Acronym CAMERA
Funding Reference EU-FP4-TMR (Training and Mobility of Researchers) ERB FMRX CT970127, EU
Dates 1998|2001

The scientific objectives of the network are to investigate:
– methods for construction of finite and unbounded (ie. Without the natural closure of individual objects) CAD models of built environments including both interiors and exteriors.
– methods for extraction and incremental fusion of typical environmental features (eg. pipes, walls, floors).
– how to fuse sparse, but continuously tracked shape, obtained from projective geometrical analysis of intensity images with dense shape obtained from single range images.
– how to plan for incremental sensing for extending and filling out models.
– how to exploit constraints typical of built environments (eg. systematic rectangularity and parallel features) or typical architectural structures (eg. doorways) to improve model accuracy.
– how to link locally accurate models (eg. of individual rooms) to form accurate global descriptions of the environment (eg. by exploiting constraints arising from two rooms being adjacent across a wall).
– how modules implementing the research results might be integrated together in a usable system.

The training objectives of the project are:
1 – develop cross-disciplinary skills in computer vision, computer graphics, computer-aided design, sensor navigation and fusion and photogrammetry.
2 – provide post-doctoral researchers with broader project perspectives, trans-national experience and experience in a commercial organisation.
3 – provide a forum for idea exchange and accelerated progress in a new and rapidly developing research area. Within CAMERA, ISR/IST main interests are on the areas of range data acquisition, 3D reconstruction based on range and/or visual data, integration of multisensory range information, perception planning and execution, control of data acquisition, camera tracking, reverse engineering.

Research Groups Computer and Robot Vision Lab (VisLab)
Intelligent Robots and Systems Group (IRSg)
Project Partners University of Edinburgh, project leader (UK), Royal Institute of Technology (S), Joint Research Centre (I), UK Robotics (UK), LAAS-CNRS(F), Fraunhofer Institute (G)
ISR/IST Responsible
Isabel Ribeiro
José Santos-Victor