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INV-Flow2PoseNet: Light-Resistant Rigid Object Pose from Optical Flow of
  RGB-D Images using Images, Normals and Vertices

INV-Flow2PoseNet: Light-Resistant Rigid Object Pose from Optical Flow of RGB-D Images using Images, Normals and Vertices

14 September 2022
Torben Fetzer
Gerd Reis
D. Stricker
    3DH
ArXivPDFHTML

Papers citing "INV-Flow2PoseNet: Light-Resistant Rigid Object Pose from Optical Flow of RGB-D Images using Images, Normals and Vertices"

2 / 2 papers shown
Title
ROFT: Real-Time Optical Flow-Aided 6D Object Pose and Velocity Tracking
ROFT: Real-Time Optical Flow-Aided 6D Object Pose and Velocity Tracking
Nicola A. Piga
Yuriy Onyshchuk
Giulia Pasquale
Ugo Pattacini
Lorenzo Natale
3DPC
40
18
0
06 Nov 2021
When Deep Learning Meets Data Alignment: A Review on Deep Registration
  Networks (DRNs)
When Deep Learning Meets Data Alignment: A Review on Deep Registration Networks (DRNs)
Victor Villena-Martinez
Sergiu Oprea
Marcelo Saval-Calvo
J. Azorín-López
Andrés Fuster-Guilló
Robert B. Fisher
42
32
0
06 Mar 2020
1