Multi-view stereoscopic image parallax free correction method

Abstract

The invention discloses a multi-view stereoscopic image parallax free correction method and relates to the image processing technology and free stereoscopic imaging; a multi-view stereoscopic image is obtained by using a parallel camera array method, and two viewpoint views for region segmentation and parallax estimation is selected; image region segmentation is respectively carried out to the two selected viewpoint views to obtain mark numbers of all regions, and a center region object of the view and the coordinate of the geometric center point of the center region object are determined according to the region segmentation result; parallax figure is obtained by adopting a relevant window method based on the region segmentation; a correction translational distance of the multi-view stereoscopic image is calculated according to the stereo vision parallax principle; by taking the view with the viewpoint 1 as the reference, the parallax free correction of the multi-view stereoscopic image is realized; the corrected multi-view stereoscopic image is synthesized into a composite view needed by a multi-view free stereoscopic display by adopting the stereoscopic synthesis algorithm and is displayed on the multi-view free stereoscopic display.

Description

technical field [0001] The invention relates to the field of image processing technology and autostereoscopic imaging, in particular to a method for zero-parallax correction of multi-viewpoint stereoscopic images based on region segmentation for multi-viewpoint views obtained by a parallel camera array method. Background technique [0002] Autostereoscopic display technology does not need to wear auxiliary visual aids, and the naked eye can directly obtain depth information, so that users can experience a lifelike, natural, immersive sense of impact and shock. Multi-viewpoint autostereoscopic display takes into account both binocular parallax and motion parallax. The combination of multiple viewpoints enables multiple people to watch at the same time, and allows viewers to move within a certain range to watch the stereoscopic effect of the same scene from different angles. [0003] Multi-viewpoint autostereoscopic display needs to obtain multi-viewpoint stereoscopic images t...

AI Technical Summary

Problems solved by technology

The disadvantages of the histogram closed value segmentation method are: first, the image segmented only by color may be incomplete; second, if the segmented image has no obvious peak, it is difficult to determine the closed value; third, the color is ignored. Spatial information; Fourth: The negative impact of color divergence may occur when projecting

The advantage of the region-based segmentation method is that noise basically has no effect on it. In this regard, it is stronger than edge detection, but because its growth criterion does not necessarily apply to all regions, it may be over-segmented.

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