纺织学报
紡織學報
방직학보
JOURNAL OF TEXTILE RESEARCH
2010年
3期
133-137
,共5页
人体%三维人体扫描%扫描线点云%光顺去噪%选点删除法%Savitzky-golay滤波
人體%三維人體掃描%掃描線點雲%光順去譟%選點刪除法%Savitzky-golay濾波
인체%삼유인체소묘%소묘선점운%광순거조%선점산제법%Savitzky-golay려파
body%3-D body scanning%scan line point cloud%denoising and smoothing%choose point and delete it%Savimky-golay filter
利用自制的便携式三维人体测量系统获得人体扫描线点云.在测量过程中,由于受扫描设备的物理特性、扫描环境、光照和标定算法本身的缺陷等因素的影响,点云中不可避免混有噪声点.根据噪声点的特点将其分为3类:与人体真实数据相隔较远的点为第1类噪声点;点云中重叠的点为第2类噪声点;夹杂在人体真实数据点中而导致点云不光顺的点为第3类噪声点.对于第1类和第2类噪声点,采用基于距离的选点删除法;对于第3类噪声点采用基于离散点云曲率及曲率变化的Savitzky-golay滤波方法.实验结果显示,以上2种方法能有效去除人体扫描线点云中的噪声点,并能保持点云固有的几何细节.
利用自製的便攜式三維人體測量繫統穫得人體掃描線點雲.在測量過程中,由于受掃描設備的物理特性、掃描環境、光照和標定算法本身的缺陷等因素的影響,點雲中不可避免混有譟聲點.根據譟聲點的特點將其分為3類:與人體真實數據相隔較遠的點為第1類譟聲點;點雲中重疊的點為第2類譟聲點;夾雜在人體真實數據點中而導緻點雲不光順的點為第3類譟聲點.對于第1類和第2類譟聲點,採用基于距離的選點刪除法;對于第3類譟聲點採用基于離散點雲麯率及麯率變化的Savitzky-golay濾波方法.實驗結果顯示,以上2種方法能有效去除人體掃描線點雲中的譟聲點,併能保持點雲固有的幾何細節.
이용자제적편휴식삼유인체측량계통획득인체소묘선점운.재측량과정중,유우수소묘설비적물리특성、소묘배경、광조화표정산법본신적결함등인소적영향,점운중불가피면혼유조성점.근거조성점적특점장기분위3류:여인체진실수거상격교원적점위제1류조성점;점운중중첩적점위제2류조성점;협잡재인체진실수거점중이도치점운불광순적점위제3류조성점.대우제1류화제2류조성점,채용기우거리적선점산제법;대우제3류조성점채용기우리산점운곡솔급곡솔변화적Savitzky-golay려파방법.실험결과현시,이상2충방법능유효거제인체소묘선점운중적조성점,병능보지점운고유적궤하세절.
A portable three dimension(3-D)body measurement system was developed to obtain body scan line point clouds.Because of physical properties of measuring device,environment of measurement,light and defects of calibration algorithm,the initial point cloud include some noisy points.Based on the characters of noisy points,they are divided into three types.The first type has a far distance from true body data points.The second is the lapped points,and the third mixes with true body data to cause the point clouds unfair.The first and second type noisy points are deleted by the distance-based algorithm,and then the third type noisy points are removed by the method of Savitzky-golay filter based on the curvature and curvature change.The results show that the methods are effective on smoothing point cloud and the details of point cloud are remained.