# BoNeRF-HS

Low texture, specular reflection and irregular morphology make external pose estimation such as COLMAP unreliable on bone surfaces, yet existing hyperspectral 3D reconstruction methods depend on such poses. BoNeRF-HS jointly optimizes camera intrinsics, per-view poses, volume density and the hyperspectral radiance field, and adds a gated spectral adapter head that learns a residual correction across neighbouring bands. On 45-view, 120-band, 400–1000 nm data from mouse bone, a trabecular bone analogue and a cortical bone analogue, it gives the highest PSNR and SSIM on all three specimens, with PSNR 29.94 and SSIM 0.9254 on mouse bone.

Low texture, specular reflection and irregular morphology make external pose estimation such as COLMAP unreliable on bone surfaces, yet existing hyperspectral 3D reconstruction methods depend on such poses. BoNeRF-HS jointly optimizes camera intrinsics, per-view poses, volume density and the hyperspectral radiance field, and adds a gated spectral adapter head that learns a residual correction across neighbouring bands. On 45-view, 120-band, 400–1000 nm data from mouse bone, a trabecular bone analogue and a cortical bone analogue, it gives the highest PSNR and SSIM on all three specimens, with PSNR 29.94 and SSIM 0.9254 on mouse bone.