發(fā)布時(shí)間：2018-09-18 10:54

【摘要】：半自動(dòng)2D轉(zhuǎn)3D是解決當(dāng)前3D影視內(nèi)容匱乏的重要途徑�，F(xiàn)有方法大多借助局部鄰域進(jìn)行深度插值,忽略了圖像的全局約束關(guān)系,因而難以準(zhǔn)確恢復(fù)深度圖的對(duì)象邊界。針對(duì)該問題,提出鄰域擴(kuò)展的最優(yōu)化深度插值方法。首先引入鄰域的鄰域,建立鄰域擴(kuò)展的最優(yōu)化深度插值能量模型;其次在相似的像素點(diǎn)與其鄰域加權(quán)深度平均值的差異近似相等的假設(shè)條件下,將深度插值能量模型的最優(yōu)化問題轉(zhuǎn)換成一個(gè)稀疏線性方程組的求解問題。實(shí)驗(yàn)結(jié)果表明,與當(dāng)前流行的半自動(dòng)2D轉(zhuǎn)3D方法相比,該方法估計(jì)的深度圖PSNR更高,同時(shí)增強(qiáng)了深度圖的對(duì)象邊界質(zhì)量。
[Abstract]:Semi-automatic 2D to 3D is an important way to solve the shortage of 3D video content. Most of the existing methods use local neighborhood to carry out depth interpolation, ignoring the global constraint of the image, so it is difficult to accurately restore the object boundary of the depth map. To solve this problem, an optimal depth interpolation method based on neighborhood extension is proposed. Firstly, the neighborhood of the neighborhood is introduced to establish the optimal depth interpolation energy model of the neighborhood extension; secondly, under the assumption that the difference between the similar pixel points and the weighted depth mean of the neighborhood is approximately equal to that of the average value of the weighted depth of the neighborhood, the optimal depth interpolation energy model is established. The optimization problem of depth interpolation energy model is transformed into a sparse linear equation system. The experimental results show that compared with the popular semi-automatic 2D / 3D method, the proposed method can estimate the depth map with a higher PSNR and enhance the object boundary quality of the depth map.
【作者單位】： 南京理工大學(xué)泰州科技學(xué)院計(jì)算機(jī)科學(xué)與技術(shù)系;寧波工程學(xué)院電子與信息工程學(xué)院;
【基金】：國家自然科學(xué)基金資助項(xiàng)目(61170200) 浙江省自然科學(xué)基金資助項(xiàng)目(LY16F010014)
【分類號(hào)】：TP391.41
，

本文編號(hào)：2247684