Stereo Video Depth Estimation Based on Disparity Map Propagation
碩士 === 國立成功大學 === 電腦與通信工程研究所 === 101 === In this paper, we propose a novel algorithm to propagate depth map using on stereo video. Stereo matching algorithm used to calculate the depth value according to the clues given by the left and right frames at the same time. However, if we recalculate every...
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ndltd-TW-101NCKU56520022015-10-13T21:38:03Z http://ndltd.ncl.edu.tw/handle/15918653359863135368 Stereo Video Depth Estimation Based on Disparity Map Propagation 於立體序列影像上應用的深度圖推估演算法 Chen-YuWang 王偵羽 碩士 國立成功大學 電腦與通信工程研究所 101 In this paper, we propose a novel algorithm to propagate depth map using on stereo video. Stereo matching algorithm used to calculate the depth value according to the clues given by the left and right frames at the same time. However, if we recalculate every new frame by these algorithms, due to the movement of the objects, surrounding information will be different and some objects may be covered by others when calculating, the output of depth map will easily vibrate without coincidence. What mentioned above will generate big influences and bring the users trouble. If we want better outcomes, the stability of depth maps is a crucial point. This paper will focus on this issue and bring out a new notion, considering the motion of objects, the frames in different time, and the relationship between left and right frames to propagate a new depth map. This algorithm include three parts. First, to consider the similar pixels at the same time, we use Quadtree to divide the frame into many blocks, and give the rough depth value of the blocks through CCH and Bilateral Filter. Second, using moving value, the relationships between different times and correspondence of left and right to modify the most possible depth value. The last one, to refine the depth map. Pau-Choo Chung 詹寶珠 2012 學位論文 ; thesis 51 en_US |
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碩士 === 國立成功大學 === 電腦與通信工程研究所 === 101 === In this paper, we propose a novel algorithm to propagate depth map using on stereo video. Stereo matching algorithm used to calculate the depth value according to the clues given by the left and right frames at the same time. However, if we recalculate every new frame by these algorithms, due to the movement of the objects, surrounding information will be different and some objects may be covered by others when calculating, the output of depth map will easily vibrate without coincidence. What mentioned above will generate big influences and bring the users trouble. If we want better outcomes, the stability of depth maps is a crucial point. This paper will focus on this issue and bring out a new notion, considering the motion of objects, the frames in different time, and the relationship between left and right frames to propagate a new depth map.
This algorithm include three parts. First, to consider the similar pixels at the same time, we use Quadtree to divide the frame into many blocks, and give the rough depth value of the blocks through CCH and Bilateral Filter. Second, using moving value, the relationships between different times and correspondence of left and right to modify the most possible depth value. The last one, to refine the depth map.
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author2 |
Pau-Choo Chung |
author_facet |
Pau-Choo Chung Chen-YuWang 王偵羽 |
author |
Chen-YuWang 王偵羽 |
spellingShingle |
Chen-YuWang 王偵羽 Stereo Video Depth Estimation Based on Disparity Map Propagation |
author_sort |
Chen-YuWang |
title |
Stereo Video Depth Estimation Based on Disparity Map Propagation |
title_short |
Stereo Video Depth Estimation Based on Disparity Map Propagation |
title_full |
Stereo Video Depth Estimation Based on Disparity Map Propagation |
title_fullStr |
Stereo Video Depth Estimation Based on Disparity Map Propagation |
title_full_unstemmed |
Stereo Video Depth Estimation Based on Disparity Map Propagation |
title_sort |
stereo video depth estimation based on disparity map propagation |
publishDate |
2012 |
url |
http://ndltd.ncl.edu.tw/handle/15918653359863135368 |
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