On Object Symmetries and 6D Pose Estimation from Images

On Object Symmetries and 6D Pose Estimation from Images

20 August 2019

Giorgia Pitteri

Michael Ramamonjisoa

Vincent Lepetit

Papers citing "On Object Symmetries and 6D Pose Estimation from Images"

18 / 18 papers shown

Title
Increasing the Task Flexibility of Heavy-Duty Manipulators Using Visual 6D Pose Estimation of Objects Petri Mäkinen Pauli Mustalahti Tuomo Kivelä Jouni Mattila 95 0 0 26 Feb 2025
On Representation of 3D Rotation in the Context of Deep Learning Viktória Pravdová Lukás Gajdosech Hassan Ali Viktor Kocur 3DPC 3DH 33 0 0 14 Oct 2024
Alignist: CAD-Informed Orientation Distribution Estimation by Fusing Shape and Correspondences Shishir Reddy Vutukur R. Haugaard Junwen Huang Benjamin Busam Tolga Birdal 50 0 0 10 Sep 2024
Resolving Symmetry Ambiguity in Correspondence-based Methods for Instance-level Object Pose Estimation Yongliang Lin Yongzhi Su Sandeep Inuganti Yan Di Naeem Ajilforoushan Hanqing Yang Yu Zhang J. Rambach 3DH 58 1 0 17 May 2024
Category-Level 6D Object Pose Estimation with Flexible Vector-Based Rotation Representation Wei Chen Xi Jia Zhongqun Zhang H. Chang Lin Shen Jinming Duan A. Leonardis 37 1 0 09 Dec 2022
Learning Implicit Probability Distribution Functions for Symmetric Orientation Estimation from RGB Images Without Pose Labels Arul Selvam Periyasamy Luis Denninger Sven Behnke 31 1 0 21 Nov 2022
CenDerNet: Center and Curvature Representations for Render-and-Compare 6D Pose Estimation Peter De Roovere Rembert Daems Jonathan Croenen T. Bourgana Joris de Hoog Francis Wyffels 3DPC 36 2 0 21 Aug 2022
DPODv2: Dense Correspondence-Based 6 DoF Pose Estimation I. Shugurov Sergey Zakharov Slobodan Ilic 25 56 0 06 Jul 2022
ES6D: A Computation Efficient and Symmetry-Aware 6D Pose Regression Framework Ningkai Mo Wanshui Gan Naoto Yokoya Shifeng Chen 42 27 0 03 Apr 2022
Implicit-PDF: Non-Parametric Representation of Probability Distributions on the Rotation Manifold Kieran A. Murphy Carlos Esteves Varun Jampani Srikumar Ramalingam A. Makadia 30 76 0 10 Jun 2021
Deep Regression on Manifolds: A 3D Rotation Case Study Romain Brégier 3DH 32 51 0 30 Mar 2021
FS-Net: Fast Shape-based Network for Category-Level 6D Object Pose Estimation with Decoupled Rotation Mechanism Wei Chen Xi Jia H. Chang Jinming Duan Linlin Shen A. Leonardis 3DPC 38 162 0 12 Mar 2021
DualPoseNet: Category-level 6D Object Pose and Size Estimation Using Dual Pose Network with Refined Learning of Pose Consistency Jiehong Lin Zewei Wei Zhihao Li Songcen Xu Kui Jia Yuanqing Li 3DPC 40 130 0 11 Mar 2021
Deep Bingham Networks: Dealing with Uncertainty and Ambiguity in Pose Estimation Haowen Deng Mai Bui Nassir Navab Leonidas Guibas Slobodan Ilic Tolga Birdal 3DH 45 58 0 20 Dec 2020
Classification of Single-View Object Point Clouds Zelin Xu Ke Chen Kangjun Liu Changxing Ding Yaowei Wang Kui Jia 3DPC 25 8 0 18 Dec 2020
Handling Object Symmetries in CNN-based Pose Estimation Jesse Richter-Klug Udo Frese 50 11 0 26 Nov 2020
Shape Prior Deformation for Categorical 6D Object Pose and Size Estimation Meng Tian M. Ang Gim Hee Lee 3DPC 42 201 0 16 Jul 2020
EPOS: Estimating 6D Pose of Objects with Symmetries Tomás Hodan Dániel Baráth Jirí Matas 43 230 0 01 Apr 2020