公开(公告)号：US20230130478A1

公开(公告)日：2023-04-27

申请号：US17798232

申请日：2020-06-22

Applicant: Nvidia Corporation

Inventor： Dong Zhang ,  Eric Viscito ,  Frans Sijstermans ,  Jagadeesh Sankaran ,  Ching Hung ,  Yen-Te Shih ,  Ravi Singh

IPC: G06T7/593

Abstract: A hybrid matching approach can be used for computer vision that balances accuracy with speed and resource consumption. Stereoscopic image data can be rectified and downsampled, then analyzed using a semi-global matching (SGM) process. The use of downsampled images greatly reduces time and bandwidth requirements, while providing high accuracy disparity results. These disparity results can be provided as external hints to a fast module that can perform a robust matching process in the time needed for applications such as real time navigation. The external hints can be used, along with potentially other hints, to define a search space for use by the fast module, which can result in higher quality disparity results obtained within specified timing constraints and with limited resources. The disparity results can be used to determine distances to various objects, as may be important for vehicle navigation or robotic task performance.