אירועים והרצאות בפקולטה למדעי המחשב ע"ש הנרי ומרילין טאוב

Today's scanning technologies, allow fast 3D scanning of urban scenes. Such rapid acquisition incurs imperfections: large regions remain missing, significant variation in sampling density is common, and the data is often corrupted with noise and outliers.

Buildings often exhibit large scale repetitions and self-similarities. To consolidate the imperfect data, our key observation is that the same geometry, when scanned multiple times over reoccurrences of instances, allow application of a simple and effective non-local filters.

We also introduce tools for quickly assemble, retarget and abstract of architectural model. Through manipulation of simple building blocks, we are able to reconstruct a complex scene and synthesize it into new appearances.