Megapose: 6d pose estimation of novel objects via render & compare
We introduce MegaPose, a method to estimate the 6D pose of novel objects, that is, objects
unseen during training. At inference time, the method only assumes knowledge of (i) a …
unseen during training. At inference time, the method only assumes knowledge of (i) a …
Osop: A multi-stage one shot object pose estimation framework
We present a novel one-shot method for object detection and 6 DoF pose estimation, that
does not require training on target objects. At test time, it takes as input a target image and a …
does not require training on target objects. At test time, it takes as input a target image and a …
Gigapose: Fast and robust novel object pose estimation via one correspondence
We present GigaPose a fast robust and accurate method for CAD-based novel object pose
estimation in RGB images. GigaPose first leverages discriminative" templates" rendered …
estimation in RGB images. GigaPose first leverages discriminative" templates" rendered …
Genflow: Generalizable recurrent flow for 6d pose refinement of novel objects
Despite the progress of learning-based methods for 6D object pose estimation the trade-off
between accuracy and scalability for novel objects still exists. Specifically previous methods …
between accuracy and scalability for novel objects still exists. Specifically previous methods …
Gigapose: Fast and robust novel object pose estimation via one correspondence
We present GigaPose, afast, robust, and accurate method for CAD-based novel object pose
estimation in RGB images. GigaPose first leverages discriminative “templates”, ren-dered …
estimation in RGB images. GigaPose first leverages discriminative “templates”, ren-dered …
Welsa: Learning to predict 6d pose from weakly labeled data using shape alignment
Object pose estimation is a crucial task in computer vision and augmented reality. One of its
key challenges is the difficulty of annotation of real training data and the lack of textured …
key challenges is the difficulty of annotation of real training data and the lack of textured …
Colibri5: Real-Time Monocular 5-DoF Trocar Pose Tracking for Robot-Assisted Vitreoretinal Surgery
Retinal surgery is a complex medical procedure that requires high precision dexterity to
perform delicate instrument maneuvers with sub-millimeter accuracy. Minimizing the manual …
perform delicate instrument maneuvers with sub-millimeter accuracy. Minimizing the manual …
Object Pose Estimation From RGB-D Images With Affordance-Instance Segmentation Constraint for Semantic Robot Manipulation
Z Wang, G Tian - IEEE Robotics and Automation Letters, 2023 - ieeexplore.ieee.org
Object pose estimation is a crucial task for semantic robot manipulation involving the
detection of suitable manipulation regions. Given the diversity of object shapes and scene …
detection of suitable manipulation regions. Given the diversity of object shapes and scene …
A multiple extended target generalized labeled multi-Bernoulli filter based on joint likelihood function
Y LIU, H JI, Y ZHANG - 电子与信息学报, 2023 - jeit.ac.cn
High-resolution radar systems monitor multiple extended targets with different shapes in a
surveillance area. Reliable shapes estimation can effectively improve tracking performance …
surveillance area. Reliable shapes estimation can effectively improve tracking performance …
Gaussian processes based extended target tracking in polar coordinates with input uncertainty
Y Guo, D Yang, L Ren, L Yan - EURASIP Journal on Advances in Signal …, 2022 - Springer
Gaussian processes (GP) based extended target tracking (ETT) technique has attracted the
attention of scientists since it can accurately estimate the kinematic states as well as the …
attention of scientists since it can accurately estimate the kinematic states as well as the …