US Patent Application 18344208. POSE ESTIMATION METHOD AND RELATED APPARATUS simplified abstract

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POSE ESTIMATION METHOD AND RELATED APPARATUS

Organization Name

HUAWEI TECHNOLOGIES CO., LTD.


Inventor(s)

Chang Liu of Shenzhen (CN)

Chuangchuang Liu of Shenzhen (CN)

Baoyang Chen of Shenzhen (CN)

Yuntan Fang of Shenzhen (CN)

Siwei Dong of Shenzhen (CN)

Shu Fang of Beijing (CN)

Huimin Zhang of Shenzhen (CN)

POSE ESTIMATION METHOD AND RELATED APPARATUS - A simplified explanation of the abstract

This abstract first appeared for US patent application 18344208 titled 'POSE ESTIMATION METHOD AND RELATED APPARATUS

Simplified Explanation

The patent application describes a method and apparatus for improving pose estimation accuracy.

  • The method involves obtaining a first event image and a first target image, where the event image shows the movement trajectory of a target object captured by a motion sensor, and the target image is either an RGB image or a depth image.
  • The integration time of the event image is determined, and if it is below a certain threshold, it is determined that the target image is not suitable for pose estimation.
  • Pose estimation is then performed based on the first event image, which provides more accurate results.


Original Abstract Submitted

A pose estimation method and an apparatus are provided, to obtain a more accurate pose estimation result. The method includes: obtaining a first event image and a first target image, where the first event image is aligned with the first target image in time sequence, the first target image includes an RGB image or a depth image, and the first event image includes an image indicating a movement trajectory that is of a target object and that is generated when the target object moves in a detection range of a motion sensor; determining integration time of the first event image; if the integration time is less than a first threshold, determining that the first target image is not for performing pose estimation; and performing pose estimation based on the first event image.