… Abstract: To address the challenge of 6DoF pose estimation from a single RGB image in the
… and texture-less objects, this paper proposes a real-time 6DoF pose estimation approach …

… Multimodal templates for real-time detection of texture-less objects in heavily cluttered …
Model based training, detection and pose estimation of texture-less 3D objects in heavily cluttered …

… techniques in this area. Therefore, this paper investigates the approach based on the latest
6D pose estimation techniques. … pose estimation methods for 6D pose estimation techniques. …

… Pvn3d:a deep point-wise 3d keypoints voting network for 6dof pose estimation[C] / / …
Model based training,detection and pose estimation of texture-less 3D objects in heavily …

… Multimodal templates for real-time detection of texture-less objects in heavily cluttered
scenes[C… Model based training, Detection and pose estimation of textureless 3D objects in heavily …

… These results demonstrate that the designed and implemented system in this paper can
be used to sufficiently create high-quality dataset used for developing real pose estimation …

… perspective-n-point (EPnP) algorithm is used to predict the object pose, which can improve
the … Model based training, detection and pose estimation of texture-less 3d objects in heavily …

… Abstract:For the 3D pose estimation of the target, combined with the target detection model
based on deep learning, 6D target pose estimation algorithm based on improved YOLO V2 is …

… Model-based definition design in the product lifecycle management scenario[J]. The …
Multimodal templates for real-time detection of texture-less objects in heavily cluttered scenes[C] //…

… grasping tasks, this paper suggests a novel method to realize the hand-eye coordination of
… In this method, an improved region-based pose tracking algorithm is used to track the poses …