Developing intelligent vision system to detect, classify, or retrive natural 3D objects under varying imaging conditions and operating environments is one of the most challenging artificial intelligence and computer vision problems having consideratble practical interest.
In particular, computer stereo vision can serve as an important tool in photogrammetry, cartography, civil enginerring, mining, forensics, archaeology, biometrics, autonomous navigation, augmented reality, game industry, special movie effects, etc. Many applications is trong demand (e.g. security checks by face recognition, or terrain changes detection_ require fast and accurate respondes. We are developing efficient solutions for various application problems that need real-time or near real-time modelling of close-range 3D environment.
Our current applications:
- Rapid prototyping of indoor and outdoor 3D scene and objects
- 3D modelling and animation of faces
- Web-based 3D computer vision
- 2D and 3D face recognition
- Real-time visualisation of 3D scenes
Technology showcased:
- Robust stereo-matching under adverse lighting and contrast conditions.
- GPU programming with CUDA
- Multi-sensor data fusion techniques for scene and environment modelling
- Visualisation on 3D display
- 3D face modelling from depth maps acquired by stereo
- Integrated acquisition-to-visualisation system using stereo acquisition setup, powerfull PC and 3D display output.