Abstract: 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.

Abstract: The present disclosure relates to encoding of video image using coding parameters, which are adapted based on events related to motion within the video image. Image content is captured by a standard image sensor and an event-triggered sensor, providing an event-signal indicating changes (e.g. amount and time-spatial location) of image intensity. Objects are detected within the video image, based on the event signal assessing motion of the object, and their textures extracted. The spatial-time coding parameters of the video image are determined based on the location and strength of the event signal, and the extent to which the detected objects moves.

Abstract: This application provides a dynamic vision sensor. The sensor converts an optical signal into an electrical signal by using a photoelectric conversion unit, to generate a photovoltage; performs second-order difference on the photovoltage by using a second-order differential circuit; and generates a second-order event signal based on a result of second-order difference. A camera including the sensor can generate an image based on the second-order event signal, where the image represents a change of a light change speed.

Abstract: This application provides a dynamic vision sensor. The sensor converts an optical signal into an electrical signal by using a photoelectric conversion unit, to generate a photovoltage; performs second-order difference on the photovoltage by using a second-order differential circuit; and generates a second-order event signal based on a result of second-order difference. A camera including the sensor can generate an image based on the second-order event signal, where the image represents a change of a light change speed.

Abstract: The invention relates to an image processing apparatus for extracting a feature from an image of a scene. The apparatus may comprises processing circuitry configured, in response to a feature extraction event, to extract a feature from first image data representing a first image of a scene, wherein the feature extraction event is based on second image data representing a second image of the scene. The image processing apparatus may include an event driven sensor and the second image may include may include a positive/negative amount of the intensity change and the location of the intensity change. Moreover, the invention relates to a corresponding image processing method.

Abstract: The present disclosure relates to encoding of video image using coding parameters, which are adapted based on events related to motion within the video image. Image content is captured by a standard image sensor and an event-triggered sensor, providing an event-signal indicating changes (e.g. amount and time-spatial location) of image intensity. Objects are detected within the video image, based on the event signal assessing motion of the object, and their textures extracted. The spatial-time coding parameters of the video image are determined based on the location and strength of the event signal, and the extent to which the detected objects moves.