activity
20242026
collaborators

5 papers

cs.CV2026

Surface-to-Skeleton 3D Cephalometry: Estimating Hidden Skeletal Landmarks from CT-Derived External Soft-Tissue Surfaces

Tomoki Abe, Taiki Kanaya, Kazuki Saita +4

Existing 3D facial-landmark methods localize points on visible skin, but whether CT-defined internal skeletal landmarks can be inferred from external soft-tissue geometry remains u…

cs.CV2026

Profile-Specific 3DMM Regression from a Single Lateral Face Image

Taiki Kanaya, Hideo Saito

Single-image 3D face reconstruction is a core problem in computer vision, with important clinical applications such as cephalometric landmark analysis in orthodontics. Traditionall…

cs.CV2025

Disturbance-Free Surgical Video Generation from Multi-Camera Shadowless Lamps for Open Surgery

Yuna Kato, Shohei Mori, Hideo Saito +3

Video recordings of open surgeries are greatly required for education and research purposes. However, capturing unobstructed videos is challenging since surgeons frequently block t…

cs.CV2025

High-Quality Virtual Single-Viewpoint Surgical Video: Geometric Autocalibration of Multiple Cameras in Surgical Lights

Yuna Kato, Mariko Isogawa, Shohei Mori +3

Occlusion-free video generation is challenging due to surgeons' obstructions in the camera field of view. Prior work has addressed this issue by installing multiple cameras on a su…

cs.CV2024

Dense Depth from Event Focal Stack

Kenta Horikawa, Mariko Isogawa, Hideo Saito +1

We propose a method for dense depth estimation from an event stream generated when sweeping the focal plane of the driving lens attached to an event camera. In this method, a depth…