Method for establishing depth of field data for three-dimensional image and system thereof

Abstract

The invention discloses a method for establishing depth of field data for three-dimensional video and system thereof, applied in an three-dimensional image containing a first eye image and a second eye image. The system contains a bias vector matrix, a bias arithmetic device and a comparator. The bias vector matrix contains a data field with identical picture element number and corresponding position of the first eye image, the bias arithmetic device uses the ath first picture element of the first eye image as the center. A reference frame is divided; a target frame is found in the second eye image, and the target frame and the reference frame have a minimum gray level differential value, and a bias vector value is calculated according to the minimum gray level differential value. The comparator judges bias vector quantities values recording all the ath first picture elements in the bias vector matrix, thereby switching the bias vector matrix into a depth chart.

Description

technical field [0001] A method for establishing depth of field data, in particular to a method for establishing depth of field data and its system for calculating the offset of eye images of two different viewing angles to obtain a depth map. Background technique [0002] Generally speaking, a stereoscopic image is composed of two sets of image data with different viewing angles, wherein one set corresponds to the left-eye viewing angle, and the other set corresponds to the right-eye viewing angle. The image corresponding to the perspective of the left eye is called the left-eye image, and the image corresponding to the perspective of the right eye is called the right-eye image. [0003] In the prior art, there are no more than three ways to create a stereoscopic image. The first method: use virtual reality software (Virtual Software) to create a three-dimensional (3D, three-dimensional) scene, including virtual characters, virtual objects, virtual buildings, etc. Stereo ...

AI Technical Summary

Problems solved by technology

[0006] However, using virtual reality software to create a three-dimensional scene and then shoot, it is necessary to design the virtual scene and shoot and produce 3D three-dimensional animation, which is very time-consuming and cannot be applied to the shooting of actual objects (including human bodies or objects)

[0007] Secondly, if two images from different perspectives are taken for the same scene, and then synthesized into a stereoscopic image, the viewer can feel the three-dimensionality of the object from this stereoscopic image, but this kind of stereoscopic image cannot obtain depth of field data or signal.

[0008] Moreover, when a camera with an infrared sensor is shooting an image, although it can use infrared light to sense the depth and distance of the scene to calculate the relevant depth of field data, the sensing distance of the infrared sensor is quite limited. When the camera is too far from the actual scene, the infrared sensor That is, the depth change of the outer contour of the actual scene cannot be sensed, that is, the effective depth of field data cannot be obtained correctly

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