects in videos and image sequences. It can estimate gender, age, race and emotions
Human analytics is the capture and analysis of measured human responses and behavior. Our face analysis algorithms are able to recognize and understand how people feel in video. Main keyfeatures of the library are:
- Arbitrary number of faces
- Position of the face, the eyes, nose and mouth
- Gender and race classification
- Age estimation
- Emotions recognition (“sad”, “calm”, and “happy”)
Hyperlapse Stabilization
Project X Hyperlapse Stabilization is a technology that removes annoying shaky motion from videos and creates smooth and stabilized time lapses from image sequences. Video stabilization is an important video enhancement technology which is in great demand in timelapse and hyperlapse photography. We dewelop a practical and robust approach of video stabilization that produces stabilized videos with good visual quality:
DRTFace in Publications
- Using Active Illumination for Accurate Variational Space-Time Stereo
in proc. of the Scandinavian Conference on Image Analysis (SCIA’11) - Rapid Stereo-Vision Enhanced Face Recognition
in proc. of the IEEE International Conference on Image Processing (ICIP’10)
- Accurate Real-Time Disparity Estimation with Variational Methods
in proc. of the 5th International Symposium on Visual Computing (ISVC’09) - Rapid Stereo-Vision Enhanced Face Detection
in proc. of the IEEE International Conference on Image Processing (ICIP’09)
