Stupa Sports Analytics
1 week ago
About the Role :
We are seeking an experienced Computer Vision Engineer to join our team and contribute to cutting-edge projects in 3D vision and reconstruction.
The ideal candidate will have a strong background in camera calibration, stereo vision, multi-view geometry, and 3D reconstruction techniques.
Key Responsibilities :
- Develop and implement advanced computer vision algorithms for 3D reconstruction and analysis
- Design and optimize camera calibration procedures for various imaging systems.
- Create robust stereo vision solutions for depth estimation and object localization.
- Implement multi-view geometry techniques for scene understanding and 3D modeling.
- Develop efficient triangulation methods for 3D point cloud generation.
- Collaborate with cross-functional teams to integrate computer vision solutions into larger systems.
- Stay current with the latest advancements in computer vision and contribute to research initiatives.
Required Qualifications :
- Bachelors in Computer Science, Computer Engineering, or a related field.
- 3+ years of experience in computer vision, with a focus on 3D vision techniques.
- Strong proficiency in camera calibration methods and tools.
- Extensive experience with stereo vision algorithms and epipolar geometry.
- In-depth knowledge of multi-view geometry and structure-from-motion techniques.
- Proven track record in developing 3D reconstruction pipelines.
- Expert-level programming skills in C++ and Python.
- Experience with OpenCV, PCL, or similar computer vision libraries.
- Familiarity with deep learning frameworks (e., TensorFlow, PyTorch) for vision task.
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