Detecting Symmetry and Symmetric Constellations of Features
By Gareth Blake Loy, Jan-Olof Eklundh. European Conference on Computer Vision, 2006
398 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/cd504d07b1b7205f7c960da1d2c70cfda4126027
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Aerospace Engineering
- Leonidas J. Guibas
- Niloy J. Mitra
- Hongxun Yao
- Sicheng Zhao
- Mark Pauly
- Tat-seng Chua
- Michal Irani
- Yanxi Liu
In Computer Vision and Pattern Recognition
- Luc Van Gool
- Ming-Hsuan Yang
- Dacheng Tao
- Jitendra Malik
- Xiaogang Wang
- Trevor Darrell
- Bernt Schiele
- Andrew Zisserman
Citations in the corpus
- Exploring Principles-of-Art Features For Image Emotion Recognition (2014, methodology): “Since the asymmetrical balance is difficult to measure mathematically, in this paper we only consider symmetry, including bilateral symmetry, rotational symmetry [22] and radial symmetry [23, 28].”
- Segmentation and Unsupervised Part-based Discovery of Repetitive Objects (2010, background): “Detection of regularly repeating patterns has been the focus of many researchers [2, 3] with some recent work by Loy and Eklundh [4] on grouping of features based on symmetry, and by Wenzel et al.”
- Mirror, mirror on the wall, tell me, is the error small? (2015, methodology): “Our method is also very different from object/feature de tection methods that exploit mirror symmetry as a constraint in model building [19, 12].”
- Beyond Planar Symmetry: Modeling Human Perception of Reflection and Rotation Symmetries in the Wild (2017, methodology): “Reflection Symmetry Detection Proposed Sym-NETs Original Image Ground Truth Loy & Eklundh [46] MIL [67] SRF [63] FSDS [59] Sym-VGG Sym-ResNet”
- Partial and approximate symmetry detection for 3D geometry (2006, methodology): “Recently ideas based on the Hough transform have been used by [Loy and Eklundh 2006] to detect reflective and rotational symmetries in images.”
- Matching Local Self-Similarities across Images and Videos (2007, methodology): “Local self-similarities of image patterns have also been employed for the purpose of texture edge detection [25], for detecting symmetries [14], and for other applications.”