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https://github.com/tibaes/awesome-biometrics

A curated list of biometrics related material
https://github.com/tibaes/awesome-biometrics

List: awesome-biometrics

awesome awesome-list biometrics computer-vision image-processing machine-learning

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A curated list of biometrics related material

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# Awesome Biometrics
[![Awesome](https://awesome.re/badge.svg)](https://awesome.re)

A curated list of biometrics related material.

##

## Face
- [TFace - Framework for face recognition algorithms research](https://github.com/Tencent/TFace)
- [STASM - Face landmarks model](http://www.milbo.users.sonic.net/stasm/)

## High level frameworks
- [**MediaPipe** - Framework for face detection, landmarks, iris and tracking](https://github.com/google/mediapipe)
- [**OpenCV** - Computer Vision framework (Python, C++, Julia)](https://github.com/opencv/opencv)
- [OpenBiometrics - Framework for biometrics algorithms research](https://github.com/biometrics/openbr)
- [Halide - C++ Framework for high performance programming](http://halide-lang.org)
- [DLib - Framework with useful algorithms for face, vision and generic programming](http://dlib.net)
- [Point Cloud Library - Framework for 3D data processing](http://pointclouds.org)
- [Google TensorFlow](http://www.tensorflow.org)
- [MS DMLK](http://www.dmtk.io)
- [Python SciKit](http://scikit-learn.org/)

## Books
- Introduction to Biometrics
- Handbook of Biometrics
- [MIT Press Book: Deep Learning](http://www.deeplearningbook.org)

## Papers
- [**CVPapers**](http://www.cvpapers.com)
- [**Keith Price**](http://iris.usc.edu/vision-notes/bibliography/contents.html)
- [Capes Conference Qualis](http://qualis.ic.ufmt.br/)
- [Face Recognition](http://www.face-rec.org)
- [IEEE Xplore](http://ieeexplore.ieee.org)
- [ScienceDirect](http://www.sciencedirect.com)
- [Web of Knowledge](http://www.webofknowledge.com)
- [myScience](http://www.myscience.cc)
- [Springer](http://www.springer.com)
- [Scopus](http://www.scopus.com)
- [CiteSeerX](http://citeseerx.ist.psu.edu)
- [The IEEE Computer Society](http://www.computer.org)
- [US National Science Foundation (NSF)](http://www.nsf.gov)
- [SPIE – the international society for optics and photonics](http://spie.org)
- [IEEE Computer Society Conference Calendar](http://www.computer.org/portal/web/conferences/calendar)
- [arXiv](http://arxiv.org/)
- [Sci-HUB](http://sci-hub.io)

## Conferences
- [**Conference Calendar for Computer Vision, Image Analysis and Related Topics**](http://iris.usc.edu/information/Iris-Conferences.html)
- [**CVPR**](http://cvpr2021thecvf.com)
- [BTAS](https://www.isi.edu/events/btas2018/home)

## Academics
- [iVision, UFBA, Brazil](http://www.ivisionlab.eng.ufba.br)
- [IMAGO Research Group, UFPR, Brazil](http://www.imago.ufpr.br)
- [Computer Vision and Pattern Recognition Group, WWU, Germany](http://cvpr.uni-muenster.de)
- [Computer Vision Laboratory, ETHZ, Switzerland](http://www.vision.ee.ethz.ch)
- [Computer Vision Laboratory, EPFL, Switzerland](http://cvlab.epfl.ch/research/index.php)
- [Computer Graphics, Berkley, USA](http://graphics.berkeley.edu/)
- [Graphics, Vision and Interaction, Harvard, USA](http://gvi.seas.harvard.edu)
- [Prof. Michael J. Black, Brown, Stanford and Max Plank, USA and Germany](http://cs.brown.edu/~black/)
- [Robotics Institute, Carnegie Mellon, USA](http://www.ri.cmu.edu)
- [Multimedia Technology and Telecommunications Lab, UniPD, Italy](http://freia.dei.unipd.it)
- [Iris, USC, USA](http://iris.usc.edu)
- [Max Plank Institute for Intelligent Systems, Germany](http://www.is.mpg.de/en)
- [Idiap Research Institute, Switzerland](http://www.idiap.ch/)
- [European Organization for Nuclear Research, France and Switzerland](http://home.web.cern.ch)
- [Disney Research, USA and Switzerland](http://www.disneyresearch.com)
- [Mitsubishi Electric Research Laboratories, USA](http://www.merl.com)
- [Robotics Institute CMU, Fernando De la Torre, USA](http://www.cs.cmu.edu/~ftorre/)
- [Computer Vision for Human-Computer Interaction Lab, KIT, Germany](https://cvhci.anthropomatik.kit.edu)
- [Robotics, Swiss National Centre of Competence Research](http://www.nccr-robotics.ch)
- [Affective Sciences, University of Geneva, Switzerland](http://www.affective-sciences.ch/)
- [Human Sensing Laboratory - Carnegie Mellon University](http://www.humansensing.cs.cmu.edu/)

