scholarly journals Making Deep Heatmaps Robust to Partial Occlusions for 3D Object Pose Estimation

Author(s):  
Markus Oberweger ◽  
Mahdi Rad ◽  
Vincent Lepetit
Author(s):  
Vassileios Balntas ◽  
Andreas Doumanoglou ◽  
Caner Sahin ◽  
Juil Sock ◽  
Rigas Kouskouridas ◽  
...  

2020 ◽  
Vol 2020 (8) ◽  
pp. 221-1-221-7
Author(s):  
Jianhang Chen ◽  
Daniel Mas Montserrat ◽  
Qian Lin ◽  
Edward J. Delp ◽  
Jan P. Allebach

We introduce a new image dataset for object detection and 6D pose estimation, named Extra FAT. The dataset consists of 825K photorealistic RGB images with annotations of groundtruth location and rotation for both the virtual camera and the objects. A registered pixel-level object segmentation mask is also provided for object detection and segmentation tasks. The dataset includes 110 different 3D object models. The object models were rendered in five scenes with diverse illumination, reflection, and occlusion conditions.


2011 ◽  
Vol 131 (4) ◽  
pp. 505-514
Author(s):  
Kenichi Maruyama ◽  
Yoshihiro Kawai ◽  
Fumiaki Tomita

2020 ◽  
Vol 29 ◽  
pp. 9279-9291
Author(s):  
Christos Papaioannidis ◽  
Vasileios Mygdalis ◽  
Ioannis Pitas

Author(s):  
Chia-Ming Cheng ◽  
Hsiao-Wei Chen ◽  
Tung-Ying Lee ◽  
Shang-Hong Lai ◽  
Ya-Hui Tsai

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