Rhonda Software

Highest quality full cycle software development.

Expert in areas of Computer Vision, Multimedia, Messaging, Networking and others. Focused on embedded software development. Competent in building cross-platform solutions and distributed SW systems.

Offer standalone custom solutions as well as integration of existing products. Opened for outsourcing services.

Visit us at: http://www.rhondasoftware.com

Face recognition

Posted on : 01-06-2022 | By : rhondasw | In : Demo, Demo video, Demo videos, Face recognition, YouTube

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The face recognition demo shows person facial feature training via a single photo and subsequent face matching on the live video stream, using VisionLabs’ library integrated onto the H22 System on a Module (SoM).

Face Recognition

Posted on : 10-09-2010 | By : Sergey Koulik | In : Face recognition

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2D face recognition is an extensively studied, but still evolving subject of research. Various strategies including statistical approaches, hidden Markov models, neural networks, template based and feature based matching have been proposed. Here we briefly present our implementation which is based on past research and achieves state-of-the-art recognition performance on considerably low resolution input facial images.
Our approach can be divided into three independent phases: Facial landmarks library construction (offline), Building of facial descriptor (once per novel image) and Facial descriptors matching.

Face recognition result on live video sequence