In this project, we study scene segmentation of images from the Microsoft Kinect using deep learning techniques. The Kinect gives a depth map of the scene in addition to a standard RGB image, so we are extending methods for scene segmentation and object recognition developed by Socher’s group which were previously applied to two-dimensional images. Socher’s algorithm parses scenes using recursi...

Depth information has been used in many fields because of its low cost and easy availability, since the Microsoft Kinect was released. However, the Kinect and Kinect-like RGB-D sensors show limited performance in certain applications and place high demands on accuracy and robustness of depth information. In this paper, we propose a depth sensing system that contains a laser projector similar to...

The Kinect device is commonly associated to videogames, but this is not the only purpose of this device. Going into more depth, it could be a powerful tool to accomplish several goals, not only related to simple games. One such example could be Serious Games. Above all, Kinect device is a group of sensors and as such it is an attraction point in order to do experiments and measurements. This th...

This paper covers the use of depth sensors such as Microsoft Kinect and ASUS Xtion to provide a natural user interface (NUI) for controlling 3-D (three-dimensional) virtual globes such as Google Earth (including its Street View mode), Bing Maps 3D, and NASA World Wind. The paper introduces the Microsoft Kinect device, briefly describing how it works (the underlying technology by PrimeSense), as...

Recently, the new Kinect One has been issued by Microsoft, providing the next generation of real-time range sensing devices based on the Time-of-Flight (ToF) principle. As the first Kinect version was using a structured light approach, one would expect various differences in the characteristics of the range data delivered by both devices. This paper presents a detailed and in-depth comparison b...

BACKGROUND Accidental falls remain an important problem in older people. The five-times-sit-to-stand (5STS) test is commonly used as a functional test to assess fall risk. Recent advances in sensor technologies hold great promise for more objective and accurate assessments. OBJECTIVE The aims of this study were: (1) to examine the feasibility of a low-cost and portable Kinect-based 5STS test ...

Human face images acquired using conventional 2D cameras may have inherent restrictions that hinder the inference of some specific information in the face. The low-cost depth sensors such as Microsoft Kinect introduced in late 2010 allow extracting directly 3D information, together with RGB color images. This provides new opportunities for computer vision and face analysis research. Although mo...