Stereoscopic video display method and device based on image sparse features

Abstract

The invention discloses a stereoscopic video display method and device based on image sparse features. The stereoscopic video display method based on the image sparse features comprises the following steps of: acquiring 3D image data; converting target information of all pixel points in the 3D image data into a target matrix, and according to an image sparse feature algorithm, calculating out a projection matrix of the target matrix, wherein target data comprises color information, three-dimensional information and illumination information; extracting pixel points corresponding to all non-vanishing vectors in the projection matrix to form a target pixel region; and carrying out compression on all the pixel points in the projection matrix except for the target pixel region, and according to the target pixel region of the 3D image data, reconstructing a 3D image to form a stereoscopic video. According to the technical scheme of the invention, a user can more easily and visually observe variations of a key region in a 3D image, and visual fatigue is reduced.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a stereoscopic video display method and device based on image sparse features. Background technique [0002] Stereoscopic content generation equipment usually collects two-way optical signals, converts the optical signals separated by the optical splitter into digital signals through the CCD or CMOS photosensitive element on the industrial camera, and then transmits the image data to the computer or computer through the data interface on the industrial camera. On the monitor, the two signals are presented to the eyes of the observer respectively. The stereoscopic content generation device has two side-by-side imaging components, which collect the observed objects in real time from different viewing angles, and after processing the obtained binocular images, they can form stereoscopic vision. Stereoscopic content generating equipment can be used in a wide range o...

AI Technical Summary

Problems solved by technology

[0003] In the image obtained by using the stereoscopic content generation device to observe the observation area, the number of pixels with special or significant significance is much less than the total number of pixels in the image, such as key areas, these pixels may be regular Distributed in the image, but it is also possible that it is distributed irregularly in the image, and the entire stereoscopic image is usually displayed in the prior art, so that the user cannot intuitively observe the changes in the key areas, and it is easy to cause visual fatigue

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