A Temporal Cross-Based Stereo Matching Method

碩士 === 國立成功大學 === 電腦與通信工程研究所 === 103 === In the recent year, many methods is developed for stereo matching to generate a better depth map, but lots of them consider an instant time only. It will meet a bottleneck to the accuracy because of the limited information. Moreover, the depth map of a video...

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Main Authors: Hou-ChunMok, 莫皓全
Other Authors: Pau-Choo Chung
Format: Others
Language:en_US
Published: 2015
Online Access:http://ndltd.ncl.edu.tw/handle/dqt56q
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spelling ndltd-TW-103NCKU56520642019-05-15T22:18:20Z http://ndltd.ncl.edu.tw/handle/dqt56q A Temporal Cross-Based Stereo Matching Method 基於十字的序列立體匹配演算法 Hou-ChunMok 莫皓全 碩士 國立成功大學 電腦與通信工程研究所 103 In the recent year, many methods is developed for stereo matching to generate a better depth map, but lots of them consider an instant time only. It will meet a bottleneck to the accuracy because of the limited information. Moreover, the depth map of a video sequence will flicker due to the movement of the object and the neighborhood of each pixel. In order to solve the problem mention above, in this thesis an algorithm which considers the spatial-temporal information is proposed to enhance the accuracy and the consistency in a sequence. The paper is divided into three parts. The first part is to compute the disparity between the left and the right images according to the similarity. Then, we search the corresponding pixel between the before and after frame and add the temporal cost into consideration. Third, we perform post processing such as left-right check and bilateral filter to de-noise. Temporal median smooth the flickering and discontinuity as a sequence. Pau-Choo Chung 詹寶珠 2015 學位論文 ; thesis 46 en_US
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language en_US
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description 碩士 === 國立成功大學 === 電腦與通信工程研究所 === 103 === In the recent year, many methods is developed for stereo matching to generate a better depth map, but lots of them consider an instant time only. It will meet a bottleneck to the accuracy because of the limited information. Moreover, the depth map of a video sequence will flicker due to the movement of the object and the neighborhood of each pixel. In order to solve the problem mention above, in this thesis an algorithm which considers the spatial-temporal information is proposed to enhance the accuracy and the consistency in a sequence. The paper is divided into three parts. The first part is to compute the disparity between the left and the right images according to the similarity. Then, we search the corresponding pixel between the before and after frame and add the temporal cost into consideration. Third, we perform post processing such as left-right check and bilateral filter to de-noise. Temporal median smooth the flickering and discontinuity as a sequence.
author2 Pau-Choo Chung
author_facet Pau-Choo Chung
Hou-ChunMok
莫皓全
author Hou-ChunMok
莫皓全
spellingShingle Hou-ChunMok
莫皓全
A Temporal Cross-Based Stereo Matching Method
author_sort Hou-ChunMok
title A Temporal Cross-Based Stereo Matching Method
title_short A Temporal Cross-Based Stereo Matching Method
title_full A Temporal Cross-Based Stereo Matching Method
title_fullStr A Temporal Cross-Based Stereo Matching Method
title_full_unstemmed A Temporal Cross-Based Stereo Matching Method
title_sort temporal cross-based stereo matching method
publishDate 2015
url http://ndltd.ncl.edu.tw/handle/dqt56q
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AT mòhàoquán jīyúshízìdexùlièlìtǐpǐpèiyǎnsuànfǎ
AT houchunmok temporalcrossbasedstereomatchingmethod
AT mòhàoquán temporalcrossbasedstereomatchingmethod
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