We present Real-time Gaussian SLAM (RTG-SLAM), a real-time 3D reconstruction system with an RGBD camera for large-scale environments using Gaussian splatting. The system features a compact Gaussian representation and a highly efficient on-the-fly ...

Acquiring depth data has become easily achievable with advancements in depth sensing and depth estimation technologies. As a result, obtaining a depth stream to describe the topology of a corresponding video stream has been considerably simplified. ...

Immersive technologies such as virtual reality have enabled novel forms of education and training, where students can learn new skills in simulated environments. But some specialized training procedures, e.g. ESA-certified soldering, still involve real-...

Elderly people in care homes face a great lack of contact with their families and loved ones. Social isolation and loneliness are detrimental factors for older people in their health condition, cognitive impairment and quality of life. We previously ...

Salient object detection (SOD) is a crucial and preliminary task for many computer vision applications, which have made progress with deep CNNs. Most of the existing methods mainly rely on the RGB information to distinguish the salient objects, which ...

Convolutional neural networks have gradually dominated the field of image semantic segmentation, and have achieved good results in 2D image semantic segmentation tasks. However, the 2D semantic segmentation algorithm based on CNN is still unsatisfactory ...

In this paper, a new activity recognition technique is introduced based on the gray level co-occurrence matrices (GLCM) from a 3D dense optical flow of the input RGB and Depth videos. These matrices are one of the earliest techniques used for image ...

Intrinsic image decomposition is a longstanding problem in computer vision. In this paper, we present a novel approach for efficiently decomposing an RGBD image into its reflectance and shading components. A robust super-pixel segmentation method is ...

In this paper we describe the strategy adopted to design, from scratch, an embedded RGBD sensor for accurate and dense depth perception on a low-cost FPGA. This device infers, at more than 30 Hz, dense depth maps according to a state-of-the-art stereo ...

Annotating RGBD images with high quality semantic annotations plays a crucial key to the advanced scene understanding and image manipulation. While the popularity of affordable RGBD sensors has eased the process to acquire RGBD images, annotating them, ...

A computer vision system that employs an RGBD camera network to track multiple humans is presented. The acquired views are used to volumetrically and photometrically reconstruct and track the humans robustly and in real time. Given the frequent and ...