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研究生:邱榮楠
研究生(外文):Rong-Nan Chiou
論文名稱:三眼視訊系統特徵匹配之研究
論文名稱(外文):A Study of Feature Matching in Trinocular Vision Systems
指導教授:陳進興陳進興引用關係
指導教授(外文):Chin-Hsing Chen
學位類別:博士
校院名稱:國立成功大學
系所名稱:電機工程研究所
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:1993
畢業學年度:81
語文別:英文
論文頁數:104
中文關鍵詞:多面體重建多面體辨識立體視覺特徵匹配同位限制攝影機組態誤差分析.
外文關鍵詞:PolyherdonReconstructionRecognitionStereo vision Feature Matching
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本論文基於立體視覺的三眼分析, 發展多面體的辨識演算法則.整個演算
法包含兩個主要處理程序. 第一個處理程序為多面體的重建 , 第二個處
理程序為多面體的辨識.多面體辨識程序用以完成單一多面體的辨識. 其
方法係以部分重建之單一多面體三維外形特徵與資料庫內之模型匹配, 選
出可能的對應, 並接受為候選模型. 再將候選模型經座標轉換後, 投影至
原始影像平面, 與輸入之物體影像比對影像輪廓, 以選出正確的匹配模
型.多面體之重建程序為對複數個多面體做正確重建. 本文分析三眼系
統, 找出能作正確二維特徵匹配的系統組態. 不但降低模稜兩可的匹配
率, 且可有效的解決投影時物體互相遮蔽所產生的假性特徵的匹配.基於
對系統所擷取三維資訊精確性的需求, 本文配合各種攝影機組態, 分析因
特徵在影像平面的偏移所導致三維座標的誤差, 並進而以分析結果的誤差
特性, 應用為系統的匹配指標, 以導出匹配門檻值 , 提升自動化的程度.
Base on three-view analysis, this disseration presents object
recognition and stereo analysis for a trinocular sys- tem. In
object recognition, the 3D surface data, represented by corners
and line drawing, and the outer boundary of image projection
are used to find the exact corresponding model of an unknown
input object. In the stereo analysis, feature pr- ojection
location constraint is performed by the (feature- deviation)-
to-(epipolar distance) transformation and the optimal
epipolar constraint. The inherent matching problems associated
with the spurious features produced by overlapping among
objects, the periodic structure of figures and the
occlusion features were solved. Because the optimal epipolar
constraint is enforced before the system start to work, com-
putation time is greatly saved and the ambiguous correspond-
ences are profusely reduced. Stereo errors caused by the
deviation from the exact projection location of a feature were
estimated for various camera configurations. Based on the
estimation of the stereo error, the thresholding of the least
square error required for matching two sets of 3D data was
then derived. The derivation result has been sucessfully
applied in the polyhedron recognition for 3D feature
matching. Since the stereo error and the deviation of the
feature are utilized, the threshold values for 2D and 3D
feature matching can be automatically calculated for
different camera configuration and adaptively set for various
matched feature sets. This increases the precision of the
matching results and solves the troublesome problems in the
threshold setting process.
目錄
中文摘要
第一章 緒論
第二章 誤差之預估
第三章 多面的辨識
第四章 三眼系統之最佳攝影機幾何及匹配品質分析
第五章 結論
List of Figures
List of Tables
Abstract
Chapter One. Introduction
Chapter Two. Estimation of Stereo Error
Chapter Three. Polyhedron Recognition Using Three-view Analysis
I. Introduction
II. Estabishment of the three-view system for polyhedron reconstruction
III. Three-view recognition method
IV. Experimental results
V. Summary
Chapter Four. The optimal Camera Geometry and Its Performance analysis of A Trinocular Vision System
I. Introduction
II. The projetion location constraint
III. The (feature deviation)-to-(epipolar distance) transformation
VI. The optimal epipolar constraint
V. Experiments
VI. Summary
Chapter Five. Conclusions
References
Biograhy
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