公开(公告)号：US20220205835A1

公开(公告)日：2022-06-30

申请号：US17594551

申请日：2020-04-24

Applicant: PROPHESEE

Inventor： Geoffrey F. BURNS ,  Manuele BRAMBILLA ,  Christoph POSCH ,  Gaspard FLORENTZ ,  Stephane VALENTE

IPC: G01H9/00

Abstract: The present disclosure generally relates to systems and methods for imaging and sensing vibrations of an object. In one implementation, a system is provided for detecting vibrations that comprises a sensor with a plurality of pixels, each pixel including at least one photosensitive element. The sensor is configured to output signals related to illumination on each pixel. The system also includes at least one processor configured to receive the output signals from the sensor and detect, based on the output signals, one or more polarities. The at least one processor is also configured to determine timestamps associated with the output signals, analyze the timestamps and the polarities to detect vibrations of an object in the field of view of the sensor, and determine one or more frequencies of the detected vibrations.

公开(公告)号：US20220329771A1

公开(公告)日：2022-10-13

申请号：US17657724

申请日：2022-04-01

Applicant: PROPHESEE

Inventor： Daniele PERRONE ,  Jacques MANDERSCHIED ,  Stephane VALENTE

IPC: H04N13/128 ,  H04N13/25 ,  G06T7/32

Abstract: A method for registering pixels provided in a pixel event stream comprising: acquiring image frames from a frame-based camera, each image frame being generated using an exposure period; generating a first point matrix from one or more of the image frames, the first point matrix being associated with an acquisition period of the image frames; acquiring a pixel event stream generated during the acquisition period; generating a second point matrix from pixel events of the pixel event stream, occurring during the acquisition period of the first point matrix; computing a correlation scoring function applied to at least a part of the points of the first and second point matrices, and estimating respective positions of points of the second point matrix in the first point matrix, due to depths of the points of the first point matrix related to the second point matrix, by maximizing the correlation scoring function.