Simultaneous Matching of Curves in Three Dimensions
Simultaneous Matching of Curves in Three Dimensions
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In our eReader you can find the full English version of the book. Read Simultaneous Matching of Curves in Three Dimensions Online - link to read the book on full screen. Our eReader also allows you to upload and read Pdf, Txt, ePub and fb2 books. In the Mini eReder on the page below you can quickly view all pages of the book - Read Book Simultaneous Matching of Curves in Three Dimensions
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To quickly assess the difficulty of the text, read a short excerpt:
This suggests 15 that we can begin by finding the rotation and translation parameters for one curve only, and then can use the other observed curves to refine this initial estimate.
Accordingly we designate one observed curve from a group to be marked as a 'base' curve, and relate the positions of all other curves to the resulting 'bsise' position. The 'base' curve is shifted along the model curve point by point, and the orientation which gives the best match is computed for every point. It is ...best to use the longest observed curve as a 'base'.
For every starting point of the 'base' curve we can compute the rotation and translation parameters that correspond to the best local match between the 'base' curve and the model, using the feist curve mathing technique presented in Section 2. Then we can apply the same transformation to all other observed curves, and compute their relative positions on the model.
The starting-point coordinates thereby computed are only an approx- imation to the true positions of these points in a global best match, and may not be on the model itself but in some distance from the model curve.
What to read after Simultaneous Matching of Curves in Three Dimensions?
You can find similar books in the "Read Also" column, or choose other free books by Eyal Kishon to read onlineMoreLess
To quickly assess the difficulty of the text, read a short excerpt:
This suggests 15 that we can begin by finding the rotation and translation parameters for one curve only, and then can use the other observed curves to refine this initial estimate.
Accordingly we designate one observed curve from a group to be marked as a 'base' curve, and relate the positions of all other curves to the resulting 'bsise' position. The 'base' curve is shifted along the model curve point by point, and the orientation which gives the best match is computed for every point. It is ...best to use the longest observed curve as a 'base'.
For every starting point of the 'base' curve we can compute the rotation and translation parameters that correspond to the best local match between the 'base' curve and the model, using the feist curve mathing technique presented in Section 2. Then we can apply the same transformation to all other observed curves, and compute their relative positions on the model.
The starting-point coordinates thereby computed are only an approx- imation to the true positions of these points in a global best match, and may not be on the model itself but in some distance from the model curve.
What to read after Simultaneous Matching of Curves in Three Dimensions?
You can find similar books in the "Read Also" column, or choose other free books by Eyal Kishon to read onlineMoreLess
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