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Proceedings ArticleDOI

Mirror and point symmetry under perspective skewing

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TLDR
It is argued that several sets of symmetry specific invariants are derived that can be used in different situations, depending on the a priori assumptions made, and that all the results directly apply to the case of perspectively skewed point symmetry.
Abstract
Over recent years, symmetry research has shifted from the detection of affinely to perspectively skewed mirror symmetry. Also, links between invariance research and symmetry-specific geometric constraints have been established. The paper aims to contribute to both strands. Several sets of symmetry specific invariants are derived, that can be used in different situations, depending on the a priori assumptions made. It is also argued that all the results directly apply to the case of perspectively skewed point symmetry.

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Citations
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Journal ArticleDOI

A performance evaluation of local descriptors

TL;DR: It is observed that the ranking of the descriptors is mostly independent of the interest region detector and that the SIFT-based descriptors perform best and Moments and steerable filters show the best performance among the low dimensional descriptors.
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A computational model for periodic pattern perception based on frieze and wallpaper groups

TL;DR: A set of computer algorithms are developed that "understand" a given periodic pattern by automatically finding its underlying lattice, identifying its symmetry group, and extracting its representative motifs.
Book

Computational Symmetry in Computer Vision and Computer Graphics

TL;DR: Recognizing the fundamental relevance and group theory of symmetry has the potential to play an important role in computational sciences.
Journal ArticleDOI

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TL;DR: A new, algorithmic theory of moving frames is applied to classify joint invariants and joint differential invariants of transformation groups to help solve object recognition problems in computer vision and the design of invariant numerical approximations.
Proceedings ArticleDOI

Performance evaluation of state-of-the-art discrete symmetry detection algorithms

TL;DR: The results indicate that even after several decades of effort, symmetry detection in real-world images remains a challenging, unsolved problem in computer vision.
References
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Book

Perceptual Organization and Visual Recognition

David G. Lowe
TL;DR: Spatial organization and recognition are shown to be a practical basis for current systems and to provide a promising path for further development of improved visual capabilities.
Book

Algebraic projective geometry

TL;DR: This chapter discusses the origins and development of chemical knowledge, and the role of atoms and molecules in the development of knowledge.
Journal ArticleDOI

Recovery of the three-dimensional shape of an object from a single view

TL;DR: The purpose of this paper is to identify some of these assumptions about the world and the image formation process by demonstrating how the theory and techniques which exploit such assumptions can provide a systematic shape-recovery method.
Journal ArticleDOI

Shape from Symmetry: Detecting and Exploiting Symmetry in Affine Images

TL;DR: In this article, the authors investigate the constraints placed on the image projection of a planar object having local reflectional symmetry, and demonstrate an efficient algorithm for detecting and verifying symmetries despite the distorting effects of image skewing.
Journal ArticleDOI

On characterizing ribbons and finding skewed symmetries

TL;DR: Using the curvature of the contour of a Brooks ribbon, the answer to this question is yes for some classes of Brooks ribbons, including skewed symmetries, and this result is used in an implemented algorithm for finding skewed asymmetries in an image.
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