Computer Vision Solutions Architect
Stupa SportsGurgaon, Republic Of India, IN2 days ago
Job descriptionDesign 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 Develop efficient triangulation methods for 3D point cloud generation Collaborate with cross-functional teams to integrate computer vision solutions into Stay current with the latest advancements in computer vision and contribute to Bachelors in Computer Science, Computer Engineering, or a related field 3-5 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.G., TensorFlow, PyTorch) for vision tasks
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
modeling
larger systems
research initiatives
Required Qualifications
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Solution Architect • Gurgaon, Republic Of India, IN