title: A stereo model using LoG and Gabor filtering.
abstract: This paper presents a computational model for stereopsis. Laplacian of Gaussian filters are used to extract spatial features and a set of one-octave Gabor filters is used to extract orientation information from a scene. A mapping from a 3D space onto two 2D image planes is derived using a Gaussian sphere model. The determinant of the Jacobian of the mapping is derived and matching is performed using zero-crossings associated with their orientation information. Relaxation labelling is used as a co-operative process for solving the correspondence problem.
authors.affiliation: School of Computer Science and Engineering, University of New South Wales, Sydney, Australia. jesse@cse.unsw.edu.au
authors.forename: J S
authors.initials: JS
authors.lastname: Jin
authors.forename: W K
authors.initials: WK
authors.lastname: Yeap
authors.forename: B G
authors.initials: BG
authors.lastname: Cox
mesh_terms: D003198:Computer Simulation; D003867:Depth Perception / Q000502:physiology*; D006801:Humans; D008433:Mathematics; D009949:Orientation / Q000502:physiology; D013028:Space Perception / Q000502:physiology