發(fā)布時(shí)間：2018-02-26 09:44

  本文關(guān)鍵詞： 2D轉(zhuǎn) 3D深度估算 DIBR 硬件設(shè)計(jì)　出處：《天津大學(xué)》2012年碩士論文　論文類(lèi)型：學(xué)位論文

【摘要】：近年來(lái),立體成像和顯示技術(shù)得到了高速的發(fā)展,市場(chǎng)上已經(jīng)出現(xiàn)多種立體顯示設(shè)備,觀察者可以通過(guò)眾多途徑體驗(yàn)到立體效果。然而,立體成像所需的立體片源由于拍攝校準(zhǔn)難、后期處理復(fù)雜以及拍攝成本高等多種因素限制,導(dǎo)致其數(shù)量非常匱乏,從而使得平面視頻轉(zhuǎn)立體視頻技術(shù)受到越來(lái)越多的青睞。 目前,主流平面視頻轉(zhuǎn)立體視頻技術(shù)存在算法適用范圍窄、對(duì)移動(dòng)設(shè)備支持少的缺點(diǎn),影響了全自動(dòng)視頻立體化的實(shí)用性。針對(duì)上述缺點(diǎn),本文首先設(shè)計(jì)了一種基于視頻內(nèi)容分類(lèi)的全自動(dòng)深度估計(jì)算法:通過(guò)對(duì)視頻運(yùn)動(dòng)類(lèi)型的分析,調(diào)用“運(yùn)動(dòng)中獲取深度”或者“運(yùn)動(dòng)中獲取結(jié)構(gòu)”獲取運(yùn)動(dòng)矢量,再通過(guò)融合運(yùn)動(dòng)矢量和基于顏色的圖像分割結(jié)果優(yōu)化深度圖,最后使用非對(duì)稱(chēng)雙邊濾波進(jìn)行后處理。相比現(xiàn)有方案,該算法在保持深度圖估算效果的同時(shí),所能處理的場(chǎng)景大幅增加,增強(qiáng)了全自動(dòng)平面視頻轉(zhuǎn)立體視頻技術(shù)的實(shí)用性;其次,通過(guò)對(duì)立體成像原理的分析,提出了一種適合于硬件實(shí)現(xiàn)的基于深度圖的立體成像技術(shù)(DIBR),并通過(guò)數(shù)學(xué)優(yōu)化、切割流水線(xiàn)、設(shè)計(jì)專(zhuān)用緩存等方法大幅提高了處理速度、減少了硬件開(kāi)銷(xiāo)。使用Verilog語(yǔ)言在Xilinx Virtex-5 FPGA上進(jìn)行了布局布線(xiàn)后表明:所設(shè)計(jì)的方案硬件資源占用率為現(xiàn)有算法1/30,速度為現(xiàn)有算法的1.8倍。
[Abstract]:In recent years, stereo imaging and display technology has been developing rapidly. There have been many stereo display devices on the market. Observers can experience stereoscopic effects in many ways. However, Due to the difficulty of camera calibration, complex post-processing and high shooting cost, the amount of stereo source for stereo imaging is very scarce, which makes planar video to stereo video technology more and more popular. At present, the mainstream planar video conversion stereo video technology has the shortcomings of narrow range of algorithm application and less support for mobile devices, which affects the practicability of fully automatic video three-dimensional video. In this paper, we first design an automatic depth estimation algorithm based on video content classification: by analyzing the video motion type, we call "get depth in motion" or "get structure in motion" to obtain motion vector. Finally, the depth map is optimized by merging motion vector and color based image segmentation results. Finally, asymmetric bilateral filtering is used for post-processing. Compared with the existing scheme, the algorithm not only maintains the effect of depth map estimation, but also preserves the effect of depth map estimation. The scene that can be processed increases greatly, which enhances the practicability of automatic plane video to stereo video technology. Secondly, through the analysis of stereo imaging principle, A kind of stereo imaging technology based on depth map is proposed, which is suitable for hardware implementation. The processing speed is greatly improved by mathematical optimization, cutting pipeline, designing special buffer, etc. The hardware cost is reduced by using Verilog language in Xilinx Virtex-5 FPGA. The result shows that the hardware resource utilization of the proposed scheme is 1 / 30 of the existing algorithm, and the speed is 1.8 times of that of the existing algorithm.
【學(xué)位授予單位】：天津大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2012
【分類(lèi)號(hào)】：TP391.41;TP368.1

【參考文獻(xiàn)】

相關(guān)期刊論文 前1條

1 王瓊?cè)A;王愛(ài)紅;;三維立體顯示綜述[J];計(jì)算機(jī)應(yīng)用;2010年03期

相關(guān)碩士學(xué)位論文 前2條

1 張建華;基于二維視頻序列的偽立體視頻重建方法研究[D];重慶大學(xué);2007年

2 孫陽(yáng);二維視頻轉(zhuǎn)換為三維視頻的關(guān)鍵技術(shù)研究[D];上海交通大學(xué);2008年

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本文編號(hào)：1537496