计算机应用与软件
計算機應用與軟件
계산궤응용여연건
Computer Applications and Software
2015年
10期
172-177
,共6页
图像分割%SIFT 算法%图割理论%视差范围%迭代最小二乘法%视差图
圖像分割%SIFT 算法%圖割理論%視差範圍%迭代最小二乘法%視差圖
도상분할%SIFT 산법%도할이론%시차범위%질대최소이승법%시차도
Image segmentation%SIFT algorithm%Graph cuts theory%Disparity range%Iterative least squares%Disparity map
基于图割理论的立体匹配是从同一场景不同角度的两幅或多幅图像中得到视差图，进而求得场景的立体深度，为三维重建、视觉测量等提供有用的信息。然而，视图视差范围的选择往往被忽视，提出一种基于图像分割及 GPU SIFT 算法的视差范围快速自动提取算法，得到的视差范围值应用于立体匹配算法中视差范围的取值；并针对图割方法进行立体匹配时存在的正面平行表面缺陷的问题，提出一种最小二乘法的迭代改进方法，对立体匹配得到的视差图进行优化处理。对 Middlebury 中的标准数据进行测试的结果表明，该算法能准确地提取视图的视差范围，并有效提高各类平面与曲面的视差精度。
基于圖割理論的立體匹配是從同一場景不同角度的兩幅或多幅圖像中得到視差圖，進而求得場景的立體深度，為三維重建、視覺測量等提供有用的信息。然而，視圖視差範圍的選擇往往被忽視，提齣一種基于圖像分割及 GPU SIFT 算法的視差範圍快速自動提取算法，得到的視差範圍值應用于立體匹配算法中視差範圍的取值；併針對圖割方法進行立體匹配時存在的正麵平行錶麵缺陷的問題，提齣一種最小二乘法的迭代改進方法，對立體匹配得到的視差圖進行優化處理。對 Middlebury 中的標準數據進行測試的結果錶明，該算法能準確地提取視圖的視差範圍，併有效提高各類平麵與麯麵的視差精度。
기우도할이론적입체필배시종동일장경불동각도적량폭혹다폭도상중득도시차도，진이구득장경적입체심도，위삼유중건、시각측량등제공유용적신식。연이，시도시차범위적선택왕왕피홀시，제출일충기우도상분할급 GPU SIFT 산법적시차범위쾌속자동제취산법，득도적시차범위치응용우입체필배산법중시차범위적취치；병침대도할방법진행입체필배시존재적정면평행표면결함적문제，제출일충최소이승법적질대개진방법，대입체필배득도적시차도진행우화처리。대 Middlebury 중적표준수거진행측시적결과표명，해산법능준학지제취시도적시차범위，병유효제고각류평면여곡면적시차정도。
Stereo matching algorithm based on graph cuts theory produces disparity images from two or more images of the same scene in different visual angles,from which the stereo depth of scene can be further obtained,this brings available information to 3-D reconstruction and vision measurement.However,the choice of the disparity range is often overlooked.In the paper we present a fast disparity range auto-matic extraction algorithm which is based on image segmentation and GPU SIFT algorithm,the value of disparity range derived is applied to the value assigning of disparity range in stereo matching algorithm.Moreover,we present an iterative improvement method of the least squares for solving the problem of front parallel surface defect happened in stereo matching with graph cuts,and carry out optimised processing on dis-parity image obtained in stereo matching.It is demonstrated by the result of the test with standard data in Middlebury that the proposed algo-rithm can extract the disparity range of visual image accurately,and improves the accuracy of the disparity of various flat and curved planes ef-fectively.
