DeepMind項目MegaSaM ：輸入普通視頻即可預估相機視角和景深，構建視頻場景
近日，谷歌深度學習團隊和多所大學的研究人員聯合發佈了一項名爲 “MegaSaM” 的新系統，該系統能夠從普通的動態視頻中快速、準確地估計相機參數和深度圖。這一技術的問世，將爲我們在日常生活中錄製的視頻帶來更多的可能性，特別是在動態場景的捕捉與分析方面。傳統的運動結構重建（Structure from Motion，SfM）和單目同步定位與地圖構建(SLAM)技術，通常需要輸入靜態場景的視頻，並且對視差的要求較高。面對動態場景，這些方法的表現往往不盡如人意，因爲在缺乏靜態背景的情況下
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