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Background Range of AFoV Constraints Indexing Grouping Manifold Learning Recognition View Selection
Background of Algebraic Functions of Views
Given an object undergoing 3d rigid transformations, assume the images of the object are obtained by orthographic projection followed by a uniform scaling, the novel view of the object can be expressed as a linear combination of three other views of the same object.

Given 3 reference views of the same object, V1, V2, V3, under different rigid transformations, three points in V1, in V2, in V3 are in correspondence, the correspondence points p(x,y) in the novel view V can be expressed as

                   (1)

For general linear transformations, it is possible to use instead just two reference views of the objects:

                (2)

where aj, bj, j=1,...,4, are the same for all the points which are in correspondence across the three views. Figure 1 shows an example of object model and its linear combinations.

 

Figure 1. (a) and (b) are two reference views of a CAD car model. Figure (c) and (d) are two generated novel views of based on Equation (2). The coefficients for (c) are [0.6940, 0.0280, 0.3660, 0.0903] for x, and [-0.1427, 1.0131,0.1707, 0.0421] for y. The coefficients for (d) are [-1.1103 -0.6058 0.8112 13.0479] for x, and [-0.9840 0.7175, 0.3782, 11.5897] for y.
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Last updated: 05/14/04.