Super pixel-based target reconstruction method

Abstract

The invention provides a super pixel-based target reconstruction method. The method is formed by structure-from-motion (SFM) projection matrix estimation, multi-view stereoscopic vision matching undersuper pixels and synthesis and fusion of depth graphs. A specific process includes the six major steps of: step 1, reading an image sequence, and utilizing a structure-from-motion method to estimatea camera projection matrix; step 2, carrying out super-pixel segmentation on image pairs; step 3, calculating possible depth values for each super pixel; step 4, utilizing an MRF model to select optimal depth values of the super pixels; step 5, creating a multi-scale super-pixel framework; and step 6, carrying out depth graph fusion and surface meshing. According to the method, a disadvantage of insufficient precision of super pixel-based stereoscopic vision matching is overcome, advantages that the same is high in robustness for noises and brightness deviations, can accurately provide targetcontour information, and is low in calculation complexity are utilized, better reconstruction results can be achieved for both texture regions and non-texture regions, and universality is high. The method has broad application backgrounds.

Description

technical field [0001] The invention relates to a superpixel-based object reconstruction method, which has better reconstruction effects for objects with complex detailed surfaces, objects with non-diffuse reflection surfaces, and objects with high-light area surfaces, and belongs to the field of computer vision. Background technique [0002] UAV is a kind of unmanned aircraft controlled by on-board equipment program or human remote control, which can carry various equipment to perform tasks. With the rapid development of UAV technology, its application fields are also more extensive. Among them, the target detection and 3D reconstruction of the image sequence captured by the UAV is the focus and difficulty of the research. [0003] Generally speaking, the essence of 3D reconstruction is to obtain 3D information through certain technical means. These technical means are usually divided into the following three types: active distance acquisition and reconstruction methods, c...

AI Technical Summary

Problems solved by technology

Its disadvantage is that the reconstruction operation is complicated, requires well-trained professionals and sufficiently accurate reconstruction target data, and at the same time, the modeling cycle is long and the cost is high

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