Title :
3D Euclidean versus 2D non-Euclidean: two approaches to 3D recovery from images
Author :
Kanatani, Ken-Ichi
Author_Institution :
Dept. of Comput. Sci., Gunma Univ., Japan
fDate :
3/1/1989 12:00:00 AM
Abstract :
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
Keywords :
computer vision; computerised picture processing; 2D nonEuclidean space; 3D Euclidean space; 3D recovery; computer vision; computerised picture processing; motion; object model; projected images; shape; Computer vision; Equations; Image analysis; Image motion analysis; Image reconstruction; Layout; Motion analysis; Optical arrays; Shape; Solid modeling;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
