Regional foremost matching for internet scene images
Refereed conference paper presented and published in conference proceedings


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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
會議名稱ACM SIGGRAPH Asia 2016
會議開始日05.12.2016
會議完結日09.12.2016
會議地點Macao
會議國家/地區中國
會議論文集題名ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2016
出版年份2016
月份11
卷號35
期次6
出版社ACM
頁次178
國際標準期刊號0730-0301
語言美式英語

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