Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
143 tokens/sec
GPT-4o
7 tokens/sec
Gemini 2.5 Pro Pro
46 tokens/sec
o3 Pro
4 tokens/sec
GPT-4.1 Pro
38 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

Volume Tracking Based Reference Mesh Extraction for Time-Varying Mesh Compression (2407.02457v1)

Published 2 Jul 2024 in cs.MM

Abstract: Time-Varying meshes (TVMs), characterized by their varying connectivity and number of vertices, hold significant potential in immersive media and other various applications. However, their practical utilization is challenging due to their time-varying features and large file sizes. Creating a reference mesh that contains the most essential information is a promising approach to utilizing shared information within TVMs to reduce storage and transmission costs. We propose a novel method that employs volume tracking to extract reference meshes. First, we adopt as-rigid-as-possible (ARAP) volume tracking on TVMs to get the volume centers for each mesh. Then, we use multidimensional scaling (MDS) to get reference centers that ensure the reference mesh avoids self-contact regions. Finally, we map the vertices of the meshes to reference centers and extract the reference mesh. Our approach offers a feasible solution for extracting reference meshes that can serve multiple purposes such as establishing surface correspondence, deforming the reference mesh to different shapes for I-frame based mesh compression, or defining the global shape of the TVMs.

Definition Search Book Streamline Icon: https://streamlinehq.com
References (10)
  1. MPEG-4, “Information technology Coding of audiovisual objects - Part 16: Animation Framework eXtension (AFX),” ISO/IEC 14496-16, 2021.
  2. “Cfp for dynamic mesh coding,” ISO/IEC JTC1/SC29/WG7/N00231, Online, October, 2021.
  3. K. Mammou, J. Kim, A. M. Tourapis, D. Podborski, and D. Flynn, “Video and Subdivision based Mesh Coding,” in 2022 EUVIP, Lisbon, Portugal: IEEE, Sep. 2022, pp. 1–6. doi: 10.1109/EUVIP53989.2022.9922888.
  4. R. W. Sumner, J. Schmid, and M. Pauly, “Embedded Deformation for Shape Manipulation,” ACM Transactions on Graphics, 2007, vol. 26, no. 3.
  5. Jeong-Hyu Yang, Chang-Su Kim, and Sang-Uk Lee, “Progressive Coding of 3D Dynamic Mesh Sequences Using Spatiotemporal Decomposition,” in 2005 IEEE International Symposium on Circuits and Systems, Kobe, Japan: IEEE, 2005, pp. 944–947.
  6. H. Hoang, K. Chen, T. Nguyen, and P. Cosman, “Embedded Deformation-based Compression for Human 3D Dynamic Meshes with Changing Topology,” in 2023 ICCVW, Paris, France: IEEE, Oct. 2023, pp. 2244–2254.
  7. X. Jin, J. Xu, and K. Kawamura, “Embedded Graph Representation for Inter-Frame Coding of Dynamic Meshes,” in ICASSP 2024 - 2024, Seoul, Korea, Republic of: IEEE, Apr. 2024, pp. 4070–4074.
  8. J. Dvořák, F. Hácha, and L. Váša, “Global Optimisation for Improved Volume Tracking of Time-Varying Meshes,” in Computational Science 2023, vol. 10476, Cham: Springer Nature Switzerland, 2023, pp. 113–127.
  9. X. Jin, J. Xu, and K. Kawamura, “Inter-Frame Coding for Dynamic Meshes Via Temporally-Consistent Re-Meshing,” in 2023 ICIP, Kuala Lumpur, Malaysia: IEEE, Oct. 2023, pp. 2000–2004.
  10. Yu Zhong, “Intrinsic shape signatures: A shape descriptor for 3d object recognition,” in 2009 IEEE ICCV Workshops, 2009, pp. 689–696.

Summary

We haven't generated a summary for this paper yet.