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Computational Visual Media [electronic resource] : 12th International Conference, CVM 2024, Wellington, New Zealand, April 10-12, 2024, Proceedings, Part I / edited by Fang-Lue Zhang, Andrei Sharf.

Contributor(s): Zhang, Fang-Lue [editor.] | Sharf, Andrei [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Computer Science: 14592Publisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2024Edition: 1st ed. 2024.Description: XIV, 323 p. 124 illus., 121 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9789819720958.Subject(s): Computer vision | Pattern recognition systems | Application software | Computer graphics | Artificial intelligence | Algorithms | Computer Vision | Automated Pattern Recognition | Computer and Information Systems Applications | Computer Graphics | Artificial Intelligence | AlgorithmsAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.37 Online resources: Click here to access online In: Springer Nature eBookSummary: This book constitutes the refereed proceedings of CVM 2024, the 12th International Conference on Computational Visual Media, held in Wellington, New Zealand, in April 2024. The 34 full papers were carefully reviewed and selected from 212 submissions. The papers are organized in topical sections as follows: Part I: Reconstruction and Modelling, Point Cloud, Rendering and Animation, User Interations. Part II: Facial Images, Image Generation and Enhancement, Image Understanding, Stylization, Vision Meets Graphics.
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This book constitutes the refereed proceedings of CVM 2024, the 12th International Conference on Computational Visual Media, held in Wellington, New Zealand, in April 2024. The 34 full papers were carefully reviewed and selected from 212 submissions. The papers are organized in topical sections as follows: Part I: Reconstruction and Modelling, Point Cloud, Rendering and Animation, User Interations. Part II: Facial Images, Image Generation and Enhancement, Image Understanding, Stylization, Vision Meets Graphics.

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