Embedded Deformation-Based Compression for Human 3D Dynamic Meshes with Changing Topology

Huong Hoang, Kunyao Chen, Truong Nguyen, Pamela Cosman; Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, 2023, pp. 2252-2262

Abstract

3D dynamic meshes offer significant potential in various applications, but their usage is still limited by their large file size. We present a novel method that can compress 3D human dynamic meshes effectively by using embedded deformation to extract the underlying transformations of consecutive frames. We target 3D dynamic meshes with changing connectivity which are more versatile compared to traditional mesh animation but also more challenging. To further reduce the transmission size, we propose a novel optimization-based technique to determine a sparse set of key nodes capable of transmitting the transformations efficiently.

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[bibtex]
@InProceedings{Hoang_2023_ICCV, author = {Hoang, Huong and Chen, Kunyao and Nguyen, Truong and Cosman, Pamela}, title = {Embedded Deformation-Based Compression for Human 3D Dynamic Meshes with Changing Topology}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {2252-2262} }