@conference {41097,
	title = {Gaussian Splatting-Based Head and Pinna Reconstruction for Individualized HRTF Computation from Commodity Multi-View Images},
	booktitle = {the AES 160th Convention},
	year = {2026},
	month = { 28-30 May},
	pages = {10290},
	address = {Copenhagen, Denmark},
	abstract = {Individualized head-related transfer functions (HRTFs) require accurate pinna geometry, yet commodity multi-view captures leave the ear region self-occluded and weakly textured. We present a practical pipeline that couples ear-centric acquisition with 3D Gaussian splatting (3DGS) and the boundary element method (BEM) for complete HRTF computation. The protocol augments horizontal views with per-ear elevated captures under directional lighting; 3DGS training with depth-distortion regularization yields watertight meshes via truncated signed distance function (TSDF) fusion. Standardized head coordinates and ear-canal annotations interface the mesh with BEM. Experimental evaluations demonstrate that our method achieves lower ear-region geometric error and lowerfull-band spectral distortion compared to existing image-based personalized reconstruction baselines including AudioEar, NeuS, and Metashape MVS.},
	url = {https://aes.org/publications/elibrary-page/?id=23188},
	author = {Zhu, Houlin and Xihong Wu and Tianshu Qu}
}
