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lxc_422
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ÓôÃÆµÄGENIUS: ½ð±Ò+5, ¡ï¡ï¡ïºÜÓаïÖú 2014-12-25 11:42:00
ÓôÃÆµÄGENIUS: ½ð±Ò+10 2014-12-25 18:12:01
ÓôÃÆµÄGENIUS: ½ð±Ò+10 2015-01-03 17:33:40
¸Ðл²ÎÓ룬ӦÖúÖ¸Êý +1
ÓôÃÆµÄGENIUS: ½ð±Ò+5, ¡ï¡ï¡ïºÜÓаïÖú 2014-12-25 11:42:00
ÓôÃÆµÄGENIUS: ½ð±Ò+10 2014-12-25 18:12:01
ÓôÃÆµÄGENIUS: ½ð±Ò+10 2015-01-03 17:33:40
|
First, you should compute the essential matrix E. Second, according to E=[t]xR, if you know the translation matrix t and the rotation matrix R, then you could obtain the pose of the camera. However, you only have two images at hand. We assume that the camera are uncalibrated, therefore, you need to solve the fundamental matrix F from the corresponding points. Since E=KT*F*K, you should compute the calibration matrix K. We know that K only could be determined from autocalibration(or self-calibration), because the camera has not been calibrated. Hence, if you solved the problem of camera autocalibration and obtained K, then you could easily obtain the pose of the camera. How could we solve the autocalibration problem? The idea of auto calibrating a camera originated in the literature titled "Camera self-calibration: Theory and experiments" by Faugeras, Luong and Maybank in 1992. You could find out more useful information from this idea. |

2Â¥2014-12-25 10:09:32
ÓôÃÆµÄGENIUS
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3Â¥2014-12-25 11:41:48
lxc_422
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4Â¥2014-12-25 12:50:37
lxc_422
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5Â¥2014-12-25 12:55:57
ÓôÃÆµÄGENIUS
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6Â¥2014-12-25 18:02:01














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