Pose-RCNN: Joint object detection and pose estimation using 3D object proposals

2016 ◽  
Author(s):  
Markus Braun ◽  
Qing Rao ◽  
Yikang Wang ◽  
Fabian Flohr
Keyword(s):  
Object Detection ◽  
Pose Estimation ◽  
3D Object ◽  
Object Proposals

Extra FAT: A Photorealistic Dataset for 6D Object Pose Estimation

2020 ◽  
Vol 2020 (8) ◽  
pp. 221-1-221-7
Author(s):  
Jianhang Chen ◽  
Daniel Mas Montserrat ◽  
Qian Lin ◽  
Edward J. Delp ◽  
Jan P. Allebach
Keyword(s):  
Object Detection ◽  
Pose Estimation ◽  
Object Segmentation ◽  
3D Object ◽  
Virtual Camera ◽  
Image Dataset ◽  
Rgb Images ◽  
Object Pose Estimation ◽  
Object Models

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.

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