US Patent Application 17800688. Systems and Methods for Object Detection Including Pose and Size Estimation simplified abstract

Systems and Methods for Object Detection Including Pose and Size Estimation

Organization Name

Google LLC

Inventor(s)

Tingbo Hou of Santa Clara CA (US)

Adel Ahmadyan of Mountain View CA (US)

Jianing Wei of Cupertino CA (US)

Matthias Grundmann of San Jose CA (US)

Systems and Methods for Object Detection Including Pose and Size Estimation - A simplified explanation of the abstract

This abstract first appeared for US patent application 17800688 titled 'Systems and Methods for Object Detection Including Pose and Size Estimation

Simplified Explanation

The patent application is about systems and methods for detecting objects and estimating their position and size in 3D based on 2D images.

• Object detection is done using a machine-learned model that can determine different properties of objects.
• The properties of the objects are then used to estimate their pose (position and orientation) and size.
• This technology can be used to accurately detect and measure objects in 3D using only 2D images.
• The system is designed to improve object detection and pose estimation in various applications.
• The method can be implemented using computer vision algorithms and machine learning techniques.
• The innovation has potential applications in fields such as robotics, augmented reality, and autonomous vehicles.

Original Abstract Submitted

The present disclosure is directed to systems and methods for performing object detection and pose estimation in 3D from 2D images. Object detection can be performed by a machine-learned model configured to determine various object properties. Implementations according to the disclosure can use these properties to estimate object pose and size.