Search Results for "human"

...Any opinions, findings, conclusions or recommendations expressed in this material are those of the authors and should not be attributed to their employers or funding sources. Accuracies from research papers have just begun to surpass human accuracies on some benchmarks. The accuracies of open source face recognition systems lag behind the state-of-the-art. See our accuracy comparisons on the famous LFW benchmark.

StarTrinity Face Recognition Library is designed for biometric face login in web-based solutions. The library Allows you to use human face as a password to authorize at your web site Can be integrated into any ASP.NET or PHP web application Is based on Silverlight 4 runtime, detects and verifies face in real time Supports DirectShow-compatible web cameras. Offers the API to detect face, build pattern of face and match face with pattern Uses cloud server to build and store facial patterns Accuracy is up to 99% since version 1.2 (FAR 0%, TRR 99%)

iFace is a human face recognition open scource project which developed by python. It is developed based on some code of PyVision project.

iFace is a human face recognition open scource project which developed by python. It is developed based on some code of PyVision project.

The Human Body Project allows computers to better understand and interact with people. Using a webcam the system can detect and recognise individuals (face recognition), identify their gaze direction, facial expressions and upper body postures.

The development of a biometric system and applications e.g. Access Control based on the system to recognize and verify people. The primary goal is face recognition, but other human attributes might get used too in the future.