Depth-Based 6DoF Object Pose Estimation Using Swin Transformer
Zhujun Li,Ioannis Stamos,Zhujun Li,Ioannis Stamos
Accurately estimating the 6D pose of objects is crucial for many applications, such as robotic grasping, autonomous driving, and augmented reality. However, this task becomes more challenging in poor lighting conditions or when dealing with textureless objects. To address this issue, depth images are becoming an increasingly popular choice due to their invariance to a scene's appearance and the im...
