首页    期刊浏览 2024年10月06日 星期日
登录注册

文章基本信息

  • 标题:2D-3D Enhanced Image Conversion Using NLS Method
  • 本地全文:下载
  • 作者:Rohit Singla ; Ms. Nandini ; Deepak Dixit
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2017
  • 卷号:5
  • 期号:4
  • 页码:8516
  • DOI:10.15680/IJIRCCE.2017.05040267
  • 出版社:S&S Publications
  • 摘要:Image processing has completely different forms to perform the popularity, identification andenhancement of pictures. One in all the such associated growing field is that the transformation of the image from onekind to different. This transformation will be done from one image format to different or one structural facet todifferent. one in all such transformation sort is to generate the 3D image by mistreatment the series of 2nd pictures. Aswe know, in world objects are obtainable in 3D kind. If the objects area unit conferred in same approach in pictures, therecognition or the identification rate are high. however just in case of existing dataset available in 2D kind, there's thenecessity of some machine-controlled system, which will get the 3D image from 2D image set. This image set is thatthe real time set of pictures that covers the various structural views of 2D face. The bestowed thesis work is on thebrink of supported identical conception. The work is about to use the prevailing 2D real time image dataset and kind a3D image from it. The presented work is targeted on facial dataset wherever a series of 2nd pictures in hand. The workrelies on the structural analysis of the prevailing image and to derive the structural feature like depth of those featurepoints. To perform the facial feature analysis, the improved least sq. methodology is employed during this work.supported this analysis, the structural information is collected and also the correlation analysis is performed on thesefeature points to obtain the article similarities and also the feature analysis. Finally, the similar and distinctive optionsarea unit separated and determine the meaningful options mistreatment that the face reconstruction is performed. Thework is enforced in mat-lab atmosphere. The results obtained from the system shows the effective generation of 3Dfacial image from 2D image set.
  • 关键词:2D-3D Image Conversion; Image Processing; Non Linear Least Square Method; .Matlab.
国家哲学社会科学文献中心版权所有