This lossy compression scheme is able to achieve a compression ratio as high as 6:1 with an average error rate of less than 1 degree, depending on which ...

Abstract: Monocular 6D pose estimation for objects is an essential but challenging task that is commonly applied in computer vision and robotics. Existing two-stage methods solve for rotations with ...

This work has been accepted to IEEE Robotics and Automation Letters (RA-L 2025). illustrates a real-world scenario where the double-sided mapping issue arises, presenting examples of both erroneous ...

Abstract: Many applications that use point clouds, such as 3D immersive telepresence, suffer from geometric quality degradation. This noise may be caused by measurement errors of the capturing device ...