An Algebraic Surface Projecting onto Squares

2019 ◽  
Vol 42 (2) ◽  
pp. 66-69
Author(s):  
Carlos Ueno
Keyword(s):  
2009 ◽  
Vol 44 (9) ◽  
pp. 1291-1310 ◽  
Author(s):  
Lionel Alberti ◽  
Bernard Mourrain ◽  
Jean-Pierre Técourt

Author(s):  
András Pongrácz ◽  
Csaba Vincze

AbstractUp to an orientation-preserving symmetry, photographic images are produced by a central projection of a restricted area in the space into the image plane. To obtain reliable information about physical objects and the environment through the process of recording is the basic problem of photogrammetry. We present a reconstruction process based on distances from the center of projection and incidence relations among the points to be projected. For any triplet of collinear points in the space, we construct a surface of revolution containing the center of the projection. It is a generalized conic that can be represented as an algebraic surface. The rotational symmetry allows us to restrict the investigations to the defining polynomial of the profile curve in the image plane. An equivalent condition for the boundedness is given in terms of the input parameters, and it is shown that the defining polynomial of the profile curve is irreducible.


2014 ◽  
pp. 29-31
Author(s):  
Bo Zheng
Keyword(s):  

Author(s):  
MICHIEL HAGEDOORN ◽  
REMCO C. VELTKAMP

Affine invariant pattern metrics are useful for shape recognition. It is important that such a metric is robust for various defects. We formalize these types of robustness using four axioms. Then, we present the reflection metric. This is an affine invariant metric defined for the large family of "boundary patterns". A boundary pattern is a finite union of n-1 dimensional algebraic surface patches in ℝn. Such a pattern may have multiple connected components. We prove that the reflection metric satisfies the four robustness axioms.


2021 ◽  
pp. 49-52
Author(s):  
Bo Zheng
Keyword(s):  

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