Posted:3 days ago| Platform: Linkedin logo

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Job Type

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Job Description

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 8 years of experience in computer vision

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