Kaiyun Zhang — accepted AI-conference papers

2023

DGN: Descriptor Generation Network for Feature Matching in Monocular Endoscopy 3D Reconstruction

Kaiyun Zhang, Wenkang Fan, Yinran Chen, Xiongbiao Luo

ICASSP 2023accepted

Endoscopy 3D reconstruction can provide more intuitive perception of the lesions in minimally invasive surgery. The success of 3D reconstruction highly relies on high-quality feature matches between the monocular image pairs, which remains challenging in the textureless endoscopic scenario. In this…

Cited by 0 Source ↗Scholar ↗

2023

Deep Triple-Supervision Learning Unannotated Surgical Endoscopic Video Data for Monocular Dense Depth Estimation

Wenkang Fan, Kaiyun Zhang, Hong Shi, Jianhua Chen, Yinran Chen, Xiongbiao Luo

ICASSP 2023accepted

Surface reconstruction is an essential way to expand surgical field of view during endoscopic surgery, but it certainly requires dense depth estimation of endoscopic video sequences. Unfortunately, such a dense depth recovery suffers from illumination variation, weak texture, and occlusion. To addre…

Cited by 0 Source ↗Scholar ↗