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Intern: Software Engineering for Multi-View 3D Reconstruction(m/w/x)
Developing dense multi-view 3D reconstruction pipelines, generating 3D ground truth from posed images for industrial robotics. Strong C++/Python proficiency and 3D computer vision concepts experience (SfM, MVS) required. Work on AI-driven industrial robotics perception systems.
Anforderungen
- Bachelor’s student in Computer Science, Robotics, Computer Vision, or related field (Master's preferred)
- Strong proficiency in C++ and/or Python
- Experience with 3D computer vision concepts (SfM, MVS, or photogrammetry)
- Familiarity with point cloud processing, 3D geometry, and linear algebra
- Experience with 3D vision libraries and tools (COLMAP, Open3D, PCL, or similar)
- Enthusiasm for solving challenging problems in benchmarking, data evaluation, and perception algorithms
Aufgaben
- Develop and implement a dense multi-view reconstruction pipeline.
- Generate accurate 3D ground truth from posed images.
- Support single-shot reconstruction algorithms.
- Apply Deep learning based SfM techniques.
- Create a robust benchmark for point-cloud models.
- Analyze reconstruction quality.
- Integrate and calibrate 3D sensors for data collection.
- Ensure high fidelity and completeness.
- Collaborate with the perception team.
- Validate ground-truth pipelines.
- Support evaluation of advanced perception algorithms.
- Contribute to improving internal data tools.
- Establish reliable standards for point-cloud accuracy.
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- C++
- Python
- Structure from Motion (SfM)
- Multi-View Stereo (MVS)
- photogrammetry
- COLMAP
- Open3D
- PCL
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Intern: Software Engineering for Multi-View 3D Reconstruction(m/w/x)
Developing dense multi-view 3D reconstruction pipelines, generating 3D ground truth from posed images for industrial robotics. Strong C++/Python proficiency and 3D computer vision concepts experience (SfM, MVS) required. Work on AI-driven industrial robotics perception systems.
Anforderungen
- Bachelor’s student in Computer Science, Robotics, Computer Vision, or related field (Master's preferred)
- Strong proficiency in C++ and/or Python
- Experience with 3D computer vision concepts (SfM, MVS, or photogrammetry)
- Familiarity with point cloud processing, 3D geometry, and linear algebra
- Experience with 3D vision libraries and tools (COLMAP, Open3D, PCL, or similar)
- Enthusiasm for solving challenging problems in benchmarking, data evaluation, and perception algorithms
Aufgaben
- Develop and implement a dense multi-view reconstruction pipeline.
- Generate accurate 3D ground truth from posed images.
- Support single-shot reconstruction algorithms.
- Apply Deep learning based SfM techniques.
- Create a robust benchmark for point-cloud models.
- Analyze reconstruction quality.
- Integrate and calibrate 3D sensors for data collection.
- Ensure high fidelity and completeness.
- Collaborate with the perception team.
- Validate ground-truth pipelines.
- Support evaluation of advanced perception algorithms.
- Contribute to improving internal data tools.
- Establish reliable standards for point-cloud accuracy.
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- C++
- Python
- Structure from Motion (SfM)
- Multi-View Stereo (MVS)
- photogrammetry
- COLMAP
- Open3D
- PCL
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Intrinsic
Branche
Engineering
Beschreibung
The company aims to reimagine the potential of industrial robotics, making it intelligent and accessible for businesses and developers.
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