Energy Minimization Methods in Computer Vision and Pattern Recognition : 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

• Pubblicazione: Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
• Edizione: 1st ed. 2013.
• Descrizione fisica: 1 online resource (XII, 363 p. 130 illus.)
• Disciplina: 006.4
• Soggetto topico: Pattern recognition; Computer software—Reusability; Optical data processing; Algorithms; Data mining; Pattern Recognition; Performance and Reliability; Image Processing and Computer Vision; Algorithm Analysis and Problem Complexity; Computer Imaging, Vision, Pattern Recognition and Graphics; Data Mining and Knowledge Discovery
• Persona (resp. second.): HeydenAnders; KahlFredrik; OlssonCarl; OskarssonMagnus; TaiXue-Cheng
• Note generali: Bibliographic Level Mode of Issuance: Monograph
• Nota di contenuto: Medical Imaging -- Image Editing -- 3D Reconstruction -- Shape Matching -- Scene Understanding -- Segmentation; Superpixels -- Statistical Methods and Learning.
• Sommario/riassunto: 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.
• Titolo autorizzato: Energy Minimization Methods in Computer Vision and Pattern Recognition
• ISBN: 3-642-40395-6
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910484945903321
• Lo trovi qui: Univ. Federico II
• Serie: Image Processing, Computer Vision, Pattern Recognition, and Graphics ; ; 8081