KeypointNet: A Large-scale 3D Keypoint Dataset Aggregated from Numerous Human Annotations

Understand

Detecting 3D objects keypoints is of great interest to the areas of both graphics and computer vision.

• There have been several 2D and 3D keypoint datasets aiming to address this problem in a data-driven way.
• These datasets, however, either lack scalability or bring ambiguity to the definition of keypoints.
• Therefore, we present KeypointNet: the first large-scale and diverse 3D keypoint dataset that contains 103,450 keypoints and 8,234 3D models from 16 object categories, by leveraging numerous human annotations.