计算机辅助设计与图形学学报
計算機輔助設計與圖形學學報
계산궤보조설계여도형학학보
JOURNAL OF COMPUTER-AIDED DESIGN & COMPUTER GRAPHICS
2014年
11期
2046-2055
,共10页
相位测量轮廓术%L M edS%贪心策略%相位立体匹配
相位測量輪廓術%L M edS%貪心策略%相位立體匹配
상위측량륜곽술%L M edS%탐심책략%상위입체필배
phase measuring profilometry%LMedS%greedy strategy%phase-based stereo matching
为了改善基于相位测量轮廓术的测量系统测量效率低、系统稳定性差等缺陷,提出一种基于改进L M edS算法和贪心估计策略的快速相位立体匹配方法。首先在L M edS算法中引入平差函数模型,通过及时剔除错误样本减少计算成本函数的累加次数,不仅保持了L M edS算法的良好鲁棒性,而且有效地减少了算法的计算量;用贪心估计策略对改进的L M edS算法获得的初始内点集进行优化,剔除相对匹配程度较差的内点,并用优化的内点集求解基本矩阵,进一步提高算法的估计精度和鲁棒性;最后结合相位立体匹配原理对实物进行了三维重建,分析比较了传统的基于摄像机标定结果的相位立体匹配方法与改进方法的性能。实验结果表明,该方法满足三维形貌测量对实时性、鲁棒性和精度的要求,测量数据完整、可靠。
為瞭改善基于相位測量輪廓術的測量繫統測量效率低、繫統穩定性差等缺陷,提齣一種基于改進L M edS算法和貪心估計策略的快速相位立體匹配方法。首先在L M edS算法中引入平差函數模型,通過及時剔除錯誤樣本減少計算成本函數的纍加次數,不僅保持瞭L M edS算法的良好魯棒性,而且有效地減少瞭算法的計算量;用貪心估計策略對改進的L M edS算法穫得的初始內點集進行優化,剔除相對匹配程度較差的內點,併用優化的內點集求解基本矩陣,進一步提高算法的估計精度和魯棒性;最後結閤相位立體匹配原理對實物進行瞭三維重建,分析比較瞭傳統的基于攝像機標定結果的相位立體匹配方法與改進方法的性能。實驗結果錶明,該方法滿足三維形貌測量對實時性、魯棒性和精度的要求,測量數據完整、可靠。
위료개선기우상위측량륜곽술적측량계통측량효솔저、계통은정성차등결함,제출일충기우개진L M edS산법화탐심고계책략적쾌속상위입체필배방법。수선재L M edS산법중인입평차함수모형,통과급시척제착오양본감소계산성본함수적루가차수,불부보지료L M edS산법적량호로봉성,이차유효지감소료산법적계산량;용탐심고계책략대개진적L M edS산법획득적초시내점집진행우화,척제상대필배정도교차적내점,병용우화적내점집구해기본구진,진일보제고산법적고계정도화로봉성;최후결합상위입체필배원리대실물진행료삼유중건,분석비교료전통적기우섭상궤표정결과적상위입체필배방법여개진방법적성능。실험결과표명,해방법만족삼유형모측량대실시성、로봉성화정도적요구,측량수거완정、가고。
In order to improve defects of the measurement system based on phase measuring profilometry ,such as low measuring efficiency and bad system stability etc ,a fast phase‐based stereo matching method based on improved LMedS algorithm and greedy strategy was presented . The adjustment models was introduced into the LMedS algorithm to search the optimal model parameters . The accumulation of computing times of the cost function was cut down by eliminating the false samples as soon as possible ,which kept the better robustness of LMedS and reduced its computation amount effectively .Then ,the initial inliers obtained by the improved LMedS were optimized with the greedy strategy .Those relatively inappropriate inliers were removed and the optimized inliers were used to compute the fundamental matrix to enhance the precision and improve the robustness of the algorithm .Finally ,through three‐dimensional reconstruction of certain objects ,this paper compared the performances of the traditional phase‐based stereo matching method based on camera calibration result and the improved method .Experimental results showed that the proposed algorithm can met the requirements for real‐time , precision and robustness in the fields such as three‐dimensional measurement and the data was complete and reliable .