Transformational Approach for Alignment-free Image Matching Applications
作者: Komal KomalNandita BhattacharjeeDavid AlbrechtBala Srinivasan
作者单位: Monash University, Australia;;Monash University, Australia;;Monash University, Australia;;Monash University, Australia
论文集英文名称: Advances in Mobile Computing & Multimedia
来源数据库: Association for Computing Machinery
DOI: 10.1145/3151848.3151855
关键词: Bayesian NetworkQuality of ExperienceMobile cloud servicesSurvey evaluation
原始语种摘要: One of the fundamental steps in computer vision and image processing applications is the alignment of images before matching. A number of alignment methods based on features points, pixel information and transformation parameters have been proposed in the literature. All these methods either suffer from accurate detection of feature points or are computationally expensive that makes the entire matching process time consuming. The fast matching of images performed without alignment can benefit a number of image matching applications. In this paper, a transformational approach is proposed that identifies whether two images are similar or not without performing an alignment. The matching without alignment reduces the computation time of the entire matching process. The effectiveness of the...
全文获取路径: ACM 

  • matching 匹配
  • processing 加工
  • demonstrate 说明
  • accurate 精确的
  • feature 结构元件
  • consuming 耗的
  • pixel 像素
  • vision 视力
  • existing 现行
  • image