Wen-Hao Li

Accurate 6D pose estimation using consumer-grade depth cameras in real-world scenarios

A two-stage method for accurate 6D pose estimation using consumer-grade depth cameras in real-world scenarios with YOLO-based detection, Euclidean clustering, and moving least squares smoothing combined to extract high-quality target point clouds from noisy RGB-D observations is proposed.