4 papers · 2 filters
Sparsity Agnostic Depth Completion
Andrea Conti, Matteo Poggi, Stefano Mattoccia
We present a novel depth completion approach agnostic to the sparsity of depth points, that is very likely to vary in many practical applications. State-of-the-art approaches yield…
Multi-View Guided Multi-View Stereo
Matteo Poggi, Andrea Conti, Stefano Mattoccia
This paper introduces a novel deep framework for dense 3D reconstruction from multiple image frames, leveraging a sparse set of depth measurements gathered jointly with image acqui…
Unsupervised confidence for LiDAR depth maps and applications
Andrea Conti, Matteo Poggi, Filippo Aleotti +1
Depth perception is pivotal in many fields, such as robotics and autonomous driving, to name a few. Consequently, depth sensors such as LiDARs rapidly spread in many applications.…
Monitoring social distancing with single image depth estimation
Alessio Mingozzi, Andrea Conti, Filippo Aleotti +2
The recent pandemic emergency raised many challenges regarding the countermeasures aimed at containing the virus spread, and constraining the minimum distance between people result…