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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.
Requirements
- 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
Tasks
- 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.
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- 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.
Requirements
- 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
Tasks
- 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.
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- C++
- Python
- Structure from Motion (SfM)
- Multi-View Stereo (MVS)
- photogrammetry
- COLMAP
- Open3D
- PCL
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Intrinsic
Industry
Engineering
Description
The company aims to reimagine the potential of industrial robotics, making it intelligent and accessible for businesses and developers.
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