# Dense<scp>GPU</scp>-enhanced surface reconstruction from stereo endoscopic images for intraoperative registration

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/dense-scp-gpu-scp-enhanced-surface-reconstruction-from-stereo-endoscopic-images/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Sebastian Röhl,Sebastian Bodenstedt,Stefan Suwelack,Hannes Kenngott,Beat P. Müller‐Stich,Rüdiger Dillmann,Stefanie Speidel |
| Citations | 95 |
| DOI | 10.1118/1.3681017 |
| Fields | Computer Science,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2062433642 |
| PMID | 22380395 |
| Type | article |
| Year | 2012 |

## Paper authors

- [Sebastian Bodenstedt](https://scholariq.org/researchers/sebastian-bodenstedt/)

## Paper primary topic

- [Advanced Vision and Imaging](https://scholariq.org/topics/advanced-vision-and-imaging/)

## Paper topics

- [Advanced Vision and Imaging](https://scholariq.org/topics/advanced-vision-and-imaging/)
- [Robotics and Sensor-Based Localization](https://scholariq.org/topics/robotics-and-sensor-based-localization/)
- [Optical measurement and interference techniques](https://scholariq.org/topics/optical-measurement-and-interference-techniques/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.