Energy Minimization Methods in Computer Vision and Pattern Recognition
10th International Conference, EMMCVPR 2015, Hong Kong, China, January 13-16, 2015. Proceedings
Seiten
2014
Springer International Publishing (Verlag)
978-3-319-14611-9 (ISBN)
Springer International Publishing (Verlag)
978-3-319-14611-9 (ISBN)
This volume constitutes the refereed proceedings of the 10th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2015, held in Hong Kong, China, in January 2015. The 36 revised full papers were carefully reviewed and selected from 45 submissions. The papers are organized in topical sections on discrete and continuous optimization; image restoration and inpainting; segmentation; PDE and variational methods; motion, tracking and multiview reconstruction; statistical methods and learning; and medical image analysis.
Discrete and continuous optimization.- Image restoration and inpainting.- Segmentation.- PDE and variational methods.- Motion, tracking and multiview reconstruction.- Statistical methods and learning.- Medical image analysis.
| Erscheint lt. Verlag | 18.12.2014 |
|---|---|
| Reihe/Serie | Image Processing, Computer Vision, Pattern Recognition, and Graphics | Lecture Notes in Computer Science |
| Zusatzinfo | X, 506 p. 179 illus. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 775 g |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Schlagworte | Algorithm analysis and problem complexity • clustering algorithm • computer vision • Computervision • Convex Optimization • Image Processing • iterative methods • machine learning • multi-view stereo • Mustererkennung • Numerical analysis • optic disk • Optimization • pattern recognition • semantic image segmentation • Statistical Methods • total variation • variational methods |
| ISBN-10 | 3-319-14611-4 / 3319146114 |
| ISBN-13 | 978-3-319-14611-9 / 9783319146119 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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