3 research outputs found
CLASSIFICAÇÃO DE NUVEM DE PONTOS LASER UTILIZANDO O CONCEITO DE ANÁLISE DE COMPONENTES PRINCIPAIS E O FATOR DE NÃO AMBIGUIDADE
Facade Reconstruction with Generalized 2.5d Grids
Reconstructing fine facade geometry from MMS lidar data remains a challenge: In addition to being inherently sparse, the point cloud
provided by a single street point of view is necessarily incomplete. We propose a simple framework to estimate the facade surface
with a deformable 2.5d grid. Computations are performed in a "sensor-oriented" coordinate system that maximizes consistency with
the data. the algorithm allows to retrieve the facade geometry without priori knowledge. It can thus be automatically applied to a large
amount of data in spite of the variability of encountered architectural forms. The 2.5d image structure of the output makes it compatible
with storage and real-time constraints of immersive navigation