Structure-Sensitive Superpixels via Geodesic Distance
- Author
- PENG WANG1 ; GANG ZENG1 ; RUI GAN2 ; JINGDONG WANG3 ; HONGBIN ZHA1
[1] Key Laboratory on Machine Perception, Peking University, Beijing, China
[2] School of Mathematical Sciences, Peking University, Beijing, China
[3] Microsoft Research Asia, Beijing, China - Source
International journal of computer vision. 2013, Vol 103, Num 1, pp 1-21, 21 p ; ref : 1 p
- ISSN
- 0920-5691
- Scientific domain
- Cognition; Computer science
- Publisher
- Springer, Heidelberg
- Publication country
- Germany
- Document type
- Article
- Language
- English
- Author keyword
- Geodesic distance Iterative optimization Structure-sensitivity Superpixel segmentation
- Keyword (fr)
- Analyse image Base de données Complexité calcul Compression donnée Compression image Ecoulement gradient Efficacité Fermeture Flot géodésique Géodésique Géométrie algorithmique Homogénéité Méthode itérative Optimisation Pixel Traitement image Vision ordinateur Segmentation image
- Keyword (en)
- Image analysis Database Computational complexity Data compression Image compression Gradient flow Efficiency Closure Geodesic flow Geodesic Computational geometry Homogeneity Iterative method Optimization Pixel Image processing Computer vision Image segmentation
- Keyword (es)
- Análisis imagen Base dato Complejidad computación Compresión dato Compresión imagen Flujo cociente Eficacia Cerradura Flujo geodésico Geodésico Geometría computacional Homogeneidad Método iterativo Optimización Pixel Procesamiento imagen Visión ordenador Segmentación de imágenes
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02A Theoretical computing / 001D02A05 Algorithmics. Computability. Computer arithmetics
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence / 001D02C03 Pattern recognition. Digital image processing. Computational geometry
- Discipline
- Computer science : theoretical automation and systems
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 27594736
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1007/s11263-012-0588-6 
https://dx.doi.org/10.1007/s11263-012-0588-6
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