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20192021
most citedPano3D: A Holistic Benchmark and a Solid Baseline for Depth Estimation

51 citations · 52 across the 2 of their papers we have counts for

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5 papers · 1 filter

cs.CV202151 cited

Pano3D: A Holistic Benchmark and a Solid Baseline for Depth Estimation

Georgios Albanis, Nikolaos Zioulis, Petros Drakoulis +5

Pano3D is a new benchmark for depth estimation from spherical panoramas. It aims to assess performance across all depth estimation traits, the primary direct depth estimation perfo…

cs.CV20211 cited

PanoDR: Spherical Panorama Diminished Reality for Indoor Scenes

V. Gkitsas, V. Sterzentsenko, N. Zioulis +2

The rising availability of commercial cameras that democratize indoor scanning, has increased the interest for novel applications, such as interior space re-design. Dim…

cs.CV2020

Deep Soft Procrustes for Markerless Volumetric Sensor Alignment

Vladimiros Sterzentsenko, Alexandros Doumanoglou, Spyridon Thermos +3

With the advent of consumer grade depth sensors, low-cost volumetric capture systems are easier to deploy. Their wider adoption though depends on their usability and by extension o…

cs.CV2019

Self-Supervised Deep Depth Denoising

Vladimiros Sterzentsenko, Leonidas Saroglou, Anargyros Chatzitofis +5

Depth perception is considered an invaluable source of information for various vision tasks. However, depth maps acquired using consumer-level sensors still suffer from non-negligi…

cs.CV2019

A Low-Cost, Flexible and Portable Volumetric Capturing System

Vladimiros Sterzentsenko, Antonis Karakottas, Alexandros Papachristou +4

Multi-view capture systems are complex systems to engineer. They require technical knowledge to install and intricate processes to setup related mainly to the sensors' spatial alig…