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In computer vision, the trifocal tensor (also tritensor) is a 3×3×3 array of numbers (i.e., a tensor) that incorporates all projective geometric relationships among three views. It relates the coordinates of corresponding points or lines in three views, being independent of the scene structure and depending only on the relative motion (i.e., pose) among the three views and their intrinsic calibration parameters. Hence, the trifocal tensor can be considered as the generalization of the fundamental matrix in three views. It is noted that despite that the tensor is made up of 27 elements, only 18 of them are actually independent. == Correlation slices == The tensor can also be seen as a collection of three rank-two 3 x 3 matrices known as its ''correlation slices''. Assuming that the projection matrices of three views are , and , the correlation slices of the corresponding tensor can be expressed in closed form as , where are respectively the ''i''th columns of the camera matrices. In practice, however, the tensor is estimated from point and line matches across the three views. 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Trifocal tensor」の詳細全文を読む スポンサード リンク
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