Title :
Variational principles, surface evolution, PDEs, level set methods, and the stereo problem
Author :
Faugeras, Olivier ; Keriven, Renaud
Author_Institution :
Inst. Nat. de Recherche en Inf. et Autom., Sophia-Antipolis, France
fDate :
3/1/1998 12:00:00 AM
Abstract :
We present a novel geometric approach for solving the stereo problem for an arbitrary number of images (⩾2). It is based upon the definition of a variational principle that must be satisfied by the surfaces of the objects in the scene and their images. The Euler-Lagrange equations that are deduced from the variational principle provide a set of partial differential equations (PDEs) that are used to deform an initial set of surfaces which then move toward the objects to be detected. The level set implementation of these PDEs potentially provides an efficient and robust way of achieving the surface evolution and to deal automatically with changes in the surface topology during the deformations, i.e., to deal with multiple objects. Results of an implementation of our theory also dealing with occlusion and visibility are presented on synthetic and real images
Keywords :
computer vision; image matching; object detection; partial differential equations; stereo image processing; variational techniques; Euler-Lagrange equations; PDE; computer vision; deformations; geometric approach; image matching; level set methods; multiple objects; object detection; occlusion; partial differential equations; real images; stereo images; stereo problem solution; surface evolution; surface topology; synthetic images; variational principles; Cameras; Computer vision; Differential equations; Layout; Level set; Object detection; Partial differential equations; Pixel; Robustness; Stereo vision;
Journal_Title :
Image Processing, IEEE Transactions on