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Keypoint detection and tracking are fundamental tasks in computer vision, critical for applications like visual odometry, SLAM, and object recognition. While traditional frame-based methods have made significant progress, event-based cameras offer unique advantages, such as high temporal resolution and low latency, making them ideal for dynamic scenes.
However, the challenge lies in accurately detecting and tracking keypoints from the sparse and asynchronous event data, where feature appearances are highly dependent on camera motion.
This internship focuses on using machine learning to detect, track, and compute descriptors for keypoints from event-based data. By leveraging well-studied losses from frame-based approaches.
The goal is to develop a robust system that generalizes well to arbitrary scenes, making it a versatile tool for various vision-based applications.
Technical Skills:
Salary package : 80% SMIC (9,32 €/h)
Meal vouchers : 9€ / working day (Swile card)
Working hours : 35h / week
Office location : Paris Bastille (74 rue du Faubourg Saint Antoine 75012)
Other benefits : CSE, Incluson & Diversity
We believe in fostering an inclusive environment where everyone is valued and respected. We welcome candidates from diverse backgrounds and are committed to ensuring equal opportunities for all, regardless of race, gender, disability, or any other characteristic.
Apply now
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