OpenCV (Open Source Computer Vision Library) is an open source computer vision and machine learning software library. OpenCV was built to provide a common infrastructure for computer vision applications and accelerate machine perception in products.
With the rapid development in computer vision, OpenCV needs Area Chairs for various topics in computer vision. We expect an Area Chair to help OpenCV implement state-of-the-art algorithms on a specific topic.
- An ideal candidate should have at least three years of experience in a specific topic.
- A candidate who manages a team of researchers or developers is very desirable. For example, a university professor in charge of a computer vision lab with grad students would be a great fit. We also invite strong individual contributors.
- They or a team under their supervision should be able and willing to work on OpenCV for one or more years.
There is no monetary compensation for this position. The OpenCV Foundation will acknowledge the contributions of all current and former Areas Chairs by listing them on the OpenCV.org website.
Area Chairs may work in areas including (but not limited to) the following:
- Face recognition
- Face emotion recognition
- Text detection and OCR
- Human pose estimation
- Human detection
- Image segmentation
- Object detection and recognition in 3D point cloud for autonomous driving
- Traffic sign detection and recognition in images
- Car plate detection and recognition
- Visual SLAM
- Computational photography
- Embedded/MicroControllers (TinyML?)
- Robotics manipulation
- Data augmentations
- Data loaders (load deep models from onnx, tf, etc)
- Topics in AR/VR
- Topics in agriculture technology
- Topics in medical image understanding
- Smart cameras
If you are interested in being an Area Chair for OpenCV, please request a signup form.
The submission deadline is 31st January 2022.
The new applications will be discussed at OpenCV foundation meeting per two weeks.