IEEE

Matching Distance and Geometric Distribution Aided Learning Multiview Point Cloud Registration

Abstract: Multiview point cloud registration plays a crucial role in robotics, automation, and computer vision fields. This letter concentrates on pose graph construction and motion synchronization ...
IEEE

Masked Local-Global Representation Learning for 3D Point Cloud Domain Adaptation

Abstract: Point cloud is a popular and widely used geometric representation, which has attracted significant attention in 3D vision. However, the geometric variability of point cloud representations ...
IEEE

Comment Generator for Java using Deep Learning

Abstract: Working on a project is simple until we are the only ones involved and know all of the modules and processes. However, the issue occurs when a fresh developer works on your project after a ...
IEEE

Deep Learning-Based Point Cloud Registration for Augmented Reality-Guided Surgery

Abstract: Point cloud registration aligns 3D point clouds using spatial transformations. It is an important task in computer vision, with applications in areas such as augmented reality (AR) and ...
IEEE

Learning Robust Point-to-Point Motions Adversarially: A Stochastic Differential Equation Approach

Abstract: This letter proposes a robust stochastic differential equation approach for learning point-to-point motions in an adversarial way. The proposed stochastic dynamical model combines the ...
IEEE

Point-MPP: Point Cloud Self-Supervised Learning From Masked Position Prediction

Abstract: Masked autoencoding has gained momentum for improving fine-tuning performance in many downstream tasks. However, it tends to focus on low-level reconstruction details, lacking high-level ...