Detection of generalized principal axes is rotationally symmetric shapes
Pattern Recognition
Simple and fast computation of moments
Pattern Recognition
Machine vision
Robust Rotation Angle Estimator
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust normalization of silhouettes for recognition applications
Pattern Recognition Letters - Special issue: Discrete geometry for computer imagery (DGCI'2002)
Radon Transform Orientation Estimation for Rotation Invariant Texture Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Sparse Texture Representation Using Local Affine Regions
IEEE Transactions on Pattern Analysis and Machine Intelligence
SAXually Explicit Images: Finding Unusual Shapes
ICDM '06 Proceedings of the Sixth International Conference on Data Mining
Notes on shape orientation where the standard method does not work
Pattern Recognition
Automatic system for quality-based classification of marble textures
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Automatic gait recognition based on statistical shape analysis
IEEE Transactions on Image Processing
Affine-permutation invariance of 2-D shapes
IEEE Transactions on Image Processing
On the Orientability of Shapes
IEEE Transactions on Image Processing
Curvature weighted gradient based shape orientation
Pattern Recognition
Orientation and anisotropy of multi-component shapes from boundary information
Pattern Recognition
Robust shape normalization of 3D articulated volumetric models
Computer-Aided Design
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We consider the method that computes the shape orientation as the direction 驴 that maximises the integral of the length of projections, taken to the power of 2N, of all the straight line segments whose end points belong to the shape, to a line that has the slope 驴. We show that for N=1 such a definition of shape orientation is consistent with the shape orientation defined by the axis of the least second moment of inertia. For N1 this is not the case, and consequently our new method can produce different results. As an additional benefit our approach leads to a new method for computation of the orientation of compound objects.