Download 3D computer vision: efficient methods and applications by Christian Wöhler PDF

By Christian Wöhler

This ebook presents an creation to the principles of 3-dimensional desktop imaginative and prescient and describes contemporary contributions to the sector. Geometric equipment contain linear and package adjustment dependent ways to scene reconstruction and digital camera calibration, stereo imaginative and prescient, aspect cloud segmentation, and pose estimation of inflexible, articulated, and versatile items. Photometric options review the depth distribution within the picture to deduce 3-dimensional scene constitution, whereas real-aperture ways take advantage of the habit of the purpose unfold functionality. it really is proven how the mixing of a number of equipment raises reconstruction accuracy and robustness. purposes eventualities contain commercial caliber inspection, metrology, human-robot-interaction, and distant sensing.

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32) where the matrix M T M M T is the pseudoinverse of M. Eq. 32) yields a leastsquares solution for the parameter vector L. It is important to note that the coefficient matrix A in Eq. 31) contains the values Qi , which in turn depend on the parameters L9 , L10 , and L11 . 32) has to be computed iteratively. It is worth noting that the control points must not be coplanar but have to obtain a volume in three-dimensional space if the projection of arbitrary scene points onto the image plane is required.

35) yields a linear homogeneous equation in the eight unknowns r11 , r12 , r13 , r21 , r22 , r23 , tx , and ty according to (xu)r ˆ 11 + (yv)r ˆ 12 + (zv)r ˆ 13 + vt ˆ x − (xu)r ˆ 21 − (yu)r ˆ 22 − (zu)r ˆ 23 − ut ˆ y = 0. 36) The coefficients in Eq. 36) consist of the coordinates of control points and their corresponding image points. 36). Due to the fact that Eq. 36) is homogeneous, each solution for the eight unknowns remains a solution when it is multiplied by a uniform scale factor. g. ty , by setting ty = 1.

68) A geometric entity which is important in this context is the absolute conic Ω∞ . 69) holds. Points x˜ = (X ,Y, Z,W )T on the absolute conic Ω∞ are situated on the plane at infinity π˜ ∞ . In a metric coordinate system we have π˜ ∞ = (0, 0, 0, 1)T , and points on Ω∞ satisfy the two relations X 2 + Y 2 + Z2 = 0 W = 0. 70) For points on π˜ ∞ with W = 0, Eq. 70) can be written as (X ,Y, Z)I(X,Y, Z)T = 0. Accordingly, the matrix representation of Ω∞ is the identity matrix I. All points on Ω∞ are located on π˜ ∞ and are purely imaginary.

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