Stereo Correspondence and Reconstruction of Endoscopic Data Challenge

01/04/2021

∙

The stereo correspondence and reconstruction of endoscopic data sub-challenge was organized during the Endovis challenge at MICCAI 2019 in Shenzhen, China. The task was to perform dense depth estimation using 7 training datasets and 2 test sets of structured light data captured using porcine cadavers. These were provided by a team at Intuitive Surgical. 10 teams participated in the challenge day. This paper contains 3 additional methods which were submitted after the challenge finished as well as a supplemental section from these teams on issues they found with the dataset.

READ FULL TEXT

Stereo Correspondence and Reconstruction of Endoscopic Data Challenge

Stereo Dense Scene Reconstruction and Accurate Laparoscope Localization for Learning-Based Navigation in Robot-Assisted Surgery

The Monocular Depth Estimation Challenge

Depth Estimation maps of lidar and stereo images

NTIRE 2022 Challenge on Stereo Image Super-Resolution: Methods and Results

3D endoscopic depth estimation using 3D surface-aware constraints

Single-Stage 3D Geometry-Preserving Depth Estimation Model Training on Dataset Mixtures with Uncalibrated Stereo Data

SocialNLP EmotionX 2019 Challenge Overview: Predicting Emotions in Spoken Dialogues and Chats

Stereo Correspondence and Reconstruction of Endoscopic Data Challenge

Related Research

Stereo Dense Scene Reconstruction and Accurate Laparoscope Localization for Learning-Based Navigation in Robot-Assisted Surgery

The Monocular Depth Estimation Challenge

Depth Estimation maps of lidar and stereo images

NTIRE 2022 Challenge on Stereo Image Super-Resolution: Methods and Results

3D endoscopic depth estimation using 3D surface-aware constraints

Single-Stage 3D Geometry-Preserving Depth Estimation Model Training on Dataset Mixtures with Uncalibrated Stereo Data

SocialNLP EmotionX 2019 Challenge Overview: Predicting Emotions in Spoken Dialogues and Chats