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研究生:胡家豪
研究生(外文):Chia-hao Hu
論文名稱:基於感測器的攝影機位移及旋轉之補償機制
論文名稱(外文):Compensation Mechanism for Reducing Offset and Rotation of Camera Based on Sensors
指導教授:張嘉銘張嘉銘引用關係
指導教授(外文):Chia-ming Chang
口試委員:張嘉銘
口試日期:2012-07-26
學位類別:碩士
校院名稱:大同大學
系所名稱:資訊工程學系(所)
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2012
畢業學年度:100
語文別:中文
論文頁數:26
中文關鍵詞:感測器補償機制
外文關鍵詞:compensation mechanismsensors
相關次數:
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  • 收藏至我的研究室書目清單書目收藏:2
隨著時代的進步,行車記錄器在現今社會上已經非常普及。這些影像記錄通常用於一些行車糾紛的證據或惡劣駕駛行為的檢舉;也有些人用於記錄出去遊玩時,拍攝沿途所經過的風景當作出遊回憶。
行車時偶爾會因為路面崎嶇不平或擦撞導致拍攝的影片嚴重搖晃,這會使得觀看者不易理解影片內容,若是兜風時的風景則會讓使用者不想保留。
因此本論文提出一套補償機制,利用感測器與攝影機結合,同步記錄晃動時的角度及位移量,再對原始影像進行補償,使補償後的影片看起來能呈現出主體不動,提昇觀看者的舒適度。
這套補償機制能夠有效的降低因振動所導致的畫面位移,垂直位移降低約原來的29%,水平位移降低約原來的47%,旋轉位移降低約原來的19%。
With the progressing of technology, vehicle video recorders have become popular now. These video records are used as the evidence of traffic dispute or used to report the bad driving behavior. They also used to record the landscape when they are driving as the travel memories.
The shot videos would make the viewer hard to recognize the video content when they are shaking seriously due to the bumpy road. Therefore, they will not keep these records.
In this thesis, a compensation mechanism accomplished by simultaneously recording the video from camera and rotating angles from sensors. Then the data of rotating angles are used to compensate the original recorded videos. The compensated video shows the fixed objects and moving view range. And it will give comfort to the viewer.
This compensation mechanism can reduce the vibration and displacement of picture reduced from original video. The reduction capability is about 29% in vertical offset, about 47% in horizontal offset and about 19% in rotating angle, respectively.
誌謝 iii
摘要 iv
Abstract v
第1章 前言 1
1.1介紹 1
1.2研究動機 1
1.3論文架構 2
第2章 背景與相關研究 3
2.1簡介 3
2.2數位相機防震技術 3
2.3加速度計、陀螺儀、磁力計相關應用 4
2.3.1智慧型手機應用程式 4
2.3.2體感遊戲遙控器 5
2.3.3陀螺儀計算物體旋轉角度 5
2.3.4利用加速度計與陀螺儀測量傾角 6
2.4影像位移計算 6
第3章 系統架構 7
3.1系統概觀 7
3.2前端記錄 8
3.2.1記錄階段 8
3.3後端處理 9
3.3.1數據轉換 10
3.3.2影像補償 12
3.4梯形變形 14
第4章 系統實作與結果 15
4.1實驗平台及開發工具 15
4.1.1OpenCV 16
4.1.2iNEMO STEVAL-MKI062V2 16
4.2實驗結果 17
4.2.1拍攝環境 17
4.2.2數據資料轉換 18
4.2.3位移補償 19
4.3位移誤差測量 24
第5章
結論 26
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