This field research refers to the identification of humans by their characteristics or traits. The CV Lab has developed several methods for recognition of individuals using face scans, including one that has received an international patent. Furthermore, the Vision Computer Laboratory has developed multimodal biometric methods using different biometrics sources, as fingerprints, iris and face images.
The CV Lab deals with the analysis and computer generation of 2D and 3D models regarding geometric and/or natural objects.
Image analysis is the extraction of meaningful information from images. Computer Vision Lab deals with the reconstruction of graphic information from images by means of digital camera. Moreover, the Laboratory studies innovative methods to improve quality of images and to incorporate special effects into pictorial images and video.
Research in this field concerns methods for acquiring, analyzing, and understanding images in order to extract, through the use of one or more cameras, measures and characteristics of the objects. In Computer Vision field, the CV Lab deals with the following application contexts:
- Surveillance of areas with controlled access.
- Personal identity verification for access to electronic services.
- Using and customizing architectural CAD packages.
- Measurement of complex surfaces areas and volumes and graphic reconstruction.
- Quality control (shape, color and size) of pieces in a production line.
- Automatic indexing of large archives through research based on grapichs, video and pictorial elements.