Pair Inc. is the leading Augmented Reality commerce platform on mobile with leading manufacturers and a rapidly growing user base. We are building the infrastructure of the metaverse one customer at a time.
Ideal candidates will have strong familiarity with real-time image processing and embedded vision algorithms. You should have a working knowledge of object tracking, feature detection, multi-sensor fusion, structure from motion, object detection/classification, scene understanding, visual odometry, and 3D scene reconstruction.
Required Qualifications
* MS/PhD in Computer Science, Mathematics, or equivalent
* Strong object-oriented implementation skills (C++)
* Deep experience with OpenCV
* Experience applying machine learning to real-world vision problems
Interview Process (~1 week total):
1. We review any applicable previous work you provide (CV/Portfolio/Github)
What would be considered deep experience with OpenCV?
also, assuming you have said experience, is there a function somewhere that lets you do a findHomography with ransac, but lets you assume there's no perspective transformation? estimateRigidTransform seems close, but doesn't like outliers?
You should be comfortable enough with OpenCV that you can extend or modify it as needed, to accommodate additional use cases that are not within it's current functionality.
edit 2: solvePnP should give you what you need for your second question.
Pair Inc. is the leading Augmented Reality commerce platform on mobile with leading manufacturers and a rapidly growing user base. We are building the infrastructure of the metaverse one customer at a time.
Ideal candidates will have strong familiarity with real-time image processing and embedded vision algorithms. You should have a working knowledge of object tracking, feature detection, multi-sensor fusion, structure from motion, object detection/classification, scene understanding, visual odometry, and 3D scene reconstruction.
Required Qualifications
Interview Process (~1 week total):1. We review any applicable previous work you provide (CV/Portfolio/Github)
2. 30 minute Phone or Skype call with team
3. Paid work sample test specific to position
Send inquiries to: [email protected]