Role Description
- Design and implement robust computer vision algorithms for object detection, recognition, tracking, and scene understanding
- Multi-View Geometry: Apply multi-view geometry techniques to develop 3D reconstruction, localization, and mapping solutions
- Classical Computer Vision: Utilize classical computer vision methods including feature extraction, image processing, and segmentation
- Collaboration: Work closely with cross-functional teams, including hardware engineers, software developers
- Research and Innovation: Stay updated with the latest advancements in computer vision and robotics, and apply innovative techniques to
improve perception systems
Skill Requirements
Primary Skills (Must have skills) :
- Experience with computer vision applications on monocular and stereo imaging
- Working knowledge of 3D localisation and mapping techniques on monocular and stereo imaging
- Understanding of video annotation, video analytics, 3D and Stereo capture and Visualisation
- Proficiency in multimodal image registration (CT-CT, CT-MRI, Fluro-Endo, 3D-3D, 2D-3D)
- Experience with image denoising and enhancement
- Strong understanding of camera models (e.g. pin-hole, fish-eye ) and camera calibration processes
- Proficient in multi-view geometry and 3D reconstruction techniques
- Strong knowledge of classical computer vision algorithms
- Proficient in programming languages such as Python/ C++/ MATLAB
- Experience with computer vision libraries (e.g., OpenCV, PCL)
Secondary Skills: (Good to Have)
- Experience in endoscopy imaging, image mosiacing, image fusion with ultrasound imaging.
- Working knowledge of deep learning frameworks (e.g., TensorFlow, PyTorch) is a plus
- Strong problem-solving and analytical skills
- Excellent communication and teamwork abilities
- Ability to work in a fast-paced and dynamic environment
Qualifications And Education Requirements
- Education: Bachelor's , Master's or PhD's degree in Computer Science or related field
- Experience: Minimum of 14+ years of experience in computer vision