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Masaru Ishii

3 accepted papers

2022

SAGE: SLAM with Appearance and Geometry Prior for Endoscopy

ICRA 2022poster

In endoscopy, many applications (e.g., surgical navigation) would benefit from a real-time method that can simultaneously track the endoscope and reconstruct the dense 3D geometry of the observed anatomy from a monocular endoscopic video. To this end, we develop a Simultaneous Localization and Mappi…

Cited by 44SourcecodeScholar
2021

Neighborhood Normalization for Robust Geometric Feature Learning

CVPR 2021poster

Extracting geometric features from 3D models is a common first step in applications such as 3D registration, tracking, and scene flow estimation. Many hand-crafted and learning-based methods aim to produce consistent and distinguishable geometric features for 3D models with partial overlap. These me…

Cited by 6PDFcodeScholar
2020

Extremely Dense Point Correspondences Using a Learned Feature Descriptor

CVPR 2020poster

High-quality 3D reconstructions from endoscopy video play an important role in many clinical applications, including surgical navigation where they enable direct video-CT registration. While many methods exist for general multi-view 3D reconstruction, these methods often fail to deliver satisfactory…

Cited by 62PDFcodeScholar