The computer vision laboratory was created in 2001. Its central interest is the development of new paradigms in computer vision, as well as the application of image processing techniques, machine learning, and computational intelligence to solve problems of computer vision and pattern recognition.
Its main lines of research are: analysis of faces in images and videos (detection, recognition, tracking); detection and tracking of humans; detection and recognition of objects and analysis of scenes; and vision in mobile robots (auto-localization, tracking, visual Simultaneous Locatization and Mapping (SLAM)).
Cameras (visible spectrum and thermal spectrum), depth sensors (Kinect and Laser), desktop computers and computers for scientific calculation.
- “Semantic Perception and Mapping for Mobile Robots in Unconstrained Environments”. FONDECYT Regular 1130153- 201. Principal Investigator: Javier Ruiz-del-Solar.
- “Boosting Learning Algorithms for Multiclass Classification and Multidimensional Regression: Applications to Object Detection and Classification”, FONDECYT Postdoctorate – 2011 – 3120218. Principal Investigator: Rodrigo Verschae.
- “Hybrid Model-based Markerless 3D Tracking for Augmented Reality and Visual Servoing”, 2010, Co-financed by the TIC-AMSUD program and CONICYT. Principal Investigator: Javier Ruiz-del-Solar.
- “Robust and Fast Vision Systems for Humanoid Robots”, FONDECYT Regular – 2009 – 1090250. Principal Investigator: Javier Ruiz-del-Solar.
Ph.D. Georgia Institute of Technology, USA.