Regional Foremost Matching for Internet Scene Images
Publication in refereed journal


引用次數
替代計量分析
.

其它資訊
摘要We analyze the dense matching problem for Internet scene images based on the fact that commonly only part of images can be matched due to the variation of view angle, motion, objects, etc. We thus propose regional foremost matching to reject outlier matching points while still producing dense high-quality correspondence in the remaining foremost regions. Our system initializes sparse correspondence, propagates matching with model fitting and optimization, and detects foremost regions robustly. We apply our method to several applications, including time-lapse sequence generation, Internet photo composition, automatic image morphing, and automatic rephotography.
著者Xiaoyong Shen, Xin Tao, Chao Zhou, Hongyun Gao, Jiaya Jia
期刊名稱ACM Transactions on Graphics
出版年份2016
月份11
卷號36
期次6
出版社Association for Computing Machinery (ACM)
頁次178
國際標準期刊號0730-0301
電子國際標準期刊號1557-7368
語言美式英語

上次更新時間 2022-13-01 於 00:50