Endoscopic Vision

We provides a number of algorithms for endoscopic vision applications, ranging from basics such as camera calibration, hand-eye calibration and framegrabber integration to advanced topics such as SLAM and monocular depth estimation.

A particular focus is on run-time performance and efficient utilization of GPU resources.

State of the art machine learning models are available for tasks such as:

Depth computation from stereo images.

Monocular Depth Estimation.

6D Tool Pose Estimation from endoscopy video.

Endoscopy specific feature matching.

Endoscopic tool segmentation.

Monocular Depth Estimation