## Datasets
- [Database List](http://homepages.inf.ed.ac.uk/rbf/CVonline/Imagedbase.htm)
- [Face: MegaFace](http://megaface.cs.washington.edu)
- [Face: University of Milano Bicocca 3D Face Database (UMB-DB)](http://www.ivl.disco.unimib.it/umbdb/request.html)
- [Face: Facial Expressions in the Wild](http://cs.anu.edu.au/few/emotiw.html)
- [Face: Basel Face Model](http://faces.cs.unibas.ch/bfm/)
- [Face: FERET](http://itl.nist.gov/iad/humanid/feret/feret_master.html)
- [Face: MUCT](http://www.milbo.org/muct/)
- [Face: NIST GBU](http://www.nist.gov/itl/iad/ig/focs.cfm)
- [Face: SLAM KITTI](http://www.cvlibs.net/datasets/kitti/)
- [Objects: ImageNet](http://www.image-net.org)
- [Objects: MS Coco](http://mscoco.org/)
- [Objects: Open Images](https://github.com/openimages/dataset)
- [Video: Youtube 8M](https://research.google.com/youtube8m/)
- [Flow: MPI SIntel](http://sintel.is.tue.mpg.de/)
- [Flow: Middlebury, Optical Flow](http://vision.middlebury.edu/flow/data/)
- [Motion: Kinect Gaming Gestures](http://dipersec.king.ac.uk/G3D/G3D.html)
- [DAVIS Semantic Video Segmentation](http://davischallenge.org/)

## Cameras
- [LeopardImaging](https://www.leopardimaging.com)
- [Hexagon Leica, 3D Scanners](https://www.hexagonmi.com)
- [Vicon, High Speed Cameras](https://www.vicon.com)
- [IDTVision, High Speed Cameras](https://www.idtvision.com)
- [Hasselblad, Professional Cameras](https://www.hasselblad.com)
- [Ful-3D, low cost 3D Scanner](https://fuel-3d.com)
- [B&H, Camera Shopping](https://www.bhphotovideo.com)

## Hacking
- [CHDK - Canon Hacking Community](http://chdk.wikia.com/wiki/CHDK)

## Embedded
- [**RaspberryPi** - Low Cost SoC](http://www.raspberrypi.org)
- [**NVidia Jetson** - GPU SoC](https://developer.nvidia.com/buy-jetson)
- [Parallella - High performance SoC](http://www.parallella.org)
- [Toradex - System on Board modules](https://www.toradex.com)
- [Texas Instruments - Micro controllers](http://www.ti.com)
- [DirectIndustry - Electronics Shopping](http://www.directindustry.com)
- [Digikey - MicroElectronics Shopping](http://www.digikey.com/)
- [Sparkfun - Electronics Shopping](https://www.sparkfun.com)

## 3D Printers
- [3D Print](http://3dprint.com)
- [BigRep](http://bigrep.com/)
- [FormLabs](http://formlabs.com)
- [LulzBot](https://www.lulzbot.com)
- [BotObjects](http://botobjects.com/)
- [MakerBot](http://www.makerbot.com)
- [NinjaFlex](http://www.ninjaflex3d.com)
- [3DXTech, 3D filaments](http://www.3dxtech.com)
- [TypeAMachine](http://www.typeamachines.com)
- [Dremel](https://3dprinter.dremel.com)
- [Ultimaker](https://ultimaker.com)
- [MakerJuice](http://www.makerjuice.com)
- [Autodesk Ember](https://ember.autodesk.com/)
- [MarkForged](https://markforged.com)

## Robots
- [Parrot](http://www.parrot.com/)
- [DJI](http://www.dji.com)
- [DJI Developer](https://developer.dji.com/)
- [3DR](http://3drobotics.com)
- [Percepto](http://www.percepto.co)
- [Ardupilot](http://ardupilot.com)
- [Dronecode](https://www.dronecode.org)
- [Pixhawk](http://pixhawk.org)
- [OpenPilot](http://www.openpilot.org)
- [DIYDrone](http://diydrones.com)
- [DIYGit](http://diydrones.com)
- [Rethink Robots](http://www.rethinkrobotics.com)
- [Kinova](http://www.kinovarobotics.com)
- [iRobot](http://www.irobot.com)
- [Synapticon](http://www.synapticon.de)
- [HobbyKing](http://www.hobbyking.com)

## Awesomes elsewhere
- [Computer Vision](https://github.com/jbhuang0604/awesome-computer-vision)
- C++
- Python
- AI
- [Hackr](http://hackr.io)