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Energy Minimization Methods in Computer Vision and Pattern Recognition [electronic resource] : 9th International Conference, EMMCVPR 2013, Lund, Sweden, August 19-21, 2013. Proceedings / edited by Anders Heyden, Fredrik Kahl, Carl Olsson, Magnus Oskarsson, Xue-Cheng Tai.
Materialtyp:
TextSerie: Utgivningsuppgift: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013Utgåva: 1st ed. 2013Beskrivning: XII, 363 p. 130 illus. online resourceInnehållstyp: - text
- computer
- online resource
- 9783642403958
- Automated Pattern Recognition
- Hardware Performance and Reliability
- Computer Vision
- Algorithms
- Computer Imaging, Vision, Pattern Recognition and Graphics
- Data Mining and Knowledge Discovery
- Pattern recognition systems
- Computers
- Computer vision
- Algorithms
- Image processing -- Digital techniques
- Data mining
- 006.4 23
Innehåll:
Sammanfattning: This volume constitutes the refereed proceedings of the 9th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2013, held in Lund, Sweden, in August 2013. The 26 revised full papers were carefully reviewed and selected from 40 submissions. The papers are organized in topical sections on Medical Imaging; Image Editing; 3D Reconstruction; Shape Matching; Scene Understanding; Segmentation; Superpixels; Statistical Methods and Learning.
Medical Imaging -- Image Editing -- 3D Reconstruction -- Shape Matching -- Scene Understanding -- Segmentation; Superpixels -- Statistical Methods and Learning.
Inga fysiska exemplar för denna post
Medical Imaging -- Image Editing -- 3D Reconstruction -- Shape Matching -- Scene Understanding -- Segmentation; Superpixels -- Statistical Methods and Learning.
This volume constitutes the refereed proceedings of the 9th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2013, held in Lund, Sweden, in August 2013. The 26 revised full papers were carefully reviewed and selected from 40 submissions. The papers are organized in topical sections on Medical Imaging; Image Editing; 3D Reconstruction; Shape Matching; Scene Understanding; Segmentation; Superpixels; Statistical Methods and Learning.
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