A State Of the Art Report on Research in Multiple RGB-D sensor Setups
Kai Berger

TL;DR
This paper reviews recent research involving multiple RGB-D sensors in a single scene, highlighting advancements and applications in computer vision over the past three years.
Contribution
It provides a comprehensive overview of state-of-the-art research utilizing multi-RGB-D sensor setups, emphasizing developments prior to Kinect One’s release.
Findings
Significant progress in multi-RGB-D sensor integration
Enhanced accuracy in 3D scene reconstruction
New applications in robotics and augmented reality
Abstract
That the Microsoft Kinect, an RGB-D sensor, transformed the gaming and end consumer sector has been anticipated by the developers. That it also impacted in rigorous computer vision research has probably been a surprise to the whole community. Shortly before the commercial deployment of its successor, Kinect One, the research literature fills with resumees and state-of-the art papers to summarize the development over the past 3 years. This particular report describes significant research projects which have built on sensoring setups that include two or more RGB-D sensors in one scene.
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Taxonomy
TopicsVideo Surveillance and Tracking Methods · Robotics and Sensor-Based Localization · CCD and CMOS Imaging Sensors
