Image blur based on 3D depth information

摘要

Blurring is simulated in post-processing for captured images. A 3D image is received from a 3D camera, and depth information in the 3D image is used to determine the relative distances of objects in the image. One object is chosen as the subject of the image, and an additional object in the image is identified. Image blur is applied to the identified additional object based on the distance between the 3D camera and the subject object, the distance between the subject object and the additional object, and a virtual focal length and virtual f-number.

主权项

1. A method for applying image blur based on depth information, comprising:
receiving a 3D image captured by a 3D camera, the 3D image comprising a plurality of objects and depth information for each of the plurality of objects; identifying one of the plurality of objects as a subject object; determining a first distance between the 3D camera and the subject object based on the depth information associated with the subject object; determining a second distance between the subject object and a first additional object of the plurality of objects based on the depth information associated with the first additional object and the depth information associated with the subject object; receiving a virtual f-number and a virtual focal length; calculating a first blur factor for the first additional object, the first blur factor based on the first distance, the second distance, the virtual f-number, and the virtual focal length; and applying a first image blur to the first additional object based on the first blur factor, wherein a magnitude of the applied first image blur is greater if the first additional object is closer to the camera than the subject object than if the subject object is closer to the camera than the first additional object.