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Valerio Cambareri

3 accepted papers

2025

ToF-Splatting: Dense SLAM using Sparse Time-of-Flight Depth and Multi-Frame Integration

ICCV 2025poster

Time-of-Flight (ToF) sensors provide efficient active depth sensing at relatively low power budgets; among such designs, only very sparse measurements from low-resolution sensors are considered to meet the increasingly limited power constraints of mobile and AR/VR devices. However, such extreme spar…

Cited by 0SourcePDFScholar
2024

Depth on Demand: Streaming Dense Depth from a Low Frame Rate Active Sensor

ECCV 2024poster

"High frame rate and accurate depth estimation plays an important role in several tasks crucial to robotics and automotive perception. To date, this can be achieved through ToF and LiDAR devices for indoor and outdoor applications, respectively. However, their applicability is limited by low frame r…

Cited by 3SourcePDFScholar
2015

Average recovery performances of non-perfectly informed compressed sensing: With applications to multiclass encryption

ICASSP 2015accepted

The sensitivity of recovery algorithms with respect to a perfect knowledge of the encoding matrix is a general issue in many application scenarios in which compressed sensing is an option to acquire or encode natural signals. Quantifying this sensitivity in order to predict the result of signal reco…

Cited by 0SourceScholar