计算机应用研究2012，Vol.29Issue(9)：3543-3546,4.DOI:10.3969/j.issn.1001-3695.2012.09.091
一种用于三维重建的彩色Sift准稠密匹配算法
Quasi-dense matching based on color Sift algorithm for 3D reconstruction
摘要
Abstract
This paper proposed a quasi-dense matching algorithm based on the Kubelka-Munk theory for uncalibrated images, it contributed to more accurate 3D reconstruction. Because Sift algorithm was less capable of matching for color images under changing illumination. First, it found color invariant of each pixel in color images for extracting color feature points and constructing color sift feature descriptor to match, using RANSAC robust algorithm to eliminate false matches for generating seed points. Then it presented a adaptive window method to adjust search scope, which was based on the mean of disparity gradient according to the parallax constraint. Finally, it used the principle of the highest priority for regional growth. Experiments show that this algorithm can obtain satisfactory quasi-dense matching results, and it is an effective dense matching algorithm for 3D Reconstruction.关键词
彩色Sift/区域增长/准稠密匹配/视差约束Key words
color Sift/regional growth/quasi-dense matching/parallax constraint分类
信息技术与安全科学引用本文复制引用
赵璐璐,耿国华,周明全,王小凤..一种用于三维重建的彩色Sift准稠密匹配算法[J].计算机应用研究,2012,29(9):3543-3546,4.基金项目
国家自然科学基金资助项目(61172170) （61172170）
国家教育部博士点基金资助项目(200806970014) （200806970014）
陕西省自然科学基金资助项目(2011JQ8001,2010JQ8011) （2011JQ8001,2010JQ8011）
虚拟现实应用教育部工程研究中心开放基金资助项目(MEOB-NUEVRA200903) （MEOB-NUEVRA200903）
