(X ,Y ,Z ) (U ,V ) (X ,Y ,Z ) (U ,V ) (X ,Y ,Z )（(X,Y,Z)(U,V)(X,Y,Z)(U,V)(X,Y,Z)）.pdf

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2017-08-11 发布于浙江
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(X ,Y ,Z ) (U ,V ) (X ,Y ,Z ) (U ,V ) (X ,Y ,Z )（(X,Y,Z)(U,V)(X,Y,Z)(U,V)(X,Y,Z)）.pdf

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(X ,Y ,Z ) (U ,V ) (X ,Y ,Z ) (U ,V ) (X ,Y ,Z )（(X,Y,Z)(U,V)(X,Y,Z)(U,V)(X,Y,Z)）

3D Structure from 2D Motion Tony Jebara, Ali Azarbayejani and Alex Pentland MIT Media Lab oratory, Cambridge MA, 02139 f jebara, ali, sandy g@media.mit .edu tently extract, lo cate and lab el 2D features in the scene. Such 2D features could include salient p oints in the im- age, corners of ob jects, lines along their edges or curves around their contours. In each frame, the features are detected and asso ciated to their corresp onding instan- tiations in the other frames. These (usually noisy and error-prone) 2D measurements are the inputs to the SfM problem. The availability of corresp onded features re- stricts the SfM problem to the so-called Corresponded Structure from Motion geometric task which will b e the fo cus herein. It should b e noted, however, that matching and detecting feature p oints is a fundamental and decid- I. I