Surface Orientation from Projective Foreshortening of Isotropic Texture Autocorrelation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computing Local Surface Orientation and Shape from Texture forCurved Surfaces
International Journal of Computer Vision
Invariant feature extraction for 3D texture analysis using the autocorrelation function
Pattern Recognition Letters
IEEE Transactions on Image Processing
Image registration and object recognition using affine invariants and convex hulls
IEEE Transactions on Image Processing
Parametric estimation of the orientation of textured planar surfaces
IEEE Transactions on Image Processing
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We present a new method for computing the movement parameters of textured surfaces moving in a three dimensional environment. This method is based on the fact that the autocorrelation functions of an image and of its affine transformed version are linked by the same affine transformation applied to their axes. We use the Euler's angles and the weak perspective projection. We show how to compute directly the movement parameters by means of fourth-degree polynomials which model outlines extracted from the autocorrelation function. Experimental results are presented which support the effectiveness of the proposed approach.