Estimating the 6D pose of known objects is important for robots to interact with the real
world. The problem is challenging due to the variety of objects as well as the complexity of a …

We present a new simultaneous localization and mapping (SLAM) system capable of
producing high-quality globally consistent surface reconstructions over hundreds of meters …

This paper describes extensions to the Kintinuous [1] algorithm for spatially extended
KinectFusion, incorporating the following additions:(i) the integration of multiple 6DOF …

In this paper we present PasS (privacy as a service); a set of security protocols for ensuring
the privacy and legal compliance of customer data in cloud computing architectures. PasS …

Nowadays, video cameras are increasingly used for surveillance, monitoring, and activity
recording. These cameras generate high resolution image and video data at large scale …

Hough Transform (HT) algorithm is commonly used for linear detection but requires huge
memory and computational complexity. In this paper, we design an adapted hardware …

The state-of-art 6D object pose detection methods use convolutional neural networks to
estimate objects' 6D poses from RGB images. However, they require huge numbers of …

Estimating the 6D object pose is a very challenging task in computer vision. The main
difficulty is mapping the object from RGB images to 3D space. In this paper, we present a …

This paper describes extensions to the Kintinuous algorithm for spatially extended
KinectFusion, incorporating the following additions:(i) the integration of multiple 6DOF …

The logging and further analysis of borehole images is a major step in the interpretation of
geological events. Natural fractures and beddings are features whose identification is …