Three-dimensional model matching from an unconstrained viewpoint

It is demonstrated that the affine viewing transformation is a reasonable approximation to perspective. A group of image vertices and edges, called the vertex-pair, which fully determines the affine transformation between a three-dimensional model and a two-dimensional image is defined. A clustering approach, which produces a set of consistent assignments between vertex-pairs in the model and in the image is described. A number of experimental results on outdoor images are presented.

[1]  Lawrence G. Roberts,et al.  Machine Perception of Three-Dimensional Solids , 1963, Outstanding Dissertations in the Computer Sciences.

[2]  George Markowsky,et al.  Fleshing Out Wire Frames , 1980, IBM J. Res. Dev..

[3]  J. Canny Finding Edges and Lines in Images , 1983 .

[4]  Olivier D. Faugeras,et al.  A 3-D Recognition and Positioning Algorithm Using Geometrical Matching Between Primitive Surfaces , 1983, IJCAI.

[5]  Ramesh C. Jain,et al.  Three-dimensional object recognition , 1985, CSUR.

[6]  Larry S. Davis,et al.  Object recognition using oriented model points , 1986 .

[7]  Michael Brady,et al.  The Curvature Primal Sketch , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.