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. In the last years, vision-based systems have flourished at an unprecedented pace, fuelled by developments in hardware components (higher resolution and higher sensitivity imaging sensors, smaller and smarter micro controllers, just to name a few), as well as in software or processing techniques, with AI (Artificial Intelligence) leading to a landmark revolution. Several disciplines have fostered and benefited from these advances, but, unfortunately, not always in a coordinated and cooperative way. When it comes to image-based sensing techniques, photogrammetry, computer vision and robotic vision have many contact points and overlapping areas. Yet, as for people of different cultures and languages, communicating among the three different communities can be very harsh and disorienting - especially for beginners and non-specialists. Driven by a strong educational and inclusive ambition, the LightCam project is funded by the ISPRS Education and Capacity Building Initiatives 2020 (ECB). The project’s ambition is to act as an interpreter and ease the dialog among the three actors, i.e. photogrammetry, computer vision and robotics. Two intermediation tools will be developed to serve this aim: (i) a dictionary of concepts, terminology and algorithms, in the form of a knowledge base website, and (ii) a code repository, where pieces of code for the conversion between different formulations implemented in available software solutions will be shared.

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

LIGHTCAM: ENLIGHTENING THE CAMERA OBSCURA – WHERE PHOTOGRAMMETRY, COMPUTER AND ROBOTIC VISION MEET