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<p>Methods of 3D recovery in computer vision for computing the shape and motion of an object from projected images when an object model is available are classified into two types: the 3D Euclidean approach, which is based on geometrical constraints in 3D Euclidean space, and the 2D non-Euclidean space. Implications of these two approaches are discussed, and some illustrating examples are presented.</p>
2D nonEuclidean space; computerised picture processing; 3D recovery; computer vision; shape; motion; projected images; object model; 3D Euclidean space; computer vision; computerised picture processing
K.I. Kanatani, "3D Euclidean Versus 2D Non-Euclidean: Two Approaches to 3D Recovery from Images", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 11, no. , pp. 329-332, March 1989, doi:10.1109/34.21802
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