Image segmentation and multithread fusion-based method and system for evaluating depth of single image

Abstract

The invention discloses an image segmentation and multithread fusion-based method and an image segmentation and multithread fusion-based system for evaluating depth of a single image. The method comprises the following steps: setting an input image and an element template, and finding all elements matched with the template in the input image by using the match of shape and texture, shielding evaluation and an image segmentation method which is simultaneously performed on the basis of an image model; extracting depth cue parameters of each element, wherein the depth cue parameters comprise the size of the element, a shielding relationship and the blur length of each element in the image obtained by the computation; according to the depth cue parameters, evaluating a depth value of each element and using an area in the image except the elements as a background; performing depth fitting on an inner area of each element according to a three-dimensional pose of the element obtained by matching the shape; and finally obtaining an optimized depth map. By comprehensively utilizing the depth cue parameters such as the imaging sizes of objects, the shielding relationship and the blur length, the relative depth map of the single image is obtained.

Description

technical field [0001] The invention relates to the fields of computer vision and image processing, in particular to a single image depth estimation method and system based on image segmentation and multi-cue fusion. Background technique [0002] In order to meet the development needs of the new generation of digital media and further promote the update of stereoscopic display technology, the research on 3D information restoration and scene reconstruction in computer vision and other related fields has become one of the hot spots. With the rapid development and widespread popularization of digital image acquisition equipment, a large number of two-dimensional data sources, image libraries, and photo collections have become media materials commonly owned by people. How to restore the stereoscopic information of the real world (that is, the depth information perpendicular to the image plane in the third dimension) based on a two-dimensional image is one of the classic problems...

AI Technical Summary

Problems solved by technology

However, this method needs to collect training data and establish a sample library, and the calculation performance needs to be further improved.

[0005] In short, the current single-view depth estimation methods still have their own limitations, and there is no good solution to this problem.

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