Computer Vision
Our research on Computer Vision is mainly focused on advanced techniques that hybridize Computer Vision with Soft Computing and also on practical applications. This research line is also closed to two complementary subjects (Digital Image Processing and Artificial Vision, respectively) lectured by people in GAVAB group at URJC.
Aim
The field of Computer Vision is multidisciplinar and is also appliaction-oriented. Its goal is to make useful decisions about objects and scenes of the real world based on sensed images (mainly obtained using cameras). Computer Vision can also be descibed as a complement of the biological vision. As a technological discipline, it aims to construct vision systems for many specific domain areas like medicine, manufacturing processes in industry, surveillance or autonomous vehicles. Typical functions in Computer Vision are image adquisition, preprocessing (including noise reduction or contrast enhancement), segmentation, feature extraction and recognition.
Members
- Ángel Sánchez Calle
- Ana Belén Moreno Díaz
- José Francisco Vélez Serrano
- Gabriela Pérez
- Antonio Sanz Montemayor
- Juan José Pantrigo Fernández
Topics
- Image segmentation techniques
- Fuzzy image processing
- Object tracking techniques
- 3D vision
- Document analysis
- Medical image processing
Contact
Ángel Sánchez Calle
angel.sanchez@urjc.es